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
File size: 475 Bytes
d13a83d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # Validated FLUX.2 Editor runtime (Python 3.12.13, CUDA 13.0). # Install in its own environment; do not combine with actor-judge.txt. --extra-index-url https://download.pytorch.org/whl/cu130 torch==2.11.0+cu130 transformers==5.7.0 accelerate==1.14.0 diffusers @ git+https://github.com/huggingface/diffusers.git@208704a27a6f362b67cd1a04fa1db0b98036d26f fastapi==0.138.1 uvicorn==0.49.0 Pillow==12.2.0 requests==2.33.1 safetensors==0.8.0 sentencepiece==0.2.1 protobuf==7.35.1 |