huggingface / huggingface/diffusers

[Feature] Support Unipic 3.0 Pipeline

Open
#13,053 1 comment 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
34.5k
Forks
7.3k
Avg merge
3d 3h
Merged PRs (30d)
91

Description

**Is your feature request related to a problem? Please describe.**
Yes. Currently, there is no native pipeline in diffusers that supports Unified Multi-Image Conditioning as proposed in UniPic 3.0. https://huggingface.co/Skywork/Unipic3

**Describe the solution you'd like.**
I propose adding a UniPic 3.0–style pipeline to diffusers that natively supports multi-image, multi-type conditioning within a single diffusion forward pass.

**Describe alternatives you've considered.**
Extending existing pipelines: Results in model-specific hacks rather than a reusable abstraction. And it's difficult to maintain or generalize.

**Additional context.**
Add any other context or screenshots about the feature request here.

Contributor guide

Open the contributing guide

Research direction

Start by reviewing the UniPic 3.0 model page linked in the issue and the existing diffusers pipeline patterns. Define how multi-image, multi-type conditioning should work within one diffusion forward pass. Done means diffusers provides a native, reusable UniPic 3.0-style pipeline rather than model-specific extensions.

Written by the indexing model from the issue text.

Assessment

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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.