Inpainting Pipeline

Open
#30 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
machine-learning

Research direction

Start by reading the referenced diffusers file, pipeline_flux_kontext_inpaint.py, and compare its extension approach with UniPic2's existing pipeline structure. The issue does not define a concrete implementation or acceptance criteria; done would require an agreed design for UniPic2 inpainting or documented guidance on adapting it.

Written by the indexing model from the issue text.

Description

Hi, thanks for the great work on UniPic2!

I'd like to ask it's possible (and planned) to implement an InpaintPipeline for UniPic2, similar to how FluxKontextInpaintPipeline (pipeline_flux_kontext_inpaint) extends FluxKontextPipeline in diffusers.
Or is there a recommended way to adapt UniPic2 for inpainting tasks?

Thanks in advance for any guidance!

Dominant language
Python
Stars
875
Forks
43
No merged PRs in 30d

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from SkyworkAI/UniPic

All issues in SkyworkAI/UniPic

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.