Text-to-Image
Diffusers
Safetensors
PEFT
image-to-image
image-editing
lora
reinforcement-learning
rubric-policy-optimization
auto-rubric
Instructions to use OpenEnvisionLab/Auto-Rubric-as-Reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OpenEnvisionLab/Auto-Rubric-as-Reward 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,Qwen/Qwen-Image-Edit", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("OpenEnvisionLab/Auto-Rubric-as-Reward") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - PEFT
How to use OpenEnvisionLab/Auto-Rubric-as-Reward with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
update paper link
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README.md
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# ARR-RPO
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[Project Page](https://openenvision.github.io/AutoRubric-as-Reward/) | [Code](https://github.com/OpenEnvision/AutoRubric-as-Reward) | [Paper](
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## Model Description
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# ARR-RPO
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[Project Page](https://openenvision.github.io/AutoRubric-as-Reward/) | [Code](https://github.com/OpenEnvision/AutoRubric-as-Reward) | [Paper](https://arxiv.org/abs/2605.08354v1) | [Model Weights](https://huggingface.co/OpenEnvisionLab/Auto-Rubric-as-Reward/)
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## Model Description
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