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
.
ComfyUI Workflow
This LoRA works with a modified version of
Comfy's Qwen/Qwen-Image-Edit-2511 workflow
. The main modification is adding a Qwen/Qwen-Image-Edit-2511 LoRA node connected to the base model.
See the Downloads section above for the modified workflow.
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("valiantcat/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.
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