Instructions to use bugratest/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bugratest/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("bugratest/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
Download diffusion_pytorch_model.bin from bugratest/test: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/bugratest/test/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://bugratest/test/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/bugratest/test/resolve/main/diffusion_pytorch_model.bin
1.06 kB
- Xet hash:
- 93bc7666a9ea06685fb1c18a360a24fdcec4a5063baa7e7b030a7a562c7bc638
- Size of remote file:
- 1.06 kB
- SHA256:
- 923077fa4e04c4c0f37f7fed676fff9bef8bbde0a3261c1fcad8f881b952a067
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