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---
base_model:
- Qwen/Qwen-Image-Edit-2509
pipeline_tag: image-to-image
library_name: diffusers
---
🧨 diffusers compatiable transformer weights extracted from [**Phr00t/Qwen-Image-Edit-Rapid-AIO - V4**](https://huggingface.co/Phr00t/Qwen-Image-Edit-Rapid-AIO)
For accelerated Qwen Image Edit 2509 inference in 4 steps.
use with diffusers:
```
import torch
from diffusers.models import QwenImageTransformer2DModel
from diffusers import QwenImageEditPlusPipeline
from diffusers.utils import load_image
transformer = QwenImageTransformer2DModel.from_pretrained("linoyts/Qwen-Image-Edit-Rapid-AIO",
subfolder="transformer",torch_dtype=torch.bfloat16)
pipeline = QwenImageEditPlusPipeline.from_pretrained(
"Qwen/Qwen-Image-Edit-2509",
transformer=transformer,
torch_dtype=torch.bfloat16
)
pipeline.to('cuda')
image1 = load_image("grumpycat.png")
prompt = "turn the cat into an orange cat"
inputs = {
"image": [image1],
"prompt": prompt,
"generator": torch.manual_seed(42),
"true_cfg_scale": 1.0,
"negative_prompt": " ",
"num_inference_steps": 4,
"guidance_scale": 1.0,
"num_images_per_prompt": 1,
}
output = pipeline(**inputs)
output_image = output.images[0]
output_image.save("output_image_edit_plus.png")
``` |