Instructions to use Astroboy01/CT_Medxffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Astroboy01/CT_Medxffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Astroboy01/CT_Medxffusion", 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 unet/diffusion_pytorch_model.bin from Astroboy01/CT_Medxffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Astroboy01/CT_Medxffusion/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Astroboy01/CT_Medxffusion/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Astroboy01/CT_Medxffusion/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 28d752bd905ce5076a17313458a60e7b203ebf50d2a26fd6778688149464754e
- Size of remote file:
- 3.44 GB
- SHA256:
- c81137be111ee37a5bd16327a2bf8d7c84f8d65828ed90fdaee4ee83b3c3a85d
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