This is stars and forks stats for /7eu7d7/HCP-Diffusion repository. As of 25 Apr, 2024 this repository has 738 stars and 56 forks.
HCP-Diffusion 📘ä¸æ–‡è¯´æ˜Ž 📘English document 📘ä¸æ–‡æ–‡æ¡£ Introduction HCP-Diffusion is a toolbox for Stable Diffusion models based on 🤗 Diffusers. It facilitates flexiable configurations and component support for training, in comparison with webui and sd-scripts. This toolbox supports Colossal-AI, which can significantly reduce GPU memory usage. HCP-Diffusion can unify existing training methods for text-to-image generation (e.g., Prompt-tuning, Textual Inversion, DreamArtist, Fine-tuning, DreamBooth, LoRA, ControlNet,...
HCP-Diffusion 📘ä¸æ–‡è¯´æ˜Ž 📘English document 📘ä¸æ–‡æ–‡æ¡£ Introduction HCP-Diffusion is a toolbox for Stable Diffusion models based on 🤗 Diffusers. It facilitates flexiable configurations and component support for training, in comparison with webui and sd-scripts. This toolbox supports Colossal-AI, which can significantly reduce GPU memory usage. HCP-Diffusion can unify existing training methods for text-to-image generation (e.g., Prompt-tuning, Textual Inversion, DreamArtist, Fine-tuning, DreamBooth, LoRA, ControlNet,...
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