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
Download .gitignore from AiArtLab/zen-image-edit: direct link, hf CLI and curl.
- Browser
- Download file 45 Bytes
-
https://huggingface.co/AiArtLab/zen-image-edit/resolve/88a93c15aa070da8fbde00158c92e2d9ee5bcb7f/.gitignore
- Command line
-
hf download hf://AiArtLab/zen-image-edit@88a93c15aa070da8fbde00158c92e2d9ee5bcb7f/.gitignore
-
curl -L -o .gitignore https://huggingface.co/AiArtLab/zen-image-edit/resolve/88a93c15aa070da8fbde00158c92e2d9ee5bcb7f/.gitignore
45 Bytes
| __pycache__/ | |
| *.pyc | |
| .ipynb_checkpoints/ | |
| gens/ | |