Instructions to use custom-diffusion-library/cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use custom-diffusion-library/cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("custom-diffusion-library/cat", 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
Upload custom_diffusion_cat.bin
Browse files- custom_diffusion_cat.bin +3 -0
custom_diffusion_cat.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:08754e711b9ecaa36785dc64ad0c08317a93d106629c5f42cc5b9a406fe4aefc
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