Instructions to use heye0507/LucidFusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use heye0507/LucidFusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("heye0507/LucidFusion", torch_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:
- 8066761a1cab245d639369e02e7b2ccf6ed022a95b51c5f60264605e79f0f370
- Size of remote file:
- 354 MB
- SHA256:
- 32f6676f9d8d8fd4f4d3d285c3eaa11a453b3320aca84c13ba6736b2be63673b
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