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Как я автоматизировал создание стикеров для соцсетей: локально обучаем стилевую LoRA для SD 1.5 на 30 картинках

Генерация красивых единичных артов давно перестала быть проблемой. Но как только возникает прикладная задача — например, сделать серию консистентных иллюстраций или заготовок для стикерпака в едином стиле — обычный промпт‑инжиниринг начинает буксовать. Закрытые модели дают высокое качество, но забирают контроль и навязывают свое видение.

Поэтому я решил собрать собственный контролируемый пайплайн. Базой для эксперимента была выбрана Stable Diffusion 1.5. Да, это далеко не самая новая архитектура: она хуже современных моделей понимает комплексные описания, чаще ломает анатомию и ограничена базовым разрешением 512×512. Но у неё остаются неоспоримые козыри: низкие требования к железу, гигантская экосистема (ControlNet, чекпоинты) и возможность быстро обучать и тестировать гипотезы на домашнем ПК.

Суть эксперимента — обучить стилевую LoRA на обезличенной подборке стикеров из ВК. Модель должна была выучить не лицо конкретного персонажа и не манеру конкретного художника, а общие паттерны жанра: белый фон, упрощённые формы, характерный векторный контур и мультяшную выразительность эмоций.

Сбор датасета

Изображения были вручную отобраны с сайта stickersvk.com. Сайт сообщает, что все права на стикеры принадлежат их авторам.

  • Во‑первых, стикеры будут использоваться не с целью скопировать стиль конкретного автора или его персонажей, это исключено подходом к отбору стикеров и дальнейшей разметке данных.

  • Во‑вторых, обучение модели будет производиться исключительно в образовательных целях, полученная LoRA не будет использоваться в коммерческих и каких‑либо других целях, кроме исследовательских.

  • В‑третьих, изображения не будут храниться на моем устройстве и будут удалены сразу после обучения модели.

При сборе датасета было важно не дать модели возможности запомнить один конкретный стикерпак. Если взять много изображений одного персонажа, LoRA с большой вероятностью начнёт воспроизводить не абстрактный стиль, а его внешность, характерные пропорции и повторяющиеся элементы дизайна.

Брал по одному стикеру из каждого подходящего пака чтобы модель не запомнила конкретных героев и стиль конкретного автора. Выбирал животных, людей и понятные объекты (сердце, облако). Не брал сильно отличающиеся по стилю, например, без характерных черных линий или излишне детализированные/упрощенные. В каждом паке выбирал изображения без текста и сложных поз/жестов. Всего собрал 30 стикеров.

Такой небольшой датасет не позволяет охватить всё возможное разнообразие стикерной графики, но для первого контролируемого обучения его достаточно. В нём представлены разные типы субъектов, а повторяющиеся признаки относятся преимущественно к визуальной подаче, а не к содержанию.

Слева – стикеры, попавшие в датасет; справа – варианты, которые были исключены
Слева — стикеры, попавшие в датасет; справа — варианты, которые были исключены

На примерах выше видно, какие изображения исключались из датасета. Слишком сложные позы, текст, нестандартный контур или сильно отличающийся рендер могли добавить в обучение лишние закономерности. Хорошие примеры, наоборот, содержат один легко распознаваемый субъект, простую композицию и характерные признаки нужного стиля.

Изначально стикеры имели прозрачный фон. Для обучения было необходимо заменить его на белый и преобразовать изображения в JPG.

Gemini 3.1 Pro написал программу, которая добавила белый фон каждому стикеру и сохранила в JPG. Считаю приемлемым использование генеративного ИИ в работе, если это ускоряет процесс разработки, сокращает объём рутины и служит лишь инструментом реализации человеческой идеи.

Экономим время и делегируем создание инструмента нейросети
Экономим время и делегируем создание инструмента нейросети
Скрипт (Python): Замена прозрачного фона на белый

Инструмент: сгенерировано в Gemini 3.1 Pro. Скрипт берет изображения с альфа‑каналом и аккуратно накладывает их на белый фон, сохраняя в JPG.

pip install pillow
import os
from PIL import Image

def add_white_background(input_dir, output_dir):
    # Создаем папку для сохранения, если ее нет
    if not os.path.exists(output_dir):
        os.makedirs(output_dir)

    # Поддерживаемые форматы (можно расширить)
    valid_extensions = ('.png', '.webp', '.jpg', '.jpeg', '.gif', '.bmp')

    for filename in os.listdir(input_dir):
        if not filename.lower().endswith(valid_extensions):
            continue

        input_path = os.path.join(input_dir, filename)
        
        # Сохранять будем в JPG, так как прозрачность нам больше не нужна
        name, _ = os.path.splitext(filename)
        output_filename = f"{name}.jpg"
        output_path = os.path.join(output_dir, output_filename)

        try:
            with Image.open(input_path) as img:
                # Переводим в RGBA, чтобы гарантированно получить альфа-канал (прозрачность)
                img_rgba = img.convert("RGBA")
                
                # Создаем абсолютно белое изображение такого же размера
                white_bg = Image.new("RGBA", img.size, "WHITE")
                
                # Накладываем исходное изображение на белый фон
                # Третий аргумент (img_rgba) используется как маска прозрачности
                white_bg.paste(img_rgba, (0, 0), img_rgba)
                
                # Конвертируем обратно в RGB (без прозрачности) для сохранения в JPEG
                final_img = white_bg.convert("RGB")
                final_img.save(output_path, "JPEG", quality=95)
                
            print(f"✅ Успешно: {filename} -> {output_filename}")
            
        except Exception as e:
            print(f"❌ Ошибка при обработке {filename}: {e}")

if __name__ == "__main__":
    # Укажите здесь пути к вашим папкам
    INPUT_FOLDER = "images"         # Папка с исходными картинками
    OUTPUT_FOLDER = "images_white"  # Папка для готовых картинок

    print("Начинаем обработку...")
    add_white_background(INPUT_FOLDER, OUTPUT_FOLDER)
    print("Готово!")

Само решение, структуру датасета и требования к обработке определял я. Генеративная модель использовалась как способ быстро получить небольшой утилитарный скрипт вместо ручной обработки каждого файла.

После выполнения программы все изображения были дополнительно проверены. Важно убедиться, что прозрачность действительно была заменена на белый фон, изображения не получили чёрную подложку, а цветовые каналы сохранились корректно.

Выбор триггера и разметка

Триггером был выбран токен «vkstckrs» как уникальная производная от «VK stickers». Не добавлял имена героев стикерпаков и имена авторов для исключения нарушения авторского права при использовании модели.

Уникальный токен нужен для того, чтобы во время генерации явно активировать обученные признаки. Он не должен быть обычным английским словом с уже существующим значением для текстового энкодера. Иначе поведение LoRA теоретически может смешиваться с тем, что базовая модель знала до обучения.

SD1.5 лучше понимает теговую разметку в Danbooru стиле и короткие фразы. Размечать нужно то, что модель не должна выучить. Учим стиль и белый фон — размечаем содержимое. ChatGPT 5.6 написал программу, которая разметила каждый стикер короткой английской фразой через BLIP.

Разметить 30 картинок вручную не составило бы труда, но созданный сейчас инструмент облегчит разметку в десятках последующих проектов
Разметить 30 картинок вручную не составило бы труда, но созданный сейчас инструмент облегчит разметку в десятках последующих проектов
Скрипт (Python): Автоматический captioning через BLIP

Скрипт локально загружает модель Salesforce/blip-image-captioning-large с Hugging Face и создает .txt файл для каждой картинки. Мы сразу закладываем возможность передать наш триггер vkstckrs через аргументы командной строки.

#!/usr/bin/env python3
"""Автоматическая генерация caption-файлов для датасета LoRA SD 1.5."""

from __future__ import annotations

import argparse
import sys
from pathlib import Path
from typing import Iterable

import torch
from PIL import Image, ImageOps, UnidentifiedImageError
from tqdm import tqdm
from transformers import BlipForConditionalGeneration, BlipProcessor


IMAGE_EXTENSIONS = {
    ".jpg",
    ".jpeg",
    ".png",
    ".webp",
    ".bmp",
    ".tif",
    ".tiff",
    ".gif",
}


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser(
        description=(
            "Создаёт одноимённый .txt-caption рядом с каждым изображением "
            "для обучения LoRA Stable Diffusion 1.5."
        )
    )

    parser.add_argument(
        "folder",
        type=Path,
        help="Папка с изображениями",
    )
    parser.add_argument(
        "--model",
        default="Salesforce/blip-image-captioning-large",
        help="Модель Hugging Face для генерации подписей",
    )
    parser.add_argument(
        "--trigger",
        default="",
        help='Trigger word LoRA, например: "sks_person"',
    )
    parser.add_argument(
        "--prompt",
        default="",
        help='Начало, задаваемое модели, например: "a photo of"',
    )
    parser.add_argument(
        "--prefix",
        default="",
        help="Текст, добавляемый перед сгенерированной подписью",
    )
    parser.add_argument(
        "--suffix",
        default="",
        help="Текст, добавляемый после сгенерированной подписи",
    )
    parser.add_argument(
        "--recursive",
        action="store_true",
        help="Обрабатывать также вложенные папки",
    )
    parser.add_argument(
        "--overwrite",
        action="store_true",
        help="Перезаписывать уже существующие .txt-файлы",
    )
    parser.add_argument(
        "--device",
        choices=("auto", "cuda", "mps", "cpu"),
        default="auto",
        help="Устройство вычислений",
    )
    parser.add_argument(
        "--max-new-tokens",
        type=int,
        default=50,
        help="Максимальная длина генерируемой подписи",
    )
    parser.add_argument(
        "--num-beams",
        type=int,
        default=4,
        help="Число лучей beam search; больше — медленнее",
    )

    return parser.parse_args()


def choose_device(requested: str) -> torch.device:
    if requested == "cuda":
        if not torch.cuda.is_available():
            raise RuntimeError(
                "CUDA запрошена, но недоступна в установленном PyTorch."
            )
        return torch.device("cuda")

    if requested == "mps":
        if not torch.backends.mps.is_available():
            raise RuntimeError("MPS запрошен, но недоступен.")
        return torch.device("mps")

    if requested == "cpu":
        return torch.device("cpu")

    if torch.cuda.is_available():
        return torch.device("cuda")

    if torch.backends.mps.is_available():
        return torch.device("mps")

    return torch.device("cpu")


def find_images(folder: Path, recursive: bool) -> list[Path]:
    iterator: Iterable[Path]

    if recursive:
        iterator = folder.rglob("*")
    else:
        iterator = folder.iterdir()

    return sorted(
        path
        for path in iterator
        if path.is_file() and path.suffix.lower() in IMAGE_EXTENSIONS
    )


def clean_text(text: str) -> str:
    return " ".join(text.replace("\n", " ").split()).strip(" ,")


def assemble_caption(
    generated: str,
    trigger: str,
    prefix: str,
    suffix: str,
) -> str:
    parts = [
        clean_text(value)
        for value in (trigger, prefix, generated, suffix)
    ]

    return ", ".join(part for part in parts if part)


def prepare_inputs(
    processor: BlipProcessor,
    image: Image.Image,
    prompt: str,
    device: torch.device,
    float_dtype: torch.dtype,
) -> dict[str, torch.Tensor]:
    if prompt:
        batch = processor(
            images=image,
            text=prompt,
            return_tensors="pt",
        )
    else:
        batch = processor(
            images=image,
            return_tensors="pt",
        )

    result: dict[str, torch.Tensor] = {}

    for name, tensor in batch.items():
        tensor = tensor.to(device)

        if torch.is_floating_point(tensor):
            tensor = tensor.to(float_dtype)

        result[name] = tensor

    return result


def main() -> int:
    args = parse_args()
    folder = args.folder.expanduser().resolve()

    if not folder.is_dir():
        print(
            f"Ошибка: папка не найдена: {folder}",
            file=sys.stderr,
        )
        return 2

    if args.max_new_tokens < 1:
        print(
            "Ошибка: --max-new-tokens должен быть больше нуля.",
            file=sys.stderr,
        )
        return 2

    if args.num_beams < 1:
        print(
            "Ошибка: --num-beams должен быть больше нуля.",
            file=sys.stderr,
        )
        return 2

    images = find_images(folder, args.recursive)

    if not images:
        print("Поддерживаемые изображения не найдены.")
        return 0

    try:
        device = choose_device(args.device)
    except RuntimeError as exc:
        print(f"Ошибка: {exc}", file=sys.stderr)
        return 2

    # FP16 ускоряет CUDA. Для CPU и MPS используется FP32.
    model_dtype = (
        torch.float16
        if device.type == "cuda"
        else torch.float32
    )

    print(f"Изображений: {len(images)}")
    print(f"Устройство: {device}")
    print(f"Модель: {args.model}")
    print(
        "При первом запуске веса модели "
        "будут загружены в кэш Hugging Face."
    )

    processor = BlipProcessor.from_pretrained(args.model)

    model = BlipForConditionalGeneration.from_pretrained(
        args.model,
        torch_dtype=model_dtype,
    ).to(device)

    model.eval()

    created = 0
    skipped = 0
    failed: list[tuple[Path, str]] = []

    for image_path in tqdm(
        images,
        desc="Разметка",
        unit="img",
    ):
        caption_path = image_path.with_suffix(".txt")

        if caption_path.exists() and not args.overwrite:
            skipped += 1
            continue

        try:
            with Image.open(image_path) as source:
                image = ImageOps.exif_transpose(source).convert("RGB")

                inputs = prepare_inputs(
                    processor=processor,
                    image=image,
                    prompt=args.prompt,
                    device=device,
                    float_dtype=model_dtype,
                )

            with torch.inference_mode():
                output_ids = model.generate(
                    **inputs,
                    max_new_tokens=args.max_new_tokens,
                    num_beams=args.num_beams,
                )

            generated = processor.decode(
                output_ids[0],
                skip_special_tokens=True,
            )

            caption = assemble_caption(
                generated=generated,
                trigger=args.trigger,
                prefix=args.prefix,
                suffix=args.suffix,
            )

            if not caption:
                raise RuntimeError("модель вернула пустую подпись")

            # Атомарная запись через временный файл.
            temporary_path = caption_path.with_suffix(
                caption_path.suffix + ".tmp"
            )

            temporary_path.write_text(
                caption + "\n",
                encoding="utf-8",
            )

            temporary_path.replace(caption_path)
            created += 1

        except (
            OSError,
            UnidentifiedImageError,
            RuntimeError,
            ValueError,
        ) as exc:
            failed.append((image_path, str(exc)))

    print(f"\nСоздано/обновлено: {created}")
    print(f"Пропущено: {skipped}")
    print(f"Ошибок: {len(failed)}")

    if failed:
        print("\nНеобработанные файлы:", file=sys.stderr)

        for path, error in failed:
            print(f"- {path}: {error}", file=sys.stderr)

        return 1

    return 0


if __name__ == "__main__":
    raise SystemExit(main())

Пример полученной разметки на этом этапе: vkstckrs, vector illustration of a cartoon vampire with red eyes and black hair

Логика здесь обратная той, которая может показаться очевидной на первый взгляд. Если определённый признак явно описывается в каждом caption, модель свяжет его с соответствующими словами, а не с уникальным триггером. Если же общий для датасета стиль не описывать, он начинает ассоциироваться именно с триггером «vkstckrs». Другими словами, размечаем (описываем) то, что нейросеть НЕ должна выучить и добавляем токен (тиггер), куда нейросеть должна «записать» всё остальное.

Автоматическая разметка позволила быстро получить первоначальные текстовые файлы, но её нельзя было использовать без проверки.

Заметил, что в описаниях встречаются ошибки, также некоторые описания содержали описание стиля «vector illustration of a cartoon [subject]». Так как ChatGPT предусмотрел в своей программе добавление промпта, влияющего на разметку, было решено прописать в него это повторяющееся описание стиля, понятное модели BLIP. Это исключило вариативность описания стиля, которую пришлось бы чистить руками. Теперь, когда все файлы разметки содержат одинаковую подстроку, ее можно удалить. Все описания объектов нужно проверить и исправить ошибки.

Такой промежуточный этап позволил привести результаты BLIP к единому формату. Сначала модель получала понятную ей инструкцию и создавала более однообразные captions, после чего повторяющаяся часть, описывающая сам стиль, удалялась программно.

В результате в текстовых файлах оставались только описания содержимого: субъект, эмоция, положение тела и основные объекты.

BLIP оставил косяки, от которых обязательно нужно избавиться
BLIP оставил косяки, от которых обязательно нужно избавиться

Ошибки BLIP особенно заметны на стилизованных и сильно упрощённых изображениях. Модель может неверно определить животное, перепутать предметы или додумать отсутствующие элементы. Поэтому ручная проверка остаётся обязательной даже при автоматизации captioning.

Gemini написал программу, которая удалила подстроку «vector illustration of a cartoon » из всех файлов разметки. После удаления подстроки я ещё раз просмотрел все текстовые файлы и проверил, что предложения остались грамматически понятными, а описание субъекта не потерялось.

Скрипт (Python): Удаление подстроки из.txt файлов

Утилитарный скрипт, который проходит по всем файлам датасета и вычищает повторяющийся стиль, оставляя только описание субъекта.

import os
from pathlib import Path

def remove_substring_from_files(folder_path, target_substring):
    # Преобразуем путь в объект Path
    folder = Path(folder_path)
    
    # Проверяем, существует ли папка
    if not folder.is_dir():
        print(f"Ошибка: Папка '{folder_path}' не найдена.")
        return

    # Ищем все .txt файлы в папке (если нужны другие форматы, измените "*.txt" на "*.*")
    # Если нужно искать и в подпапках, используйте rglob("*.txt") вместо glob
    txt_files = list(folder.glob("*.txt"))
    
    if not txt_files:
        print("В указанной папке нет текстовых файлов.")
        return

    processed_count = 0
    
    for file_path in txt_files:
        try:
            # Читаем содержимое файла
            with open(file_path, 'r', encoding='utf-8') as file:
                content = file.read()
            
            # Если подстрока есть в тексте, заменяем её на пустоту
            if target_substring in content:
                new_content = content.replace(target_substring, "")
                
                # Перезаписываем файл с новым содержимым
                with open(file_path, 'w', encoding='utf-8') as file:
                    file.write(new_content)
                
                print(f"Обновлен файл: {file_path.name}")
                processed_count += 1
                
        except Exception as e:
            print(f"Ошибка при обработке файла {file_path.name}: {e}")

    print(f"\nГотово! Изменено файлов: {processed_count} из {len(txt_files)}")

# --- ИСПОЛЬЗОВАНИЕ ---

# Укажите путь к вашей папке с файлами. 
# Обратите внимание на букву 'r' перед строкой пути для Windows (чтобы слеши читались корректно)
DIRECTORY_PATH = r"images_white" 

# Точная строка для удаления (скопирована из вашего запроса)
STRING_TO_REMOVE = "vector illustration of a cartoon "

remove_substring_from_files(DIRECTORY_PATH, STRING_TO_REMOVE)

Итоговый вид разметки (то, что пошло в обучение): vkstckrs, vampire with red eyes and black hair

Итоговая структура датасета была простой: JPG‑изображение и одноимённый текстовый файл с коротким англоязычным описанием.

Подготовка к обучению

Платформой обучения был выбран OneTrainer. SD1.5 является простой моделью, не требующей в моем кейсе тонкой настройки через kohya_ss, который является стандартом обучения моделей семейства Stable Diffuison. Было отдано предпочтение удобству интерфейса и автоматизации процесса.

OneTrainer позволяет настроить датасет, параметры LoRA, оптимизатор, сохранение промежуточных версий и создание сэмплов во время обучения через графический интерфейс. Для небольшого стилевого эксперимента этого более чем достаточно.

Установка прошла через официальный репозиторий GitHub и файл install.bat.

После клонирования репозитория достаточно запустить установочный файл и дождаться создания окружения и загрузки зависимостей. Процесс может занять время в зависимости от скорости интернета и доступности некоторых пакетов в текущих условиях фильтрации трафика.

Для обучения использовались следующие основные параметры. Так как датасет небольшой, обучение заняло всего 100 эпох.

  • Модель: Stable Diffusion 1.5 (stable-diffusion-v1-5)

  • Оптимизатор: AdamW (с включенным use_schedulefree: true)

  • Learning Rate: 1e-4 (0.0001) для UNet и 1e-5 (0.00001) для Text Encoder.

  • LoRA Rank (Dim) / Alpha: 32 / 16

  • Batch Size: 1

  • Resolution: 512×512

  • Precision: FP16 (Mixed Precision)

  • Эпохи: 100 (сохранение каждые 100 шагов)

Полный конфиг OneTrainer (.json)

Этот файл можно импортировать в OneTrainer, чтобы полностью повторить настройки моего эксперимента.

{
    "__version": 11,
    "training_method": "LORA",
    "model_type": "STABLE_DIFFUSION_15",
    "debug_mode": false,
    "debug_dir": "debug",
    "workspace_dir": "workspace/run",
    "cache_dir": "workspace-cache/run",
    "huggingface_cache_dir": "",
    "offline_mode": false,
    "tensorboard": true,
    "tensorboard_expose": false,
    "tensorboard_always_on": false,
    "tensorboard_port": 6006,
    "validation": false,
    "validate_after": 1,
    "validate_after_unit": "EPOCH",
    "continue_last_backup": false,
    "prevent_overwrites": false,
    "include_train_config": "NONE",
    "multi_gpu": false,
    "device_indexes": "",
    "gradient_reduce_precision": "FLOAT_32_STOCHASTIC",
    "fused_gradient_reduce": true,
    "async_gradient_reduce": true,
    "async_gradient_reduce_buffer": 100,
    "base_model_name": "stable-diffusion-v1-5/stable-diffusion-v1-5",
    "output_dtype": "FLOAT_32",
    "output_model_format": "KOHYA_LORA",
    "output_model_destination": "models/lvkstckrs.safetensors",
    "async_offloading": true,
    "force_circular_padding": false,
    "compile": false,
    "concept_file_name": "training_concepts/concepts.json",
    "concepts": [
        {
            "__version": 2,
            "image": {
                "__version": 0,
                "enable_crop_jitter": true,
                "enable_random_flip": false,
                "enable_fixed_flip": false,
                "enable_random_rotate": false,
                "enable_fixed_rotate": false,
                "random_rotate_max_angle": 0.0,
                "enable_random_brightness": false,
                "enable_fixed_brightness": false,
                "random_brightness_max_strength": 0.0,
                "enable_random_contrast": false,
                "enable_fixed_contrast": false,
                "random_contrast_max_strength": 0.0,
                "enable_random_saturation": false,
                "enable_fixed_saturation": false,
                "random_saturation_max_strength": 0.0,
                "enable_random_hue": false,
                "enable_fixed_hue": false,
                "random_hue_max_strength": 0.0,
                "enable_resolution_override": false,
                "resolution_override": "512",
                "enable_random_circular_mask_shrink": false,
                "enable_random_mask_rotate_crop": false
            },
            "text": {
                "__version": 0,
                "prompt_source": "sample",
                "prompt_path": "",
                "enable_tag_shuffling": false,
                "tag_delimiter": ",",
                "keep_tags_count": 1,
                "tag_dropout_enable": false,
                "tag_dropout_mode": "FULL",
                "tag_dropout_probability": 0.0,
                "tag_dropout_special_tags_mode": "NONE",
                "tag_dropout_special_tags": "",
                "tag_dropout_special_tags_regex": false,
                "caps_randomize_enable": false,
                "caps_randomize_mode": "capslock, title, first, random",
                "caps_randomize_probability": 0.0,
                "caps_randomize_lowercase": false
            },
            "name": "main",
            "path": "C:/Users/arkin/Downloads/stickers/images_white",
            "seed": 949656464,
            "enabled": true,
            "type": "STANDARD",
            "include_subdirectories": false,
            "image_variations": 1,
            "text_variations": 1,
            "balancing": 1.0,
            "balancing_strategy": "REPEATS",
            "loss_weight": 1.0,
            "concept_stats": {}
        }
    ],
    "aspect_ratio_bucketing": true,
    "latent_caching": true,
    "clear_cache_before_training": true,
    "learning_rate_scheduler": "CONSTANT",
    "custom_learning_rate_scheduler": null,
    "scheduler_params": [],
    "learning_rate": 0.0001,
    "learning_rate_warmup_steps": 200.0,
    "learning_rate_cycles": 1.0,
    "learning_rate_min_factor": 0.0,
    "epochs": 100,
    "batch_size": 1,
    "gradient_accumulation_steps": 1,
    "ema": "OFF",
    "ema_decay": 0.999,
    "ema_update_step_interval": 5,
    "dataloader_threads": 2,
    "train_device": "cuda",
    "temp_device": "cpu",
    "train_dtype": "FLOAT_16",
    "fallback_train_dtype": "BFLOAT_16",
    "enable_autocast_cache": true,
    "only_cache": false,
    "resolution": "512",
    "frames": "25",
    "attention_mechanism": "SDP",
    "mse_strength": 1.0,
    "mae_strength": 0.0,
    "log_cosh_strength": 0.0,
    "huber_strength": 0.0,
    "huber_delta": 1.0,
    "vb_loss_strength": 1.0,
    "loss_weight_fn": "CONSTANT",
    "loss_weight_strength": 5.0,
    "dropout_probability": 0.01,
    "loss_scaler": "NONE",
    "learning_rate_scaler": "NONE",
    "clip_grad_norm": 1.0,
    "offset_noise_weight": 0.0,
    "generalized_offset_noise": false,
    "perturbation_noise_weight": 0.0,
    "rescale_noise_scheduler_to_zero_terminal_snr": false,
    "force_v_prediction": false,
    "force_epsilon_prediction": false,
    "min_noising_strength": 0.0,
    "max_noising_strength": 1.0,
    "timestep_distribution": "UNIFORM",
    "noising_weight": 0.0,
    "noising_bias": 0.0,
    "timestep_shift": 1.0,
    "dynamic_timestep_shifting": false,
    "unet": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": null,
        "stop_training_after_unit": "NEVER",
        "learning_rate": 0.0001,
        "weight_dtype": "FLOAT_16",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "prior": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": 0,
        "stop_training_after_unit": "NEVER",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "transformer": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": 0,
        "stop_training_after_unit": "NEVER",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "unconditional_transformer": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": false,
        "stop_training_after": null,
        "stop_training_after_unit": "NEVER",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": false,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "quantization": {
        "__version": 0,
        "layer_filter": "",
        "layer_filter_preset": "full",
        "layer_filter_regex": false,
        "svd_dtype": "NONE",
        "svd_rank": 16,
        "cache_dir": "workspace-cache/run/quantization"
    },
    "text_encoder": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": null,
        "stop_training_after_unit": "NEVER",
        "learning_rate": 1e-05,
        "weight_dtype": "FLOAT_16",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "text_encoder_layer_skip": 0,
    "text_encoder_sequence_length": 512,
    "text_encoder_2": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": 30,
        "stop_training_after_unit": "EPOCH",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "text_encoder_2_layer_skip": 0,
    "text_encoder_2_sequence_length": 77,
    "text_encoder_3": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": 30,
        "stop_training_after_unit": "EPOCH",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "text_encoder_3_layer_skip": 0,
    "text_encoder_4": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": 30,
        "stop_training_after_unit": "EPOCH",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "text_encoder_4_layer_skip": 0,
    "vae": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": null,
        "stop_training_after_unit": "NEVER",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "effnet_encoder": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": null,
        "stop_training_after_unit": "NEVER",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "decoder": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": null,
        "stop_training_after_unit": "NEVER",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "decoder_text_encoder": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": null,
        "stop_training_after_unit": "NEVER",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "decoder_vqgan": {
        "__version": 0,
        "model_name": "",
        "include": true,
        "train": true,
        "stop_training_after": null,
        "stop_training_after_unit": "NEVER",
        "learning_rate": null,
        "weight_dtype": "FLOAT_32",
        "dropout_probability": 0.0,
        "train_embedding": true,
        "attention_mask": false,
        "guidance_scale": 1.0,
        "gradient_checkpointing": true,
        "offload_fraction": 0.0,
        "activation_offloading": false
    },
    "masked_training": false,
    "unmasked_probability": 0.1,
    "unmasked_weight": 0.1,
    "normalize_masked_area_loss": false,
    "masked_prior_preservation_weight": 0.0,
    "custom_conditioning_image": false,
    "layer_filter": "attentions",
    "layer_filter_preset": "attn-mlp",
    "layer_filter_regex": false,
    "embedding_learning_rate": null,
    "preserve_embedding_norm": false,
    "embedding": {
        "__version": 0,
        "uuid": "753a3416-4ffe-4420-b1b1-18b6d432b608",
        "model_name": "",
        "placeholder": "<embedding>",
        "train": true,
        "stop_training_after": null,
        "stop_training_after_unit": "NEVER",
        "token_count": 1,
        "initial_embedding_text": "*",
        "is_output_embedding": false
    },
    "additional_embeddings": [],
    "embedding_weight_dtype": "FLOAT_32",
    "cloud": {
        "__version": 0,
        "enabled": false,
        "type": "RUNPOD",
        "file_sync": "NATIVE_SCP",
        "create": true,
        "name": "OneTrainer",
        "tensorboard_tunnel": true,
        "sub_type": "",
        "gpu_type": "",
        "volume_size": 100,
        "min_download": 0,
        "remote_dir": "/workspace",
        "huggingface_cache_dir": "/workspace/huggingface_cache",
        "onetrainer_dir": "/workspace/OneTrainer",
        "install_cmd": "git clone https://github.com/Nerogar/OneTrainer",
        "install_onetrainer": true,
        "update_onetrainer": true,
        "detach_trainer": false,
        "run_id": "job1",
        "download_samples": true,
        "download_output_model": true,
        "download_saves": true,
        "download_backups": false,
        "download_tensorboard": false,
        "delete_workspace": false,
        "on_finish": "NONE",
        "on_error": "NONE",
        "on_detached_finish": "NONE",
        "on_detached_error": "NONE"
    },
    "peft_type": "LORA",
    "lora_model_name": "",
    "lora_rank": 32,
    "lora_alpha": 16.0,
    "lora_decompose": false,
    "lora_decompose_norm_epsilon": true,
    "lora_decompose_output_axis": false,
    "lora_weight_dtype": "FLOAT_32",
    "bundle_additional_embeddings": true,
    "oft_block_size": 32,
    "oft_block_share": false,
    "oft_scaled": false,
    "lokr_dim": 16,
    "lokr_decompose_both": false,
    "lokr_decompose_factor": -1,
    "lokr_use_tucker": false,
    "lokr_weight_decompose": false,
    "lokr_dora_on_output": true,
    "lokr_full_matrix": false,
    "lokr_vec_trick": true,
    "optimizer": {
        "__version": 0,
        "optimizer": "ADAMW",
        "adam_w_mode": false,
        "alpha": null,
        "amsgrad": false,
        "beta1": 0.9,
        "beta2": 0.999,
        "beta3": null,
        "bias_correction": false,
        "block_wise": false,
        "capturable": false,
        "centered": false,
        "clip_threshold": null,
        "d0": null,
        "d_coef": null,
        "dampening": null,
        "decay_rate": null,
        "decouple": false,
        "differentiable": false,
        "eps": 1e-08,
        "eps2": null,
        "foreach": false,
        "fsdp_in_use": false,
        "fused": true,
        "fused_back_pass": false,
        "growth_rate": null,
        "initial_accumulator_value": null,
        "initial_accumulator": null,
        "is_paged": false,
        "log_every": null,
        "lr_decay": null,
        "max_unorm": null,
        "maximize": false,
        "min_8bit_size": null,
        "quant_block_size": null,
        "momentum": null,
        "nesterov": false,
        "no_prox": false,
        "optim_bits": null,
        "percentile_clipping": null,
        "r": null,
        "relative_step": false,
        "safeguard_warmup": false,
        "scale_parameter": false,
        "stochastic_rounding": false,
        "use_bias_correction": false,
        "use_triton": false,
        "warmup_init": false,
        "weight_decay": 0.01,
        "weight_lr_power": null,
        "decoupled_decay": false,
        "fixed_decay": false,
        "rectify": false,
        "degenerated_to_sgd": false,
        "k": null,
        "xi": null,
        "n_sma_threshold": null,
        "ams_bound": false,
        "adanorm": false,
        "adam_debias": false,
        "slice_p": null,
        "cautious": false,
        "weight_decay_by_lr": true,
        "prodigy_steps": null,
        "use_speed": false,
        "split_groups": true,
        "split_groups_mean": true,
        "factored": true,
        "factored_fp32": true,
        "use_stableadamw": true,
        "use_cautious": false,
        "use_grams": false,
        "use_adopt": false,
        "d_limiter": true,
        "use_schedulefree": true,
        "use_orthograd": false,
        "nnmf_factor": false,
        "orthogonal_gradient": false,
        "use_atan2": false,
        "use_AdEMAMix": false,
        "beta3_ema": null,
        "alpha_grad": null,
        "beta1_warmup": null,
        "min_beta1": null,
        "Simplified_AdEMAMix": false,
        "kourkoutas_beta": false,
        "schedulefree_c": null,
        "ns_steps": null,
        "MuonWithAuxAdam": false,
        "muon_hidden_layers": null,
        "muon_adam_regex": false,
        "muon_adam_lr": null,
        "muon_te1_adam_lr": null,
        "muon_te2_adam_lr": null,
        "muon_adam_config": {},
        "rms_rescaling": true,
        "normuon_variant": false,
        "beta2_normuon": null,
        "low_rank_ortho": false,
        "ortho_rank": null,
        "accelerated_ns": false,
        "cautious_wd": false,
        "approx_mars": false,
        "auto_kappa_p": false,
        "compile": false
    },
    "optimizer_defaults": {},
    "sample_definition_file_name": "training_samples/samples.json",
    "samples": [
        {
            "__version": 0,
            "enabled": true,
            "prompt": "vkstckrs, woman with blue eyes and black hair",
            "negative_prompt": "",
            "height": 512,
            "width": 512,
            "frames": 1,
            "length": 10.0,
            "seed": 42,
            "random_seed": false,
            "diffusion_steps": 30,
            "cfg_scale": 7.5,
            "noise_scheduler": "EULER_A",
            "text_encoder_1_layer_skip": 0,
            "text_encoder_1_sequence_length": null,
            "text_encoder_2_layer_skip": 0,
            "text_encoder_2_sequence_length": null,
            "text_encoder_3_layer_skip": 0,
            "text_encoder_4_layer_skip": 0,
            "transformer_attention_mask": false,
            "force_last_timestep": false,
            "sample_inpainting": false,
            "base_image_path": "",
            "mask_image_path": ""
        }
    ],
    "sample_after": 100,
    "sample_after_unit": "STEP",
    "sample_skip_first": 0,
    "sample_image_format": "JPG",
    "sample_video_format": "MP4",
    "sample_audio_format": "MP3",
    "samples_to_tensorboard": true,
    "non_ema_sampling": true,
    "backup_after": 10,
    "backup_after_unit": "MINUTE",
    "rolling_backup": false,
    "rolling_backup_count": 3,
    "backup_before_save": true,
    "save_every": 100,
    "save_every_unit": "STEP",
    "save_skip_first": 0,
    "save_filename_prefix": ""
}
После старта обучения скачивание моделей может занять время, шкала обновляется не сразу
После старта обучения скачивание моделей может занять время, шкала обновляется не сразу

Обучение

Обучение шло ~3 итерации в секунду первые 12 эпох, дальше упало до 1,5 секунд на итерацию. Потом обучение то ускорялось до нескольких итераций в секунду, то замедлялось до пары секунд на итерацию.

Скорость менялась непосредственно в процессе. Для такого эксперимента это не представляло проблемы: модель и весь датасет достаточно лёгкие, поэтому полное обучение всё равно занимало приемлемое время.

Программа занимала ~20 гигабайт оперативной памяти и ~3 гигабайта видеопамяти
Программа занимала ~20 гигабайт оперативной памяти и ~3 гигабайта видеопамяти

На 400 шагах сэмпл дал первые признаки обучения и смещения к целевому стилю. После 1700 шагов стилевая разница между сэмплами стала неочевидной. На 2500 было принято остановить обучение.

Решение об остановке принималось не только по значению loss. Для генеративных моделей уменьшение loss само по себе не означает, что более поздний чекпоинт будет визуально лучше. Гораздо важнее отслеживать промежуточные изображения и смотреть, продолжает ли модель осваивать стиль или уже начинает чрезмерно закреплять признаки небольшого датасета.

В данном случае после определённого момента качественные изменения стали минимальными. Дальнейшее обучение могло увеличить вероятность переобучения, но не давало очевидного визуального выигрыша.

Первые результаты ещё похожи на обычные генерации базовой SD 1.5, затем влияние обучаемой LoRA становится заметнее
Первые результаты ещё похожи на обычные генерации базовой SD 1.5, затем влияние обучаемой LoRA становится заметнее

На графике и сэмплах можно проследить, как постепенно усиливаются основные признаки: упрощённая форма, мультяшность, выраженный контур и более близкая к стикерам композиция.

Подготовка к инференсу

После обучения нужно было подготовить workflow, в котором можно быстро включать и выключать LoRA, менять её силу и сравнивать результат с базовой моделью.

Базовый SD1.5 workflow от ComfyUI был доработан: добавлен блок загрузки LoRA и ее CLIP (текстового энкодера, который теперь знает уникальный триггер и его значение), второй блок Ksampler для апскейлинга (hirez fix) и блоки «if else» для управления LoRA (вкл/выкл) и для управления апскейлингом. Блоки были сгруппированы по этапам процесса генерации.

Изнутри доработанный workflow может пугать своей сложностью неподготовленного пользователя
Изнутри доработанный workflow может пугать своей сложностью неподготовленного пользователя

Первый проход отвечает за основную композицию и содержание изображения. Второй KSampler работает уже на увеличенной версии и позволяет добавить детали, сохранив общую структуру исходной генерации.

Условные блоки нужны не только для удобства. Возможность отключить LoRA и повторить генерацию с тем же сидом позволяет наглядно увидеть именно её влияние, не смешивая его с обычной случайностью диффузионной модели.

Весь workflow был завернут в одну ноду, все важные параметры (промты, шаги, cfg, сила LoRA, переключатели условных блоков и так далее) были вынесены в эту ноду. Снаружи к ней были подключены удобные сторонние кастомные ноды для управления сидом генерации с возможностью быстро зафиксировать последний случайный сид для повторного прогона и для наглядного сравнения генераций до/после апскейлинга.

Такой user-friendly интерфейс выглядит гораздо понятнее и удобнее
Такой user‑friendly интерфейс выглядит гораздо понятнее и удобнее

Такой подход не меняет внутреннюю работу ComfyUI, но делает использование большого графа удобнее. Вместо перемещения между группами нод основные параметры собраны в одном месте. При этом сам workflow остаётся доступен для редактирования и дальнейшего расширения.

Выбор базовой модели для генерации

Чекпоинт, на котором проводилось обучение, для инференса не подходит — слишком сильные галлюцинации, много артефактов. На платформе CivitAI собраны десятки моделей, обученных на базе SD1.5. Некоторые имеют стилевые предпочтения, например, Mistoon Anime заточена под мультяшный стиль. Выбрал несколько самых популярных для теста.

Платформа существует со времен популяризации локального генеративного ИИ, модели на базе SD1.5 насчитывают миллионы скачиваний
Платформа существует со времен популяризации локального генеративного ИИ, модели на базе SD1.5 насчитывают миллионы скачиваний

Обучение на базовом чекпоинте полезно тем, что LoRA не привязывается к слишком специфическим особенностям одной производной модели. Но использовать этот же исходный чекпоинт для финальных генераций необязательно.

Производные модели могут лучше справляться с композицией, цветом, мультяшными персонажами и общей визуальной привлекательностью. Важно лишь проверить, насколько корректно обученная LoRA переносится на выбранный чекпоинт.

По тестам с одинаковым описанием мне больше понравился результат модели Dream Shaper.

Модель была дообучена сообществом с уклоном в реализм и общий объём знаний объектов, животных и анатомии
Модель была дообучена сообществом с уклоном в реализм и общий объём знаний объектов, животных и анатомии
Все модели, за исключением базовой SD1.5 (справа), дали сопоставимо хорошие результаты
Все модели, за исключением базовой SD1.5 (справа), дали сопоставимо хорошие результаты

Для сравнения использовались одинаковые или максимально близкие параметры, один prompt и один seed. Это позволило оценить различия между моделями, а не случайно выбрать особенно удачную генерацию.

В качестве базовой можно использовать любую модель в зависимости от ваших предпочтений и целей.

Dream Shaper оказалась наиболее подходящей для моих тестов, но это не универсальный выбор. Для более выраженного аниме‑стиля, плоской графики или другого типа персонажей другая модель может дать лучший результат.

Сэмплер и параметры генерации

Перебирать все существующие сэмплеры большого смысла нет. Достаточно знать, что для 2D иллюстрации лучше всего подходят Euler и Euler ancestral. Scheduler Karas также рекомендуется. Не менее популярный DPM++ 2M склонен ломать сложную анатомию и композицию, потому что быстро фиксирует их на ранних шагах, поэтому отдаем предпочтение именно Euler.

Выбор сэмплера не исправит плохой датасет или неудачно обученную LoRA, но может заметно повлиять на характер линий, степень вариативности и то, насколько рано в процессе генерации фиксируется композиция.

Euler ancestral дал достаточно живой и вариативный результат, что полезно при создании эмоциональных стикеров. Генерации не выглядели полностью одинаковыми, но сохраняли общий стиль.

При обучении мы не использовали описание стиля «vector illustration of a cartoon [subject]» чтобы модель связала стиль с нашим уникальным триггером «vkstckrs». Теперь же, во время генерации мы можем использовать и триггер, и описание для усиления эффекта.

Например, один только триггер позволяет проверить, что именно выучила LoRA. Дополнительное описание vector illustration of a cartoon направляет одновременно и базовую модель, и LoRA в нужную сторону, поэтому итоговый эффект становится выраженнее.

Настройки силы LoRA и CFG scale подбираются под конкретный шаблон промпта, базовую модель и общую задачу. В моем случае я пришел к силе LoRA 1.0 и CFG 10.0.

Слишком низкая сила LoRA оставляла результат близким к обычной генерации Dream Shaper. При чрезмерном увеличении силы изображение начинало терять анатомию и становилось грубее. Значение 1.0 оказалось подходящим для выбранного чекпоинта и шаблона описания.

CFG 10.0 также нельзя считать универсальной рекомендацией. При изменении модели, сэмплера, числа шагов или структуры prompt оптимальное значение может отличаться.

Тестирование стилевой LoRA

Ниже приведены генерации с одним промптом и сидом без и с включенной LoRA для оценки ее импакта на стиль генерации.

В каждой паре отличается только состояние LoRA. Это позволяет увидеть, какие признаки появились именно после её подключения.

На животных влияние LoRA проявляется особенно хорошо: изображения получают более выраженный контур, упрощённые формы и мультяшность, подходящую для отдельного стикера
На животных влияние LoRA проявляется особенно хорошо: изображения получают более выраженный контур, упрощённые формы и мультяшность, подходящую для отдельного стикера
При генерации людей общий визуальный язык становится значительно более согласованным: персонажи выглядят как элементы одного стикерпака, а не как независимые иллюстрации
При генерации людей общий визуальный язык становится значительно более согласованным: персонажи выглядят как элементы одного стикерпака, а не как независимые иллюстрации
С едой и понятными объектами LoRA также работает, хотя иногда пытается их антропоморфизировать, для стикеров это не обязательно является недостатком, поскольку глаза, эмоции и конечности часто являются частью подобного жанра
С едой и понятными объектами LoRA также работает, хотя иногда пытается их антропоморфизировать, для стикеров это не обязательно является недостатком, поскольку глаза, эмоции и конечности часто являются частью подобного жанра

Результаты показывают, что даже 30 разнообразных изображений оказалось достаточно для передачи основных признаков стиля. Модель не воспроизводит конкретный исходный стикер, а применяет усвоенные закономерности к новым субъектам.

Совмещение двух LoRA

Позже в workflow была добавлена поддержка еще одной LoRA. Теперь можно подключать сторонние LoRA персонажей из сообщества CivitAI. Это позволило получать консистентный образ в консистентном стиле. Для примера возьмем этого персонажа:

Джейн Портер, кадр из «Тарзана» 1999 студии Walt Disney Pictures
Джейн Портер, кадр из «Тарзана» 1999 студии Walt Disney Pictures

Стилевая LoRA отвечает за визуальную подачу, а вторая LoRA — за признаки конкретного персонажа. Их силы можно регулировать независимо, добиваясь нужного баланса между узнаваемостью и стилизацией.

Скачаем подходящую LoRA этого персонажа для SD1.5:

Несмотря на сильное визуальное отличие образа от оригинала на конкретных примерах в карточке модели, внутри себя она содержит достаточно знаний обобщенного образа персонажа для более точного воспроизведения в нашем workflow
Несмотря на сильное визуальное отличие образа от оригинала на конкретных примерах в карточке модели, внутри себя она содержит достаточно знаний обобщенного образа персонажа для более точного воспроизведения в нашем workflow

При подключении сторонних LoRA нужно учитывать, на какой базовой архитектуре и на каких чекпоинтах они обучались. В данном случае обе LoRA совместимы с SD 1.5, поэтому их можно использовать в одном workflow.

Workflow позволяет тонко настроить вторую LoRA отдельно. В итоге получаем возможность создавать заготовки для стикерпака, на которые остаётся добавить текст:

Четыре генерации с разными эмоциями: счастье, грусть, испуг и злость
Четыре генерации с разными эмоциями: счастье, грусть, испуг и злость

Здесь важно, что разные эмоции и ситуации сохраняют как основные черты персонажа, так и единый способ отрисовки. Отдельные генерации всё равно могут потребовать отбора, исправления или повторного запуска, но общий визуальный образ остаётся достаточно консистентным.

Можно взять любую готовую LoRA персонажа или обучить свою, интегрировать в workflow и создавать любые стикерпаки.

Этот же принцип применим не только к существующим героям. Можно обучить собственную LoRA на оригинальном персонаже, маскоте, живом человеке или другом визуальном образе и использовать стилевую модель для производства целой серии.

А что с frontier моделями крупных студий?

Протестируем Nano banana 2 (Gemini) и ChatGPT Images 2.0 в тех же задачах копирования стиля и адаптации персонажа.

Цель сравнения — не устроить полноценный бенчмарк. У закрытых моделей неизвестная архитектура, другое количество параметров и принципиально иной интерфейс. Но интересно проверить, насколько хорошо популярные для таких задач инструменты выполняют ту же практическую задачу без отдельного обучения.

Попытка Gemini повторить нужный стиль на основе четырех примеров
Попытка Gemini повторить нужный стиль на основе четырех примеров
Попытка ChatGPT в аналогичных условиях
Попытка ChatGPT в аналогичных условиях

На мой взгляд стиль получается не на 100%, а общее качество выглядит слишком высоким для стикеров, нарисованных художником на условном графическом планшете. Но в целом обе модели хорошо понимают стиль мультяшной векторной графики.

Закрытые модели создают более чистые, детализированные и технически качественные изображения. Однако это же качество может мешать, если целью является имитация более простой ручной графики. Результаты начинают выглядеть скорее как профессиональная векторная иллюстрация, чем как обычный пользовательский стикерпак.

Задачу использования стороннего персонажа они тоже решают, но, если речь идет о персонажах, защищенных авторским правом, у моделей срабатывает внутренний фильтр. В случае с Джейн Портер обе модели смогли создать требуемые стикеры, причем ChatGPT использовал две попытки и уточнил стиль второй генерацией.

Первая попытка показала, что общее направление было понято правильно, но визуальная подача ещё отличалась от нужного стиля
Первая попытка показала, что общее направление было понято правильно, но визуальная подача ещё отличалась от нужного стиля
Порадовало, что модель сама поняла ошибку, и после уточнения результат стал ближе к поставленной задаче
Порадовало, что модель сама поняла ошибку, и после уточнения результат стал ближе к поставленной задаче
Gemini также сохранила узнаваемые признаки персонажа (хоть и потеряла галстук) и правильно интерпретировала запрос на мультяшную стикерную графику
Gemini также сохранила узнаваемые признаки персонажа (хоть и потеряла галстук) и правильно интерпретировала запрос на мультяшную стикерную графику

Обе модели дали хороший результат, пригодный для использования. Отмечу, что я не ставил целью доказать превосходство локального ИИ над передовыми моделями. Но как показали результаты, локальная модель до 1 млрд параметров в отдельных задачах способна соревноваться с закрытыми моделями на сотни миллиардов параметров.

При этом сравнение нельзя сводить только к визуальному качеству одного изображения. У локальной модели другой сценарий использования: её можно тонко настроить, встроить в собственный workflow, объединить с другими LoRA и запускать многократно с полностью контролируемыми параметрами.

Где это полезно? Каков итог?

Речь не о разовой генерации своей внешности в стиле стикера ради интереса или развлечения. Такая тонко настроенная легкая локальная модель в первую очередь предназначается для автоматизации производства контента с сохранением консистентного стиля. Исключается необходимость в использовании «сервисов из трех букв» для получения доступа к зарубежным нейросетям, в открытии виртуальных карт для оплаты подписок и API, в использовании интернета в целом, в аренде мощных серверов и в соблюдении лимитов или ограничений вариативности генераций.

После однократной подготовки датасета и обучения LoRA можно быстро создавать большое количество изображений на локальном компьютере. Стиль не нужно заново описывать и уточнять для каждой генерации: он уже закреплён в весах и активируется уникальным триггером.

Практический смысл особенно заметен в задачах, где нужно выпускать серии изображений:

  • создавать стикеры одного персонажа с разными эмоциями;

  • производить контент для сообщества;

  • поддерживать визуальный стиль маскота;

  • готовить реакции для чат‑бота;

  • генерировать однотипные иллюстрации для интерфейса.

При этом SD 1.5 остаётся старой моделью со своими ограничениями. Она может ошибаться в сложных позах, жестах, взаимодействиях объектов и анатомии. LoRA не устраняет эти недостатки, поскольку отвечает прежде всего за обученные признаки стиля. Для сложных сцен всё равно потребуются отбор, повторные генерации, inpainting или ручная доработка.

Главный результат эксперимента заключается в том, что небольшой датасет из 30 тщательно отобранных изображений оказался достаточным для обучения узнаваемой стилевой LoRA. За счёт разнообразия персонажей модель не закрепилась на одном герое, а за счёт разметки содержимого связала общую визуальную подачу с токеном «vkstckrs».

Дополнительное подключение персонажной LoRA показало, что SD 1.5 может одновременно удерживать и визуальную идентичность героя, и заданный стиль. В результате получается управляемый локальный инструмент, пригодный не только для единичных экспериментов, но и для автоматизации серийной генерации.

Всем добра!

Источник

  • 15.06.26 12:49 Jason

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    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

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  • 15.06.26 16:41 Louane Mercier

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  • 15.06.26 16:48 Olivia Sørensen

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  • 16.06.26 11:40 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.06.26 11:43 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.06.26 13:37 Felix Steve

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  • 20.06.26 14:57 michaeldavenport218

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  • 20.06.26 14:57 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 21.06.26 11:09 Maurizio Rolland

    I would like to express my sincere appreciation to RESQPRO FIRM for their outstanding assistance in helping victims of online fraud. Many scammers deceive investors by blocking withdrawals and continuously demanding additional deposits, making the loss of hard-earned funds a painful experience. Fortunately, RESQPRO FIRM provides support to individuals seeking to recover funds lost to fraudulent online schemes. Contact: Email: RESQPRO FIRM at Gmail Telegram: RESQPROFIRM, [email protected], WhatsApp: +1 985 296 9146

  • 21.06.26 11:13 Buse Fahri

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  • 21.06.26 11:16 علیرضا گلشن

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  • 22.06.26 21:51 kimberlyhebert786

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  • 22.06.26 21:51 kimberlyhebert786

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  • 24.06.26 01:25 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +1603512144 8| Telegram: @Fundsretriever

  • 24.06.26 01:27 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever

  • 24.06.26 01:28 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever.

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 14:16 Universina da Mota

    Becoming a victim of an investment scam is never anyone's intention it often happens because fraudsters exploit trust and a lack of awareness. I would like to express my sincere gratitude to the dedicated team at ResQpro for their professionalism and commitment to helping victims of online investment fraud. Their efforts in assisting individuals with the recovery of stolen assets and holding scammers accountable are truly commendable. If you need assistance or would like to learn more, you can contact them through: Email: [email protected] Alternative Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 14:21 Elizabeth Thompson

    If you believe you have been the victim of an investment scam, it is important to act promptly and gather all relevant information. Keep records of transaction receipts, wallet addresses, communication logs, account details, and any other evidence related to the incident. Providing accurate documentation can help investigators, financial institutions, legal professionals, or recovery specialists review your case and determine what options may be available. Be cautious of anyone who guarantees the recovery of lost funds or requests large upfront payments. For additional information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 15:33 Júlia Castro

    If you have fallen victim to an investment scam, it is important to act quickly and gather all available evidence related to the incident. This may include transaction records, wallet addresses, screenshots of conversations, emails, account details, and any information connected to the individuals or entities involved. Having complete documentation can help professionals assess your situation and explore possible recovery options. Always exercise caution when seeking assistance and carefully verify the credentials of any service provider before proceeding. For further information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 25.06.26 21:13 Emilie Safi

    A fraudulent investment scheme operated by BTCMining.limited functions as a fake return scam. In this setup, scammers lure victims with false promises of high returns. Through manipulative tactics, they gain individuals' trust and convince them to invest, ultimately leading to financial loss. If you have ever faced a cyber threat or fallen victim to an online crypto scam and need to reach the authorities, I recommend contacting [email protected], [email protected], WhatsApp +19852969146, telegram @resqprofirm. They are a legitimate team that helps victims of online crypto scams using advanced tools.

  • 25.06.26 21:25 Emilie Safi

    So I ended up losing $38,000 to this platform. At first, they kept asking me to put in more money so I could get into my portfolio. I did that, but then they wouldn’t let me withdraw anything—just kept asking for more deposits. It got way too suspicious, so I stopped. I found this company called ResQProfirm on Google and told them what happened. They got in touch, asked me to walk them through everything, and I gave them all the proof I had. They did an amazing job tracking down my money and getting it back. Big thanks to them at [email protected] and on WhatsApp at +19852969146. Please be careful out there and always research before investing.

  • 26.06.26 01:04 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 26.06.26 01:04 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 26.06.26 02:48 Miriam Rocha

    I trusted this platform with $120,000 of my hard-earned money. Then they started asking for more deposits just so I could access my own portfolio. I paid, but every withdrawal request was denied. They kept pushing for more money. I finally stopped it just felt wrong. Desperate, I found ResQProfirm on Google. They didn't just hear me out; they truly listened. I shared all my proof, and they launched an investigation. Thanks to their hard work, they tracked and returned my funds. From the bottom of my heart, thank you to [email protected] and their WhatsApp +19852969146. Please stay safe and always verify a platform before investing

  • 26.06.26 02:52 Miško Bakić

    I got my $232,000 refund thanks to [email protected] and WhatsApp +19852969146. Highly recommended for anyone in a similar situation.

  • 26.06.26 02:56 Asunción Herrera

    A recovery of $48,330 was facilitated by [email protected]. Individuals who have experienced financial fraud may consider contacting this service.

  • 26.06.26 15:05 Riley Stephens

    If withdrawals keep getting denied, stay calm. I went through the same, and this firm helped me recover everything. Their assistance was outstanding. Contact: [ResQProFirm @Gmail|•|com], Telegram: ResQprofirm, WhatsApp: <+198> <5296> <9146>.

  • 26.06.26 15:09 Antonio Riley

    Withdrawal troubles shouldn’t stress you out. I faced a similar problem, and this firm stepped in and recovered my funds. Their support truly mattered. Contact them: [[email protected], ResQprofirm @aol.com], Telegram: ResQprofirm, WhatsApp: +19852969146.

  • 28.06.26 00:37 kimberlyhebertt673

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 28.06.26 00:37 kimberlyhebertt673

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 29.06.26 11:57 Lisadonato0726

    For 43 years, I struggled with bad credit due to my own poor decisions, and my credit score was around 490. When my girlfriend and I decided to buy a house, a mortgage broker informed us that it would be impossible to secure a mortgage with my credit score. As a result, she referred me to a company called HACK MAVENS CREDIT SPECIALIST, assuring me of their professionalism and ability to assist with credit improvement. Upon contacting them, I was impressed by their professionalism and they assured me that they could help. In less than 6 days, my credit score skyrocketed to 785, and they also successfully resolved issues in my credit report, including the bankruptcy. I am incredibly satisfied with their service and would highly recommend HACK MAVENS CREDIT SPECIALIST for reliable credit repairs. You can reach them at H A C K M A V E N S 5 [AT] G M A I L [DOT] COM or at [+] [1] [2 0 9] [4 1 7] – [1 9 5 7]. Thanks to their help, my girlfriend and I are now proud homeowners.

  • 29.06.26 22:37 riley777

    Back in 2025, I watched my life savings vanish. A thief took every cent. I felt desperate and went looking for a way to get it back. I found a guy here who said he was an expert haha. He talked about special software that could find my missing cash. I trusted him. That was a big mistake. He was just another scammer. I paid him a software fee and then he just stopped answering my texts and ran off with my money too. I felt so ashamed that I kept quiet about it for months. It is hard to admit you got fooled twice. Later on, I found a real pro. she did not use a fancy sales pitch. she just looked at the trans screenshots and followed the path the money took. she worked fast and got my funds back into my account. Having that money back changed everything. I can sleep again. her info; [email protected]. Call/chatroom on Whtasapp/ +44 7476618364.

  • 30.06.26 15:08 wendytaylor015

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  • 30.06.26 15:08 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 02.07.26 01:22 Lieneke Bonnema

    I highly recommend ResQprofirm for their professional asset recovery services of my $120,000 scammed funds. Their expertise, professionalism, and commitment to achieving results make them a reliable choice for anyone seeking dependable recovery assistance. [email protected], WhatsApp +19852969146, telegram @resqprofirm

  • 02.07.26 01:26 Clara Morin

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  • 04.07.26 15:32 Fraddy Pual

    There are few companies I trust as much as FUNDSRETRIEVER. When I lost $653,000 in Ethereum to a ruthless scam, I thought my life would never be the same. The betrayal cut deep, but I refused to give up. I searched tirelessly for a legitimate way to recover what was stolen, and finally found FUNDSRETRIEVER—the most competent and compassionate recovery team I could have imagined. They handled my case with precision and care, and in the end, my entire ETH wallet was restored. More than the money, they gave me back my hope and happiness. I'm sharing my story because I want others to know that recovery is possible. If a scam has taken from you, don't hesitate—contact FUNDSRETRIEVER today. Email: FUNDSRETRIEVER1@ Gmail.com | WhatsApp: +1 603-512-1448 | Telegram: @FUNDSRETRIEVER

  • 05.07.26 14:44 lydiassmith567

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  • 05.07.26 14:44 lydiassmith567

    HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/Text: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 06.07.26 16:20 Olga Ognjanović

    Having trouble withdrawing funds from an investment platform? ResQprofirm provides fund recovery assistance for individuals seeking help with investment-related disputes. I reached out to them after experiencing problems with an investment platform, and I appreciated their professionalism and support throughout the process. If you're facing a similar situation, act promptly, keep records of your transactions and communications, and seek assistance from a qualified recovery service or the appropriate authorities. Contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 985 296 9146

  • 06.07.26 16:31 Joseph Weigl

    Invest wisely and stay cautious. Don't be influenced by promises of unusually high returns or convincing sales pitches from brokers. I learned this the hard way after falling victim to an investment scam that promised huge profits. Fortunately, I acted quickly and reported the incident to a recovery firm for assistance. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146

  • 06.07.26 16:33 Jaran Løvlien

    A heartfelt thank you to RESQPRO FIRM for their commitment and professionalism throughout the investigation of my case. Their team worked diligently and helped recover assets valued at $88,000, which were returned to my wallet. I truly appreciate their support, clear communication, and dedication, and I'm grateful for the assistance I received. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146

  • 07.07.26 18:00 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 07.07.26 18:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 09.07.26 19:06 Toivo Walli

    I lost 8.56btc to a fake Bitcoin mining site, I tried withdrawing but couldn't approved my process, I reported to !R£SQPROFIRM! via °R£SQproFirm°àt°gmail•com° °tEL£°gram=R£SQprofirm °whaT°Zap+198°52°96°91°46

  • 09.07.26 19:10 Misty Alexander

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  • 09.07.26 19:13 Clara Soto

    Anyone receiving continued requests for additional deposits from a scam platform should immediately cut off communication and submit the case to a reputable re­covery service for investigation. R£sQprofirm is a dependable firm you can reach at °ResQproFirm°àt°g,*ma'il(•)¢om°, TEL£gram ResQprofirm, or |whaTZap| +1-985-296-9146.

  • 12.07.26 03:30 Kora Baltacha

    Time is critical. Act now by reaching out to a reputable, seasoned recovery specialist who will guide you every step of the way. You'll need to submit transaction proof, scammer details, and any other useful information. Armed with this, the experts can trace and attempt to pull your money back from the scammers' hidden accounts or wallets. Best of all, R£sQprofirm provides recovery help without charging any upfront fees. Contact them immediately via Telegram @ResQprofirm, WhatsApp +19852969146, or email [email protected].

  • 12.07.26 03:33 Pahal Mathew

    It's important to move proactively by engaging an experienced recovery specialist. They will assist you throughout the process. To help them, provide: · Transaction evidence · Scammer information · Any additional relevant details The experts will then track and try to retrieve your funds from the scammers' hidden accounts or wallets. R£sQprofirm offers recovery assistance with no upfront fees. Contact: Telegram: @ResQprofirm WhatsApp: +19852969146 Email: [email protected]

  • 13.07.26 23:49 [email protected]

    One of the biggest concerns I have about cryptocurrency is the lack of regulation. It creates opportunities for scammers to invent convincing stories and fraudulent investment schemes. Unfortunately, some social media platforms continue to display these ads because they profit from them, even after users report them.I personally clicked on a Facebook advertisement for a company called Chickenfastmining and ended up losing more than $120,000 in a scam. I reported the ad, but nothing was done. Later, through a Reddit community, I found a recovery service called CYBERBERSPY that, in my personal experience, they helped me recover $110,000 of my lost funds. If you've been a victim of a cryptocurrency scam, don't lose hope. Explore your options carefully, and always verify the legitimacy of any recovery service before trusting them or paying any fees. Based on my own experience, CYBERBERSPY was helpful to me and i was able to recover my funds back, but I encourage everyone to do their own research before using any recovery service.i highly recommend: ([email protected])

  • 15.07.26 11:53 Sarah Green

    Thank you for showing that success is possible regardless of where someone starts. Your encouragement, valuable advice, and continuous support have inspired me throughout my $160,457k crypto investment recovery journey. I truly appreciate your kindness and dedication. Resqprofirm @gmail.com Telegram: Resqprofirm

  • 15.07.26 11:58 Lily Gagné

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  • 16.07.26 21:38 patricialovick86

    How To Recover Your Bitcoin Without Falling Victim To Scams: A  Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. Contact: [email protected]  You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.07.26 21:38 patricialovick86

    How To Recover Your Bitcoin Without Falling Victim To Scams: A  Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. Contact: [email protected]  You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 17.07.26 19:24 laimqq90

    I recommend Marie when it comes to recovering lost/stolen ust/bitcoin or any kind of cryptocurrencies' from fake investment platforms because they're well specialized in that area and you'll get your money back in full. I can boldly say this right now based on my prior deal i had with them; she was the only one who was able to recover my lost money $52,760 dollars back to my account, Only * ([email protected] and WhatsApp +1 7127594675 successful in recovering my money. They are the only one who can fully restore your lost funds to your account without any deductions, I really value their work and am recommending her to you today. THANK ME LATER

  • 17.07.26 20:12 martinsjude080

    Needs Online Fraud Help Contact Mighty Hacker Recovery https://mightyhackarrecovery.com I lost $292,900 in Bitcoin after investing with an online mining company. After realizing I had been scammed, I spent a long time searching for ways to recover my funds and contacted several services without success. During my research, I came across Mighty Hacker Recovery through Google and YouTube. What caught my attention was that they said they would not require any upfront payment before providing their recovery service. I decided to contact them to discuss my case and understand their process. Throughout the process, they kept me informed about the progress. After several days, I was asked to provide my Bitcoin wallet address, and my case was concluded. Their fee was handled after the service rather than being requested in advance. If you've been the victim of a cryptocurrency scam, it's important to do your own research, ask questions, and carefully evaluate any recovery service before proceeding. Every case is different, so take the time to verify information and understand the process before making any decisions. For Bitcoin scam recovery, cryptocurrency scam, crypto recovery service, recover stolen Bitcoin, Bitcoin fraud help, blockchain investigation, crypto wallet recovery, online investment scam, digital asset recovery, and crypto scam support. Contact Them on WhatsApp +1 (343) 947-3496 or [email protected] or [email protected] or https://mightyhackarrecovery.com Scam recovery Online fraud help Scam alert Report fraud Fraud investigation Fake website checker Scam checker Identity theft protection Consumer protection Chargeback for scam Wire transfer scam Tech support scam Employment scam Rental scam Shopping scam Email scam WhatsApp scam Telegram scam Facebook scam Instagram scam

  • 18.07.26 17:12 Malthe Larsen

    My experience with OKX has been deeply frustrating. For months, my account withdrawals were restricted with no explanation or resolution. Multiple emails to their support team were ignored, leaving me without answers or reassurance. This complete lack of communication shattered my trust. I ultimately regained access to my funds only through the help of a third-party recovery service, ResQProfirm. What should have been a reliable platform instead made me feel helpless and cut off from my own assets. [email protected], WhatsApp +19852969146, telegram @Resqprofirm

  • 18.07.26 17:42 پریا رضایی

    OKX has been a major disappointment. My withdrawals were restricted for months, and repeated attempts to contact support went unanswered. This silence destroyed my confidence in the platform. I was only able to recover my funds through a third-party service, ResQProfirm. I trusted OKX for its reliability, but the experience left me feeling trapped and helpless. Timely communication and access to one’s own money should be a basic standard. [email protected], WhatsApp +19852969146, telegram: ResQprofirm

  • 18.07.26 17:46 Adem Akışık

    I truly didn’t expect such an outstanding outcome. Recovering my $49,360 felt impossible at first, but ResQprofirm’s dedication and persistence made it happen. I hold their team in the highest regard. [email protected], WhatsApp +19852969146

  • 18.07.26 23:51 bernalzenaida

    WhatsApp https://wa.link/fhle97 Telegram https://msng.link/o?@techcyberforc=tg As cryptocurrency continues to reshape global finance, cybercriminals are finding new ways to exploit investors through scams, hacks, phishing attacks, fake investment platforms, and other forms of digital asset fraud. For many victims, knowing where to turn after a loss can be one of the biggest challenges. Techy Force Cyber Retrieval was founded with one clear mission: to give victims of crypto fraud a fighting chance through professional blockchain investigations and cybersecurity expertise. Our team brings together experienced blockchain analysts, digital forensic specialists, cybersecurity professionals, and legal partners who work collaboratively to investigate cryptocurrency-related crimes. Using advanced blockchain forensic tools and global investigative techniques, we analyze transaction histories, trace digital asset movements where possible, identify valuable investigative leads, and prepare evidence that may assist clients and the appropriate authorities. We believe blockchain should represent transparency, accountability, and trust—not fear. That’s why we’re committed to helping victims understand their options, navigate the investigative process, and take informed action after cryptocurrency fraud. Every case is different, and while no legitimate recovery service can promise a successful recovery, acting quickly and working with experienced professionals can improve the quality of an investigation. At Techy Force Cyber Retrieval, we do more than investigate digital crimes—we advocate for victims, pursue the facts, and help people regain confidence after cryptocurrency fraud. WhatsApp https://wa.link/fhle97 Telegram https://msng.link/o?@techcyberforc=tg Crypto fraud doesn’t have to be the end of the road. It’s where our investigation begins.

  • 19.07.26 04:10 Fraddy Pual

    I can't thank Fundsretriever enough for everything they did for me. My name is Vanessa Conway, and I'm here to tell you my story of how I recovered money I never thought I'd see again. A few months ago, I put a significant amount of money into what looked like a genuine online investment company. At first, it felt real—they showed me fake profits and convinced me to invest even more. But when I tried to cash out, they went quiet and started asking for extra fees. That's when it hit me—I had been scammed. I was heartbroken, frustrated, and didn't know where to turn. That money was my savings—months of hard work gone. Then I found Fundsretriever online. I reached out, hoping for a miracle. Right away, their team made me feel heard. They were responsive, knowledgeable, and walked me through everything. They didn't just take my case—they took it seriously and kept me in the loop every step of the way. I finally felt like I had real experts fighting for me. And guess what? They actually got my money back. It wasn't instant, and it took teamwork, but it happened. When I saw those funds returned, I cried with joy. I'm sharing this so that anyone else out there who's been scammed knows—don't lose hope. Do your research before investing, and stay far away from platforms that promise too much too fast. And if you've already been stung, don't wait—get professional help immediately. Thank you, Fundsretriever, from the bottom of my heart. You didn't just recover my money—you restored my faith. — Vanessa Conway 📧 [email protected] 📱 WhatsApp: +16035121448 💬 Telegram: @Fundsretriever

  • 19.07.26 19:53 kimberlyhebertt6877

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 19.07.26 19:53 kimberlyhebertt6877

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 19.07.26 19:54 kimberlyhebertt6877

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 30.07.26 00:04 Ahmed

    A really cool analysis, thank you. I was especially struck by how strictly the order is defined: data processing and formatting come first, with color only at the very end. This really saves you from the typical mistake of "first a pretty palette, then we figure out what the chart is for." And the palette validator with OKLCH + colorblindness check is absolutely fantastic; you almost never see that in regular tools. By the way, while reading about rank-trajectory and the logarithmic scale, I immediately remembered how convenient it is to analyze dynamics on charts in ExpertOption—I've been trading there for quite some time now. When the data is well visualized, decisions are noticeably easier and more relaxed. I also liked the point about "no more than eight colors" and the dual-axis ban. Strict restrictions sometimes actually produce better results than complete freedom. I'll try this approach myself.

  • 30.07.26 17:27 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 30.07.26 17:27 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 31.07.26 16:21 rssllhrnsb

    I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Doris Ashley, who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina
TEXT : (tatianasorina06 at G.Ma IL ..c 0 m ) Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.

  • 15:05 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15:05 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

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