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
Download code/environment/test.yml from RobinY99/MR-IQA-2: direct link, hf CLI and curl.
- Browser
- Download file 118 Bytes
-
https://huggingface.co/RobinY99/MR-IQA-2/resolve/main/code/environment/test.yml
- Command line
-
hf download hf://RobinY99/MR-IQA-2/code/environment/test.yml
-
curl -L -o test.yml https://huggingface.co/RobinY99/MR-IQA-2/resolve/main/code/environment/test.yml
118 Bytes
| name: mr_iqa_release_test | |
| channels: | |
| - conda-forge | |
| dependencies: | |
| - python=3.12.13 | |
| - pip | |
| - setuptools | |
| - wheel | |