Instructions to use byliutao/Longcat-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use byliutao/Longcat-Image-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("byliutao/Longcat-Image-Turbo", 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:
- fd2f005fa7ef8173e4286f5e28ec9eb8590a8ee07e2dbf4aa3e33f0ab3b7286e
- Size of remote file:
- 6.33 MB
- SHA256:
- 081439e6975cbd310a5659251472ee70a26b894fbb65333f2de44194aa973b6b
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