Instructions to use NagaSaiAbhinay/Flux-SRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NagaSaiAbhinay/Flux-SRPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NagaSaiAbhinay/Flux-SRPO", 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
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Check out the documentation for more information.
Use it with diffusers as FluxPipeline.from_pretrained('NagaSaiAbhinay/Flux-SRPO', torch_dtype=torch.bfloat16). The weights are from https://huggingface.co/tencent/SRPO/tree/main but in a format that makes it easy to load with diffusers.
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