Instructions to use rockerBOO/flux.1-dev-SRPO-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rockerBOO/flux.1-dev-SRPO-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rockerBOO/flux.1-dev-SRPO-LoRA") prompt = "She is in modern street wear in a city along a bridge at sunset." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Create README.md
Browse files
README.md
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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library_name: diffusers
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license: other
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license_name: tencent-hunyuan-community
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license_link: https://github.com/Tencent-Hunyuan/SRPO/blob/main/LICENSE.txt
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pipeline_tag: text-to-image
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base_model: black-forest-labs/FLUX.1-dev
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---
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# SRPO R16 LoRA
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Extraction of SRPO from [Flux.1 SRPO ](https://huggingface.co/rockerBOO/flux.1-dev-SRPO)
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