Instructions to use dx8152/Qwen-Image-Edit-2509-Relight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dx8152/Qwen-Image-Edit-2509-Relight 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-Image-Edit-2509-Relight") 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 Settings
- Draw Things
Update README.md
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README.md
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Welcome everyone to use Lora of Qwen-Edit-2509 of Image Fusion, its performance is amazing!
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Online running link: https://www.runninghub.
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There are two ways to use it: 1. Use the prompts in the dataset to change the image directly. 2. Use the trigger word:
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Welcome everyone to use Lora of Qwen-Edit-2509 of Image Fusion, its performance is amazing!
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Online running link: https://www.runninghub.ai/post/1983425100517187586?inviteCode=rh-v1331
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There are two ways to use it: 1. Use the prompts in the dataset to change the image directly. 2. Use the trigger word:
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