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
Update README.md
Browse filesAdd basic model card.
README.md
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license: apache-2.0
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license: apache-2.0
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This checkpoint is a small testing version of the UniDiffuser-v0 model for 32 x 32 images, consisting of small random models for each of the components.
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Please reference the [model card]() for the full UniDiffuser-v0 checkpoint for information about the UniDiffuser model.
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