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
nunchaku-qwen-image-edit-2509 / svdq-int4_r128-qwen-image-edit-2509-lightningv2.0-8steps.safetensors
- Xet hash:
- ac054f48103a4a35f24eecf5c19f510ef0bc4802592cd5fe1ced212b0b5b4d68
- Size of remote file:
- 12.7 GB
- SHA256:
- d0e1f4c67010059e210b7cedb4b967179280e3e040e676292206b0dbb7af1e50
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