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
- Draw Things
- DiffusionBee
Add gallery examples (200-step prompts 0-9)
Browse files- .gitattributes +1 -0
- examples/5_checkpoint-200-0.png +3 -0
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Git LFS Details
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