Buckets:

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debugx86

/

Qwen-Image-Edit-Rapid-AIO-bucket

🧨 diffusers compatiable transformer weights extracted from Phr00t/Qwen-Image-Edit-Rapid-AIO - V4 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")