import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2509", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("dx8152/Qwen-Image-Edit-2509-Fusion")
prompt = "Turn this cat into a dog"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(image=input_image, prompt=prompt).images[0]Hi everyone overseas! ModelScope has launched its training service abroad.
My LoRa training is all done using ModelScope. Thanks to the ModelScope team for providing the training infrastructure. Give it a try!
https://www.modelscope.cn/aigc/modelTraining
Welcome everyone to use Lora of Qwen-Edit-2509 of Image Fusion, its performance is amazing！
Online running link： https://www.runninghub.ai/post/1983425100517187586?inviteCode=rh-v1331
The trigger words are: 溶图,纠正产品透视角度和光影并使产品融入背景
Instructions: Download the lora file to the models/loras folder.
You also need this lora and use them together: https://huggingface.co/lightx2v/Qwen-Image-Lightning/tree/main
This is the effect used by Lora:
YouTube：https://youtu.be/0ObRTPbOPi0
Blibili：https://www.bilibili.com/video/BV15vWpzwEKJ/
For communication/cooperation, you can join the discord group to communicate： https://discord.gg/yVAVa43mWk
If these resources are helpful to you, or if you use them for business purposes, please buy me a coffee. Thank you for supporting original content! PayPal: Daniel8152
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