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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
| Date | Stars |
|---|---|
| 2026-07-31 | 317 |
| 2026-08-02 | 317 |
| 2026-08-06 | 317 |
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# Subject-Diffusion (SIGGRAPH 2024) [[Project Page](https://oppo-mente-lab.github.io/subject_diffusion/)] [[Paper](https://arxiv.org/abs/2307.11410)]  ## Requirements A suitable [conda](https://conda.io/) environment named `subject-diffusion` can be created and activated with: ``` conda env create -f environment.yaml conda activate subject-diffusion ``` ## Data Prepare  First, you need install [GroundingDINO](https://github.com/IDEA-Research/GroundingDINO/). Then run: ```bash python data_process.py tar_path tar_index_begin tar_index_end output_path ``` The first parameter represents the data path of webdataset image text pair. The original data can be downloaded by [img2dataset](https://github.com/rom1504/img2dataset) command; The last two parameters represent the beginning and end of the index for webdataset data ## Training  ```bash bash train.sh 0 8 ``` The first parameter represents the global rank of the current process, used for inter process communication. The host with rank=0 is the master node. and the second parameter is the world size. Please review the detailed parameters of model training with train_en.sh script ## Inference We provide a script to generate images using pretrained checkpoints. run ```bash python test.py ``` ## TODOs - [x] Release inference code - [x] Release training code - [x] Release data preparation code - [ ] Release demo - [ ] Release training data ## Acknowledgements This repository is built on the code of [diffusers](https://github.com/huggingface/diffusers) library. Additionally, we borrow some code from [GLIGEN](https://github.com/gligen/GLIGEN), [FastComposer](https://github.com/mit-han-lab/fastcomposer) and [GlyphDraw](https://github.com/OPPO-Mente-Lab/GlyphDraw).
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:2036eb0aa1b46a8e, desc:fine-tuning, desc:fine tuning
matched fp:2036eb0aa1b46a8e, desc:text-to-image, desc:image generation