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:
- 9b9ce735f29e45b89312942c5496f1fdbf491244d4a13e9a99d2a6a37869af3f
- Size of remote file:
- 1.35 MB
- SHA256:
- 8a5acec0e9bcac821f7c9aaf1df1de7a3ed26bd295f7229d7fd976461e49cd26
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