Qwen-Image-Edit-Remover-General-LoRA

starsfriday Qwen-Image-Edit LoRA

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This is a model for object removal, trained on Qwen/Qwen-Image-Edit, and is suitable for object removal tasks of e-commerce images, character images, and object images.For use in ComfyUI. The greatest advantage of using this LORA is that it maintains the consistency of the original image without changing any parts.

<div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">ComfyUI Workflow</h2> <p>This LoRA works with a modified version of <a href="https://huggingface.co/starsfriday/Qwen-Image-Edit-Remover-General-LoRA/blob/main/Qwen-Edit-LORA.json" style="color: #0366d6; text-decoration: none;">Comfy's Qwen-Image-Edit workflow</a>. The main modification is adding a Qwen-Image-Edit LoRA node connected to the base model.</p> <p>See the Downloads section above for the modified workflow.</p> </div>

Direct Use

from diffusers import QwenImageEditPipeline
import torch
from PIL import Image

# Load the pipeline
pipeline = QwenImageEditPipeline.from_pretrained("Qwen/Qwen-Image-Edit")
pipeline.to(torch.bfloat16)
pipeline.to("cuda")

# Load trained LoRA weights for in-scene editing
pipeline.load_lora_weights("starsfriday/Qwen-Image-Edit-Remover-General-LoRA",weight_name="qwen-edit-remover.safetensors")

# Load input image
image = Image.open("./result/test.png").convert("RGB")

# Define in-scene editing prompt
prompt = "移除猫猫"

# Generate edited image with enhanced scene understanding
inputs = {
    "image": image,
    "prompt": prompt,
    "generator": torch.manual_seed(12345),
    "true_cfg_scale": 4.0,
    "negative_prompt": " ",
    "num_inference_steps": 50,
}

with torch.inference_mode():
    output = pipeline(**inputs)
    output_image = output.images[0]
    output_image.save("restlt.png")

Trigger phrase

从场景中移除XXX

There is no fixed trigger word. The specific removal prompt needs to be tested more

Download model

Weights for this model are available in Safetensors format.

Download

Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(https://vvicat.com/).Business cooperation is welcome