
# 

## Model Introduction

This model is trained using the [Civision/model training](https://modelscope.ai/civision/modelTraining) environment and computing resources provided by ModelScope.

* Model Type: LoRA
* Base Model: [Qwen/Qwen-Image-Edit-2509](https://modelscope.ai/models/Qwen/Qwen-Image-Edit-2509)
* Training Code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Data amount：10
* Total training steps：10000
* License: Apache-2.0

## Inference Code

Install [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio):

```bash
pip install diffsynth
```

Inference:

```python
from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
from PIL import Image
import torch

pipe = QwenImagePipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="Qwen/Qwen-Image-Edit-2509", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors"),
        ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="text_encoder/model*.safetensors"),
        ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
    ],
    processor_config=ModelConfig(model_id="Qwen/Qwen-Image-Edit", origin_file_pattern="processor/"),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="maastest0031/qwen12", origin_file_pattern="qwen12_c1-st10000.safetensors"))
prompt = "Convert the image style to anime style."
edit_image = Image.open("your_image.jpg")
image = pipe(prompt, edit_image=[edit_image], edit_image_auto_resize=True)
image.save("image.jpg")
```


qwen12

qwen12_c1-st5000.safetensors

c1-st5000

c1-st1000

c1-st2000

c1-st3000

c1-st4000

c1-st6000

c1-st7000

c1-st8000

c1-st9000

c1-st10000

Files with SHA256: 7d23e26510030f60e6c3dfd60ad157f5a813c0271b9c6d736849e5e5fb881e71