Instructions to use Likalto4/Breast_unconditional_64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Likalto4/Breast_unconditional_64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Likalto4/Breast_unconditional_64", 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
Download diffusion_pytorch_model.bin from Likalto4/Breast_unconditional_64: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/Likalto4/Breast_unconditional_64/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Likalto4/Breast_unconditional_64/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Likalto4/Breast_unconditional_64/resolve/main/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- e9683bc20d643eafd15438bbd712916f3d40e61451f92951de3bd0535746c17a
- Size of remote file:
- 455 MB
- SHA256:
- 803559da99c3f9eb44353c91b07f8734964a89eb8edee15b4e661c811a5236d8
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