Instructions to use dg845/unidiffuser-diffusers-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/unidiffuser-diffusers-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("dg845/unidiffuser-diffusers-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 image_encoder/pytorch_model.bin from dg845/unidiffuser-diffusers-test: direct link, hf CLI and curl.
- Browser
- Download file 201 kB
-
https://huggingface.co/dg845/unidiffuser-diffusers-test/resolve/d3366fa95bafebebc42e8152aab3e6de89fcd5a8/image_encoder/pytorch_model.bin
- Command line
-
hf download hf://dg845/unidiffuser-diffusers-test@d3366fa95bafebebc42e8152aab3e6de89fcd5a8/image_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dg845/unidiffuser-diffusers-test/resolve/d3366fa95bafebebc42e8152aab3e6de89fcd5a8/image_encoder/pytorch_model.bin
201 kB
- Xet hash:
- ed457c56a19eb5f7308e5ba9c6c81785edc8bcc5383d9f8bafc82a43993e26ff
- Size of remote file:
- 201 kB
- SHA256:
- 217ebf83168efb58b9399b4dd0b0776af23c09ccd51bfd2d8d7720905addb7b9
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