Instructions to use raman07/CheXGenBench-Models-Sana-e20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raman07/CheXGenBench-Models-Sana-e20 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raman07/CheXGenBench-Models-Sana-e20", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download transformer/diffusion_pytorch_model.safetensors from raman07/CheXGenBench-Models-Sana-e20: direct link, hf CLI and curl.
- Browser
- Download file 2.37 GB
-
https://huggingface.co/raman07/CheXGenBench-Models-Sana-e20/resolve/main/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://raman07/CheXGenBench-Models-Sana-e20/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/raman07/CheXGenBench-Models-Sana-e20/resolve/main/transformer/diffusion_pytorch_model.safetensors
2.37 GB
- Xet hash:
- e5ca1599bf728d47f0f22ed25cdecc13fe15e65eacf8ff66631d401e7fdd3d55
- Size of remote file:
- 2.37 GB
- SHA256:
- 68be7dec97d3807f4c40726643642d1cbc928a8d4d54fb86f7e3cb195b923fe9
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