Instructions to use lovis93/next-scene-qwen-image-lora-2509 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lovis93/next-scene-qwen-image-lora-2509 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("lovis93/next-scene-qwen-image-lora-2509") 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

- Xet hash:
- 88d2e65264ee28b6c6987198d9a894d49458191d4c7d9457688212504e8b8f89
- Size of remote file:
- 7.76 MB
- SHA256:
- 8a7d8c414b50559097f80af7420ba5eb71c41da0c1458de7ac8b174756de245d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.