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
- Xet hash:
- 6a8f61b5dd5199fbfd39dcefc3e08b985c1c224cc9413f2d96bd2b5a76439860
- Size of remote file:
- 206 kB
- SHA256:
- c37c257554416ac1216857504ee74091e6325a19b98e4fb8d79b13958097c94a
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