Reinforcement Learning
Diffusers
Safetensors
English
image-quality-assessment
vision-language
image-editing
Instructions to use RobinY99/MR-IQA-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobinY99/MR-IQA-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RobinY99/MR-IQA-2", 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
Commit History
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Document Actor-3 consistency release
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Add Actor-3 prompts and direct inference
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Add Actor-3 model weights
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Document Actor-2 as recommended
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Add recommended Actor-2 masked-credit checkpoint
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Thank MR-IQA-2 demo contributor
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Add paper citation to model card
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Keep model card logo inline
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Fix model card title alignment
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Update single-image inference and overview
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Add logo and runnable inference bundle
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Add single-image quick start
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Replace model card figure
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Add PLCC/SRCC performance table
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Add Actor-to-Editor example
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Publish Actor, Judge, and Editor model folders
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Publish MR-IQA-2 E5 release
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initial commit
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