Instructions to use frozen2001/RFMSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use frozen2001/RFMSR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("frozen2001/RFMSR", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Create model card for RFMSR
#1
by nielsr HF Staff - opened
This PR creates a comprehensive model card for RFMSR (Residual Flow Matching for Image Super-Resolution). It includes:
- The
image-to-imagepipeline tag in the YAML metadata. - Links to the paper and the official GitHub repository.
- Setup and quickstart instructions for installation, downloading weights, and running inference.
- The BibTeX citation for the paper.
frozen2001 changed pull request status to merged
frozen2001 deleted the
refs/pr/1 ref