stable-diffusion-fine-tuning This project was completed as part of CSC413 at the University of Toronto. The training-scripts directory contains the code to train the fine-tuned models, with a subdirectory for each fine-tuning method. The fine-tuned models directory contains some of the final ou...
https://github.com/hpcaitech/ColossalAI/blob/main/README-zh-Hans.md 关键目录 微调 太乙 stable diffusion: ./finetune/finetune.py ./dk/finetune.sh 太乙stable diffusion 推理: ./finetune/predict.py 通用stable diffusion 微调 及 推理 程序: ./finetune/train_zh_model.py ./finetune/run_zh_...
stable diffusion finetuned on danbooru. Contribute to ChaosEngineered/waifu-diffusion development by creating an account on GitHub.
New stable diffusion finetune (Stable unCLIP 2.1, Hugging Face) at 768x768 resolution, based on SD2.1-768. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be ...
New stable diffusion finetune (Stable unCLIP 2.1, Hugging Face) at 768x768 resolution, based on SD2.1-768. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be ...
Github地址:github.com/CompVis/stab 模型下载地址: huggingface.co/CompVis/ huggingface.co/CompVis/ 整合包+模型下载 AI绘画软件Stable Diffusion+WebUI+Chilloutmix/ControlNet模型(一键安装包)支持WIN/MAC 02.Stable Diffusion的原理是什么? 图解Stable Diffusion AI模型最新展现出的图像生成能力远远超出人们的预期...
New stable diffusion finetune (Stable unCLIP 2.1, Hugging Face) at 768x768 resolution, based on SD2.1-768. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be combined...
1. 打开Stable Diffusion WebUI,进入"Extensions"选项卡。 2. 点击"Install from URL",注意"URL for extension's git repository"下方的输入框。 3. 粘贴或输入本Git仓库地址 github.com/VinsonLaro/s。 4. 点击下方的黄色按钮"Install",即可完成安装。然后重启WebUI(点击"Install from URL"左方的"Installed",...
--finetune_from models/ldm/stable-diffusion-v1/sd-v1-4-full-ema.ckpt- 从原始Stable Diffusion上进行微调 代码语言:javascript 复制 python main.py \-t \--base configs/stable-diffusion/pokemon.yaml \--gpus0,1\--scale_lr False \--num_nodes1\--check_val_every_n_epoch10\--finetune_from...
git clone https://github.com/lstein/stable-diffusion.git This will create stable-diffusion folder where you will follow the rest of the steps. Enter the newly-created stable-diffusion folder. From this step forward make sure that you are working in the stable-diffusion directory!