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 model_index.json from AiArtLab/zen-image-edit: direct link, hf CLI and curl.
- Browser
- Download file 454 Bytes
-
https://huggingface.co/AiArtLab/zen-image-edit/resolve/0e81ff1a9dcf429e1c808abae3d9c564831d06f3/model_index.json
- Command line
-
hf download hf://AiArtLab/zen-image-edit@0e81ff1a9dcf429e1c808abae3d9c564831d06f3/model_index.json
-
curl -L -o model_index.json https://huggingface.co/AiArtLab/zen-image-edit/resolve/0e81ff1a9dcf429e1c808abae3d9c564831d06f3/model_index.json
454 Bytes
| { | |
| "_class_name": "ZenImageEditPipeline", | |
| "_diffusers_version": "0.41.0.dev0", | |
| "processor": [ | |
| "transformers", | |
| "Qwen3VLProcessor" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3_5ForConditionalGeneration" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "QwenImage21FusionTransformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLQwenImage21" | |
| ] | |
| } |