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---
license: apache-2.0
---
# LoRA Fuser (FLUX.1-dev)
This model is designed to harmonize conflicting relationships when multiple LoRA models are loaded simultaneously, preventing image degradation.
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)
**We are still optimizing this model. The current version may produce unstable results with certain LoRAs. Please stay tuned for future updates.**
## Result Demonstration
Prompt: `a cat`
||[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)|
|-|-|-|-|-|
|[LoRA 1](https://modelscope.cn/models/cancel13/cxsk)|![](./assets/cat/image_0_0.jpg)|![](./assets/cat/image_0_1.jpg)|![](./assets/cat/image_0_2.jpg)|![](./assets/cat/image_0_3.jpg)|
|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2)|![](./assets/cat/image_0_1.jpg)|![](./assets/cat/image_1_1.jpg)|![](./assets/cat/image_1_2.jpg)|![](./assets/cat/image_1_3.jpg)|
|[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)|
|[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)|
Prompt: `a car`
||[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)|
|-|-|-|-|-|
|[LoRA 1](https://modelscope.cn/models/cancel13/cxsk)|![](./assets/car/image_0_0.jpg)|![](./assets/car/image_0_1.jpg)|![](./assets/car/image_0_2.jpg)|![](./assets/car/image_0_3.jpg)|
|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2)|![](./assets/car/image_0_1.jpg)|![](./assets/car/image_1_1.jpg)|![](./assets/car/image_1_2.jpg)|![](./assets/car/image_1_3.jpg)|
|[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)|
|[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)|
## Inference Code
```shell
git clone https://github.com/modelscope/DiffSynth-Studio.git
cd DiffSynth-Studio
pip install -e .
```
```python
import torch
from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
pipe = FluxImagePipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="flux1-dev.safetensors"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
ModelConfig(model_id="DiffSynth-Studio/LoRAFusion-preview-FLUX.1-dev", origin_file_pattern="model.safetensors"),
],
)
pipe.enable_lora_magic()
```
```python
pipe.load_lora(
pipe.dit,
ModelConfig(model_id="cancel13/cxsk", origin_file_pattern="30.safetensors"),
hotload=True,
)
pipe.load_lora(
pipe.dit,
ModelConfig(model_id="DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1", origin_file_pattern="merged_lora.safetensors"),
hotload=True,
)
image = pipe(prompt="a cat", seed=0)
image.save("image_fused.jpg")
```