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| license: apache-2.0 |
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| # ImagePulseV2 Dataset - Lighting Adjustment |
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| The ImagePulseV2 dataset is a custom-built dataset we created for training the Diffusion Templates series of models. It consists of multiple subsets generated using models such as Z-Image-Turbo, Qwen-Image, and Qwen-Image-Edit, based on prompts randomly sampled from DiffusionDB. |
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| * Open-source code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) |
| * Technical report: [arXiv](https://arxiv.org/abs/2604.24351) |
| * Project homepage: [GitHub](https://modelscope.github.io/diffusion-templates-web/) |
| * Documentation: [English Version](https://diffsynth-studio-doc.readthedocs.io/en/latest/Diffusion_Templates/Introducing_Diffusion_Templates.html), [Chinese Version](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/Diffusion_Templates/Introducing_Diffusion_Templates.html) |
| * Try online: [ModelScope Studio](https://modelscope.cn/studios/DiffSynth-Studio/Diffusion-Templates) |
| * Model collections: [ModelScope](https://modelscope.cn/collections/DiffSynth-Studio/KleinBase4B-Templates), [ModelScope International](https://modelscope.ai/collections/DiffSynth-Studio/KleinBase4B-Templates), [HuggingFace](https://huggingface.co/collections/DiffSynth-Studio/kleinbase4b-templates) |
| * Datasets: [ModelScope](https://modelscope.cn/collections/DiffSynth-Studio/ImagePulseV2), [ModelScope International](https://modelscope.ai/collections/DiffSynth-Studio/ImagePulseV2), [HuggingFace](https://huggingface.co/collections/DiffSynth-Studio/imagepulsev2) |
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| ## Data Examples |
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| |Editing Instruction|Input Image|Output Image| |
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| |Relight the image using spotlight illumination||| |
| |Relight the image using noon sunlight (neutral color temperature, strong light, sharp shadows)||| |
| |Relight the image using irregular gap lighting (dappled light through树叶)||| |
