Instructions to use aixonlab/flux.1-lumiere-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aixonlab/flux.1-lumiere-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aixonlab/flux.1-lumiere-alpha", 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:
- 247cf5644a8d8ca7fb89e5f6b43a7903e4dc244999bcb2a0e29d2fd47ab8f936
- Size of remote file:
- 1.4 MB
- SHA256:
- cee660c6a9205af492561c2f9f76623155c691db706d7163785a82470d0b315e
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