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  license: apache-2.0
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  ---
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- # LoRA 融合器(FLUX.1-dev)
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- 本模型用于调和多 LoRA 模型同时加载时的互斥关系,防止出现画面崩坏。
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- 细节请参考我们的论文:[AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation](https://arxiv.org/abs/2508.02107)
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- **我们仍在优化这一模型,此版本模型在部分 LoRA 上的效果仍不稳定,敬请期待我们后续的更新。**
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- ## 效果展示
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- 提示词:`a cat`
 
 
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  ||[LoRA 1](https://modelscope.cn/models/cancel13/cxsk)|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2)|[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|
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  |-|-|-|-|-|
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  |[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|![](./assets/cat/image_0_2.jpg)|![](./assets/cat/image_1_2.jpg)|![](./assets/cat/image_2_2.jpg)|![](./assets/cat/image_2_3.jpg)|
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  |[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|![](./assets/cat/image_0_3.jpg)|![](./assets/cat/image_1_3.jpg)|![](./assets/cat/image_2_3.jpg)|![](./assets/cat/image_3_3.jpg)|
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- 提示词:`a car`
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  ||[LoRA 1](https://modelscope.cn/models/cancel13/cxsk)|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2)|[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|
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  |[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|![](./assets/car/image_0_2.jpg)|![](./assets/car/image_1_2.jpg)|![](./assets/car/image_2_2.jpg)|![](./assets/car/image_2_3.jpg)|
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  |[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|![](./assets/car/image_0_3.jpg)|![](./assets/car/image_1_3.jpg)|![](./assets/car/image_2_3.jpg)|![](./assets/car/image_3_3.jpg)|
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- ## 推理代码
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  ```shell
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  git clone https://github.com/modelscope/DiffSynth-Studio.git
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  ],
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  )
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  pipe.enable_lora_magic()
 
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  pipe.load_lora(
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  pipe.dit,
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  ModelConfig(model_id="cancel13/cxsk", origin_file_pattern="30.safetensors"),
 
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  ---
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  license: apache-2.0
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  ---
 
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+ # LoRA Fuser (FLUX.1-dev)
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+ This model is designed to harmonize conflicting relationships when multiple LoRA models are loaded simultaneously, preventing image degradation.
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+ For details, please refer to our paper: [AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation](https://arxiv.org/abs/2508.02107)
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+ **We are still optimizing this model. The current version may produce unstable results with certain LoRAs. Please stay tuned for future updates.**
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+ ## Result Demonstration
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+
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+ Prompt: `a cat`
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  ||[LoRA 1](https://modelscope.cn/models/cancel13/cxsk)|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2)|[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|
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  |[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|![](./assets/cat/image_0_2.jpg)|![](./assets/cat/image_1_2.jpg)|![](./assets/cat/image_2_2.jpg)|![](./assets/cat/image_2_3.jpg)|
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  |[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|![](./assets/cat/image_0_3.jpg)|![](./assets/cat/image_1_3.jpg)|![](./assets/cat/image_2_3.jpg)|![](./assets/cat/image_3_3.jpg)|
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+ Prompt: `a car`
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  ||[LoRA 1](https://modelscope.cn/models/cancel13/cxsk)|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2)|[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|
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  |[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|![](./assets/car/image_0_2.jpg)|![](./assets/car/image_1_2.jpg)|![](./assets/car/image_2_2.jpg)|![](./assets/car/image_2_3.jpg)|
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  |[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|![](./assets/car/image_0_3.jpg)|![](./assets/car/image_1_3.jpg)|![](./assets/car/image_2_3.jpg)|![](./assets/car/image_3_3.jpg)|
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+ ## Inference Code
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  ```shell
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  git clone https://github.com/modelscope/DiffSynth-Studio.git
 
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  ],
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  )
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  pipe.enable_lora_magic()
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+ ```
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+ ```python
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  pipe.load_lora(
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  pipe.dit,
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  ModelConfig(model_id="cancel13/cxsk", origin_file_pattern="30.safetensors"),