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
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README.md
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images = pipe(prompt, num_inference_steps=200, guidance_scale=6., eta=1.).images
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```
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images = pipe(prompt, num_inference_steps=200, guidance_scale=6., eta=1.).images
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```
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<center>
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<img src="https://huggingface.co/nupurkmr9/custom_diffusion_cat/resolve/main/cat.png" width="600" align="center" >
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</center>
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