Instructions to use bugratest/modeltest2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bugratest/modeltest2 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/modeltest2", 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 bugratest/modeltest2: direct link, hf CLI and curl.
- Browser
- Download file 1.55 kB
-
https://huggingface.co/bugratest/modeltest2/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://bugratest/modeltest2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/bugratest/modeltest2/resolve/main/unet/diffusion_pytorch_model.bin
1.55 kB
- Xet hash:
- cf48257e63de643b9cf462d9c7106d7347ec15edf41767eba7f7cd48d084b2b9
- Size of remote file:
- 1.55 kB
- SHA256:
- 483e6ddc6dbbdc25301d9ae850d0c8465846717109b7248f9d6c134414db9f30
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