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_r128-qwen-image-edit-2509-lightning-8steps-251115.safetensors
- Xet hash:
- eefbe4de44e5bb0fa8af1711f8411ece388c721f0e878e44059ccee6e4b4c536
- Size of remote file:
- 13.1 GB
- SHA256:
- 76c8d1855beb161308ddd4ed4dfb0271b42fb142362f55a0adb3a7d95582ba12
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