---
license: apache-2.0
language:
- en
base_model:
- Phr00t/Qwen-Image-Edit-Rapid-AIO
pipeline_tag: image-to-image
library_name: diffusers
tags:
- qwen-edit
- t2i
- i2i
- art
---

Diffusers-compatible transformer weights extracted from [Phr00t/Qwen-Image-Edit-Rapid-AIO-NSFW-V19](https://huggingface.co/Phr00t/Qwen-Image-Edit-Rapid-AIO/blob/main/v19/Qwen-Rapid-AIO-NSFW-v19.safetensors) for 4-step accelerated Qwen Image Edit inference.

## **Quick Start with Diffusers🧨** 

```
pip install -U torch transformers diffusers
```

```py
import torch
from diffusers.models import QwenImageTransformer2DModel
from diffusers import QwenImageEditPlusPipeline
from diffusers.utils import load_image

transformer = QwenImageTransformer2DModel.from_pretrained(
    "prithivMLmods/Qwen-Image-Edit-Rapid-AIO-V19",
    torch_dtype=torch.bfloat16
)

pipeline = QwenImageEditPlusPipeline.from_pretrained(
    "Qwen/Qwen-Image-Edit-2511",
    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")
```