Qwen-Image-Edit-2511-Upscale2K

starsfriday Qwen-Image-Edit-2511 LoRA

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This is a model for High-definition magnification of the picture, trained on Qwen/Qwen-Image-Edit-2511, and it is mainly used for losslessly enlarging images to approximately 2K size.For use in ComfyUI.

<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-2511-Upscale2K/blob/main/Upscale.json" style="color: #0366d6; text-decoration: none;">Comfy's Qwen/Qwen-Image-Edit-2511 workflow</a>. The main modification is adding a Qwen/Qwen-Image-Edit-2511 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-2511")
pipeline.to(torch.bfloat16)
pipeline.to("cuda")

# Load trained LoRA weights for in-scene editing
pipeline.load_lora_weights("starsfriday/Qwen-Image-Edit-2511-Upscale2K", weight_name="qwen_image_edit_2511_upscale.safetensors")

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

# Define in-scene editing prompt
prompt = "Upscale this picture to 4K resolution."

# 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("edited_image.png")

Trigger phrase

Upscale this picture to 4K resolution.

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