Instructions to use hf-internal-testing/stable-diffusion-broken-variants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/stable-diffusion-broken-variants with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/stable-diffusion-broken-variants", 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 hf-internal-testing/stable-diffusion-broken-variants: direct link, hf CLI and curl.
- Browser
- Download file 5.83 MB
-
https://huggingface.co/hf-internal-testing/stable-diffusion-broken-variants/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/stable-diffusion-broken-variants/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/hf-internal-testing/stable-diffusion-broken-variants/resolve/main/unet/diffusion_pytorch_model.bin
5.83 MB
- Xet hash:
- c52e567881a7bea6e565f82bb46338f085c947178b38151cbf99bbc59d5d6da1
- Size of remote file:
- 5.83 MB
- SHA256:
- 310d008ebe83d315e131b6ba9f24a661a0a4d6ae9d32b1d53ca4df75ff8afb6b
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