README.md

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title: README
emoji: 📈
colorFrom: green
colorTo: red
sdk: static
pinned: false

VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning

[Paper]   [Project Page]   [Github]

[🤗 Online Demo]   [🤗 Dataset Card]

[🤗 Full Model Card (Diffusers)]   [🤗 LoRA Model Card (Diffusers)]

If you find VisualCloze is helpful, please consider to star ⭐ the Github Repo. Thanks!

📰 News

• [2025-6-26] 🚀🚀🚀 VisualCloze has been accepted by ICCV 2025.
• [2025-5-15] 🤗🤗🤗 VisualCloze has been merged into the official pipelines of diffusers. For usage guidance, please refer to the Full Model Card 384 and Full Model Card 512.
• [2025-5-18] 🥳🥳🥳 We have released the LoRA weights supporting diffusers at LoRA Model Card 384 and LoRA Model Card 512.

🌠 Key Features

An in-context learning based universal image generation framework.

1. Support various in-domain tasks.
2. Generalize to unseen tasks through in-context learning.
3. Unify multiple tasks into one step and generate both target image and intermediate results.
4. Support reverse-engineering a set of conditions from a target image.

🔥 Examples are shown in the project page.