Instructions to use rockerBOO/flux.1-dev-SRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rockerBOO/flux.1-dev-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("rockerBOO/flux.1-dev-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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## bf16 and BlackForestLabs (BFL) versions of SRPO from Tencent
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<div align="center" style="font-family: charter;">
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<h1 align="center">Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference </h1>
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## bf16 and BlackForestLabs (BFL) versions of SRPO from Tencent
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- BFL are in BlackForestLabs reference implementation
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- Otherwise it's in diffusers format
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<div align="center" style="font-family: charter;">
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<h1 align="center">Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference </h1>
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<div align="center">
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