Instructions to use Owen777/flux.1-lite-8B-GRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Owen777/flux.1-lite-8B-GRPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Owen777/flux.1-lite-8B-GRPO", dtype=torch.bfloat16, device_map="cuda") prompt = "A studio portrait of a woman with bold makeup, highly detailed eyelashes, and glossy red lips, dramatic directional lighting creating high contrast shadows, perfect catchlights in the eyes, smooth skin texture without blemishes" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 67f8bfee01aa98a383355658b83f6275d0d347b2a6d63ec004dcfcc96eb1a153
- Size of remote file:
- 1.59 MB
- SHA256:
- aeb02ca479b910d5bc209a7ec6cceaa2e9592062cba860665bf900a01d8f066e
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