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:
- 840e3f522aab34a8de5a96ec4a34af2edf145e4a037369bac041b54d9d089f5c
- Size of remote file:
- 4.27 GB
- SHA256:
- 4aa6bfa693d91f66bf01437b203d6a0a52af8dfd5b849f89b7a4edcde815e46c
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