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 images_4.png from yeq6x/CN_SMPL_sd15_v2: direct link, hf CLI and curl.
- Browser
- Download file 1.26 MB
-
https://huggingface.co/yeq6x/CN_SMPL_sd15_v2/resolve/main/images_4.png
- Command line
-
hf download hf://yeq6x/CN_SMPL_sd15_v2/images_4.png
-
curl -L -o images_4.png https://huggingface.co/yeq6x/CN_SMPL_sd15_v2/resolve/main/images_4.png
1.26 MB

- Xet hash:
- e933cd244854ced738157973277c6dcc856e1818a6a1d51adb8916e7a78b12db
- Size of remote file:
- 1.26 MB
- SHA256:
- 800d0a80eebb08b2b14beea2ca487c92528c2a757e9336dce6f4aa2c66b5bf4d
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