Image-to-Image
Diffusers
Safetensors
ZenImageEditPipeline
text-to-image
image-editing
qwen-image
text-encoder
adapter
Instructions to use AiArtLab/zen-image-edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/zen-image-edit 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("AiArtLab/zen-image-edit", 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
Support for Qwen Image 2.1 Turbo?
#2
by kamjin - opened
Hi, thank you so much for releasing Zen-Image-Edit and for the great work on making it compatible with Qwen Image 2.1 β it's really appreciated by the community!
Now that Qwen Image 2.1 Turbo has been released, I was wondering if there are any plans to release a Zen-Image version supporting the Turbo variant? It would be wonderful to have.
Thanks again for your amazing work!