Instructions to use nunchaku-ai/nunchaku-qwen-image-edit-2509 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nunchaku-ai/nunchaku-qwen-image-edit-2509 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nunchaku-ai/nunchaku-qwen-image-edit-2509", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Qwen-Image-Edit-2509 Lightnging LoRAs are here
Hello, the new Lightning LoRAs from lightx2v just came down :https://huggingface.co/lightx2v/Qwen-Image-Lightning/tree/main/Qwen-Image-Edit-2509
Will there be a new merge with those ? Or do we wait for full LoRA support for Qwen ?
Cheers,
I'm also interested in this, since the current merges are based on the qwen-image loras, and don't edit well.
Interesting,although it uses qwen-image lora,results from my test are good too
thanks for the comparison images @fm3at
I'm also interested in knowing if there's a plan to do builds with the updated lightning loras because the results look very good.
Can you please update this with the latest lora for qwen edit (https://huggingface.co/lightx2v/Qwen-Image-Lightning/tree/main/Qwen-Image-Edit-2509) The results are much better than the old ones. Thx.








