Instructions to use ppmppmppmppm/qwen_image_edit_2509_torchao_uint3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ppmppmppmppm/qwen_image_edit_2509_torchao_uint3 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") pipe.load_lora_weights("ppmppmppmppm/qwen_image_edit_2509_torchao_uint3") prompt = "qwen_image_edit_2509_torchao_uint3" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
qwen_image_edit_2509_torchao_uint3

- Prompt
- qwen_image_edit_2509_torchao_uint3
- Negative Prompt
- qwen_image_edit_2509_torchao_uint3
Model description
qwen_image_edit_2509_torchao_uint3
Trigger words
You should use qwen_image_edit_2509_torchao_uint3 to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Base model
Qwen/Qwen-Image-Edit-2509