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", 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:
- b3bcef28d2b85277af62d8f122ca3bcd320a13c4a1d942929c4d68e9b8bf7136
- Size of remote file:
- 7.15 MB
- SHA256:
- 615765eeac5310179e88aa59f2e165b02f052c658921ab8228cf07ca78d5451e
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