Instructions to use Cooper/breakdomain-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cooper/breakdomain-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cooper/breakdomain-test", 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 Cooper/breakdomain-test: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Cooper/breakdomain-test/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Cooper/breakdomain-test/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Cooper/breakdomain-test/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 83a4c414eb19c2f0441408d7f4f8c6618a860ef8607e5f380e2db52000e3e8c8
- Size of remote file:
- 3.44 GB
- SHA256:
- 2e6258995bc96edf0832b0f0692d9f0285dc587ca1f51c6ff270c88ec3a0af1a
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