Instructions to use nroggendorff/cats with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nroggendorff/cats with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nroggendorff/cats", 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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- The model does not achieve perfect photorealism
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- The model cannot render legible text
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- The model was trained on a medium-to-large-scale dataset: [
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### Developed by
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- Noa Linden Roggendorff
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- The model does not achieve perfect photorealism
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- The model cannot render legible text
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- The model was trained on a medium-to-large-scale dataset: [huggan/few-shot-cat](https://huggingface.co/datasets/huggan/few-shot-cat)
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### Developed by
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- Noa Linden Roggendorff
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