Instructions to use Qwen/Qwen-Image-Edit-2511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qwen/Qwen-Image-Edit-2511 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("Qwen/Qwen-Image-Edit-2511", 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Deployment options for production use cases
#15
by Cagnicolas - opened
Hey! Saw the character consistency improvements and industrial design capabilities - really impressive work. We're looking at hosting inference endpoints for image editing models. Curious if you'd be interested in discussing deployment options for production use cases?
Hey, if you want something ready to deploy using this model, you can try my image generation/editing server (open source) compatible with the OpenAI SDK :D