Instructions to use SidXXD/Clean-1_img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/Clean-1_img with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/Clean-1_img", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a sks cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/Clean-1_img: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/Clean-1_img/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/Clean-1_img/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/Clean-1_img/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 62bf22c55e047780770fa2dfcaa5711a7a44ee12ef1d92ab3c85f6cf9e5ca097
- Size of remote file:
- 76.7 MB
- SHA256:
- b776679672880bd2ef55de40c4285baac0903e8dcd0b517235e22cc7a9c9ce96
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