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", 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 / lightning-251115 /svdq-fp4_r32-qwen-image-edit-2509-lightning-8steps-251115.safetensors
- Xet hash:
- bbfa37caa2306275c833b69b24218c5ae5338693076e3dffbe2b1011b7d9323f
- Size of remote file:
- 11.9 GB
- SHA256:
- c0c11d08dc376227a637314fae752f6f42f79f5c22d9a722ac7c3ca12361b8b0
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