Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use yeq6x/CN_SMPL_sd15_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yeq6x/CN_SMPL_sd15_v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("yeq6x/CN_SMPL_sd15_v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "yeq6x/v1-5-pruned_pls_SMPL_LoRA_sd1.5_v1.fp16", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusion_pytorch_model.safetensors from yeq6x/CN_SMPL_sd15_v2: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/yeq6x/CN_SMPL_sd15_v2/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://yeq6x/CN_SMPL_sd15_v2/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/yeq6x/CN_SMPL_sd15_v2/resolve/main/diffusion_pytorch_model.safetensors
1.45 GB
- Xet hash:
- edc5a2d4d636d3a1fc3a863d482ae47259ef8e57fa64de4006c469f2ec39db4b
- Size of remote file:
- 1.45 GB
- SHA256:
- fbacbdce5a5b8cc62ce5c5bd551ffa8fc4089b4678cab20b1c204ed06323748e
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