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[ICCV 2025] 🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning

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Hi, thank you for your excellent work! I’m curious about the settings on DreamBench. Do all the images sampled by the comparison methods have a resolution of 1024x1024?

You have reimplemented the flux yourself, resulting in a complex application. Can you inherit from the flux classes in diffusers to make it easier to implement?

Hi! Thanks a lot for sharing this awesome work! I tried running the default evaluation code, but I noticed the results are a bit different from what’s shown in the...

您好,请问UNO-1M 数据集是否支持 multi-subject generation 的训练?如果不支持,是否有计划在未来支持?

In the "crystal_ball" and "figurine" demo, the details of the clothes of "figurine" cannot be maintained in the generated image. Is it possible to solve this problem by finetuning the...

too slow to download from huggingface, can you tut the dataset in modelscope? thanks!

The evaluation scores of the baselines and UNO is different when I use my evaluation code.

Thank you for your outstanding open source work,but I would be more appreciate if you release in-context data generation pipelines.

Thank you for your impressive work. How to support training on multiple GPU machines