Instructions to use diffusers-test/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/test1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/test1", 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 vae/diffusion_pytorch_model.bin from diffusers-test/test1: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/diffusers-test/test1/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://diffusers-test/test1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/diffusers-test/test1/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 7bd5fd58145a6b1ad389824f8bce8dace3f495df88a890212041b7a0f90911dd
- Size of remote file:
- 167 MB
- SHA256:
- 9e76e6c560d6b9bb4903ada124dc5a0f9cb372b9ab37416924dfb29d3848183b
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