prithivMLmods/Qwen-Image-Edit-Rapid-AIO-V4

🤗 Hugging Face sourceimage-to-imageapache-2.020.4B params20 GBsafetensors✓ 4 checksumsupdated today

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Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo prithivMLmods/Qwen-Image-Edit-Rapid-AIO-V4 ./model-folder

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Diffusers-compatible transformer weights extracted from Phr00t/Qwen-Image-Edit-Rapid-AIO-V4 for 4-step accelerated Qwen Image Edit inference.

Quick Start with Diffusers🧨

pip install -U torch transformers diffusers

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-V4",
    torch_dtype=torch.bfloat16
)

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