Support Mage-Flow (including Turbo & Edit) models
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- python
- Domain
- computer-vision, machine-learning
Research direction
Start with the Mage project page linked in the issue, then inspect DiffSynth-Studio’s existing model integrations to find the relevant entry points. Clarify how Mage-Flow’s standard, Turbo, and Edit models should be exposed and verify that all requested modes work before considering the support complete.
Written by the indexing model from the issue text.
Description
Project page https://microsoft.github.io/Mage/flow/
Quoted from https://www.reddit.com/r/LocalLLaMA/s/XvIpvGuZ1Y
Mage-Flow is a compact 4B-scale generative stack for efficient text-to-image generation and instruction-based image editing. Instead of scaling to tens of billions of parameters, Mage-Flow reaches state-of-the-art-competitive quality through careful tokenizer-backbone-system co-design, so it stays fast, memory-light, and easy to fine-tune under realistic compute budgets.
- Dominant language
- Python
- Stars
- 13.2k
- Forks
- 1.3k
- Avg merge
- 22h 15m
- Merged PRs (30d)
- 31
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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