Instructions to use hyperalchemy/cat-face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hyperalchemy/cat-face with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hyperalchemy/cat-face", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cdaa603d3f083339571b56d009d7b8217413713c059be5204b616e354d576aea
- Size of remote file:
- 3.44 GB
- SHA256:
- 0bc87cc7e248958c4df4c9fdc460a2a51afb5c6671f9dfd048666a9257da3067
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