Instructions to use fusing/ddpm-lsun-bedroom-ema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/ddpm-lsun-bedroom-ema with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/ddpm-lsun-bedroom-ema", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download diffusion_model.pt from fusing/ddpm-lsun-bedroom-ema: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/fusing/ddpm-lsun-bedroom-ema/resolve/main/diffusion_model.pt
- Command line
-
hf download hf://fusing/ddpm-lsun-bedroom-ema/diffusion_model.pt
-
curl -L -o diffusion_model.pt https://huggingface.co/fusing/ddpm-lsun-bedroom-ema/resolve/main/diffusion_model.pt
455 MB
- Xet hash:
- 3f6cdc30d8dde581b545cd75498e2988c7996c2cb109e9ca38599ae1fc36e69b
- Size of remote file:
- 455 MB
- SHA256:
- f24368dc2d36d7c08277d76654458ea3ca24b260bbbf48307fc745ea09112bb7
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