Text-to-Image
Diffusers
English
image-editing
SVDQuant
Qwen-Image-Edit-2509
Diffusion
Quantization
ICLR2025
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
2509 loras barely make any difference?
#13
by newgenerator - opened
I've downloaded and tested various 2509 loras at different strengths with both R32 and R128 FP4 variants, they barely make any difference to the image. Can someone tell me if I'm doing something wrong, I'm using the comfyui default "load lora" node.
I don't think LoRAs work with Nunchaku Qwen or Qwen Edit yet.
Correction 27.10.2025: i found this node for use lora with Nunchaku SVDQuant!!
https://github.com/ussoewwin/ComfyUI-QwenImageLoraLoader
Just follow the installation guide and work for me ! Hope this can help.
OLD: Loras dosen't work on Nunchaku qwen and qwen-edit. For use loras, you must use normal models or gguf from quantstack. I test and work on normal and gguf.