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update eligen dataset

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2025-02-11 13:53:51 +08:00
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README.md
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## News
- **December 31, 2024** We propose EliGen, a novel framework for precise entity-level controlled text-to-image generation, complemented by an inpainting fusion pipeline to extend its capabilities to image inpainting tasks. EliGen seamlessly integrates with existing community models, such as IP-Adapter and In-Context LoRA, enhancing its versatility. For more details, see [./examples/EntityControl](./examples/EntityControl/).
* Paper: [EliGen: Entity-Level Controlled Image Generation with Regional Attention](https://arxiv.org/abs/2501.01097)
* Github: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Model: [ModelScope](https://www.modelscope.cn/models/DiffSynth-Studio/Eligen)
* Training dataset: Coming soon
- Paper: [EliGen: Entity-Level Controlled Image Generation with Regional Attention](https://arxiv.org/abs/2501.01097)
- Model: [ModelScope](https://www.modelscope.cn/models/DiffSynth-Studio/Eligen)
- Online Demo: [ModelScope EliGen Studio](https://www.modelscope.cn/studios/DiffSynth-Studio/EliGen)
- Training Dataset: [EliGen Train Set](https://www.modelscope.cn/datasets/DiffSynth-Studio/EliGenTrainSet)
- **December 19, 2024** We implement advanced VRAM management for HunyuanVideo, making it possible to generate videos at a resolution of 129x720x1280 using 24GB of VRAM, or at 129x512x384 resolution with just 6GB of VRAM. Please refer to [./examples/HunyuanVideo/](./examples/HunyuanVideo/) for more details.

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examples/EntityControl/README.md
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* Github: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Model: [ModelScope](https://www.modelscope.cn/models/DiffSynth-Studio/Eligen)
* Online Demo: [ModelScope EliGen Studio](https://www.modelscope.cn/studios/DiffSynth-Studio/EliGen)
* Training dataset: Coming soon
* Training Dataset: [EliGen Train Set](https://www.modelscope.cn/datasets/DiffSynth-Studio/EliGenTrainSet)
## Methodology