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-lightningv2.0-4steps.safetensors
- Xet hash:
- b0c6ae9fb9d32d57583e61873e243767ca0c1743793dced39644dd631c12a480
- Size of remote file:
- 12.7 GB
- SHA256:
- ec63cbacb29d80264a786f21f7b4b26f19147b3bdb25895966906d78bde0473b
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