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
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A hyper-realistic close-up portrait of an elegant woman with dewy skin and subtle freckles, soft golden hour backlighting illuminating every pore, her hair gently tousled by a breeze, crisp focus on her expressive green eyes and glossy lips, ultra-high resolution, cinematic depth of field
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url: examples/0_checkpoint-200-0.png
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A sharply detailed full-body shot of a male dancer mid-leap against a minimalist concrete backdrop, muscles and sweat droplets rendered with photorealistic clarity, dramatic side lighting creating bold shadows, sense of motion frozen in time, 8K resolution
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A sharply detailed full-body shot of a male dancer mid-leap against a minimalist concrete backdrop, muscles and sweat droplets rendered with photorealistic clarity, dramatic side lighting creating bold shadows, sense of motion frozen in time, 8K resolution
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