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.fp16.bin from Cooper/breakdomain-test: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/Cooper/breakdomain-test/resolve/main/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Cooper/breakdomain-test/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Cooper/breakdomain-test/resolve/main/unet/diffusion_pytorch_model.fp16.bin
1.72 GB
- Xet hash:
- f1a7f850e91dcd16e7c773a034f432875c93ba888565149dbf3b2aa870f805d6
- Size of remote file:
- 1.72 GB
- SHA256:
- 20ad51f701141ce370b42e5062e184138c5f89863aa9f7b0bc91b574845abb62
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.