Taiyi-Stable-Diffusion-1B-Anime-Chinese-v0.1

Taiyi-Stable-Diffusion-1B-Anime-Chinese-v0.1

IDEA-CCNL

First open-source Chinese Stable Diffusion anime model trained on 1M curated anime image-text pairs. Features Chinese text prompts, anime-style generation, and built-in upscaling capabilities. 1B parameters.

PropertyValue
Model Size1B parameters
LicenseCreativeML OpenRAIL-M
Training Data1M filtered Chinese anime image-text pairs
PaperResearch Paper

What is Taiyi-Stable-Diffusion-1B-Anime-Chinese-v0.1?

This groundbreaking model represents the first open-source Chinese Stable Diffusion model specifically designed for anime-style image generation. Developed by IDEA-CCNL, it was trained on a carefully curated dataset of 1 million Chinese anime image-text pairs, with an additional refinement using 10,000 high-quality samples.

Implementation Details

The model was trained in two stages using 4 A100 GPUs over approximately 100 hours. It supports both text-to-image generation and image-to-image transformation, with built-in support for super-resolution scaling through R-ESRGAN 4x+ Anime6B integration.

  • Supports Chinese text prompts for image generation
  • Includes built-in upscaling capabilities
  • Compatible with popular WebUI interfaces
  • Optimized for anime-style artwork generation

Core Capabilities

  • High-quality anime character generation
  • Landscape and scene creation
  • Style transfer and image manipulation
  • Support for both indoor and outdoor scenes
  • Detailed control over character attributes and environmental elements

Frequently Asked Questions

Q: What makes this model unique?

It's the first open-source Chinese Stable Diffusion model specifically trained for anime-style image generation, offering native support for Chinese language prompts and specialized anime aesthetics.

Q: What are the recommended use cases?

The model excels at generating anime-style character illustrations, scenic backgrounds, and creative artwork based on Chinese text prompts. It's particularly effective for creating character portraits, environmental scenes, and stylized anime compositions.

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