Instructions to use T5B/Qwen-Image-Edit-2509-FP8-E5M2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use T5B/Qwen-Image-Edit-2509-FP8-E5M2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("T5B/Qwen-Image-Edit-2509-FP8-E5M2", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Qwen-Image-Edit-2509 (FP8 E5M2)
This is a quantization of Qwen/Qwen-Image-Edit-2509 to FP8 E5M2.
License & Usage: This model strictly follows the original licensing terms and usage restrictions. Please refer to the original model card for details.
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Base model
Qwen/Qwen-Image-Edit-2509