huggingface/diffusers

Add SUPIR Upscaler

Open

#7,219 opened on Mar 5, 2024

View on GitHub
 (36 comments) (14 reactions) (0 assignees)Python (4,562 forks)batch import
New pipeline/modelcontributions-welcomehelp wanted

Repository metrics

Stars
 (22,190 stars)
PR merge metrics
 (Avg merge 14d 10h) (101 merged PRs in 30d)

Description

Model/Pipeline/Scheduler description

SUPIR is a super-resolution model that looks like it produces excellent results

Github Repo: https://github.com/Fanghua-Yu/SUPIR

The model is quite memory intensive, so the optimisation features available in diffusers might be quite helpful in making this accessible to lower resource GPUs.

Open source status

  • The model implementation is available.
  • The model weights are available (Only relevant if addition is not a scheduler).

Provide useful links for the implementation

No response

Contributor guide

Research direction
Study the SUPIR paper and GitHub repository, then implement the model pipeline in diffusers using existing patterns like StableDiffusionUpscalePipeline.
Tech stack
pythonpytorch
Domain
machine learningcomputer vision
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20