Instructions to use maxin-cn/Latte-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxin-cn/Latte-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maxin-cn/Latte-0", 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
- Xet hash:
- dff3e3fde89cb4cc262cc1cf743eaeaeab18a46a24f2480131b6c8c653cde826
- Size of remote file:
- 4.23 GB
- SHA256:
- c73e655f328370268ff92b168c517c7cf6147ca7d899751cf28d43a4e36c2881
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