Instructions to use hulefei/test-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hulefei/test-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("hulefei/test-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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 67e024da6f7ea053b3a61fb07fe917b87496a88151cc31320b60399823ef7059
- Size of remote file:
- 3.44 GB
- SHA256:
- cc6a6493e2100c98aff870d4eecdeff085f9c8448ddc8f425bd3dc1c8dc9dfad
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