Instructions to use dx8152/Qwen-Edit-2509-Light-Migration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dx8152/Qwen-Edit-2509-Light-Migration with Diffusers:
pip install -U diffusers transformers accelerate
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-Edit-2509-Light-Migration") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
This model is trained (code-free!) on ModelScope. Thanks to ModelScope team for providing the training infra:
https://www.modelscope.cn/aigc/modelTraining
This time, we're bringing you the groundbreaking LoRA light transfer tool. It's the first to solve the problem of Qwen-Edit-2509's inability to perform secondary lighting on images with existing lighting.
Online running link: www.runninghub.ai/post/1997616377580204033?inviteCode=rh-v1331
This is a user guide:
YouTube:https://youtu.be/zhB74PiVG_4
Blibili:https://www.bilibili.com/video/BV1VumPBSEuU/
For communication/cooperation, you can join the discord group to communicate: https://discord.gg/yVAVa43mWk
The operation is extremely simple; just input the desired image and the desired lighting and shadow. The results are absolutely fantastic!
Default suggestion word: "参考色调,移除图1原有的光照并参考图2的光照和色调对图1重新照明"
You can use either the Image version of Lightning or the Edit version of Lightning; I feel the Edit version performs better.
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