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 transformer/config.json from AiArtLab/zen-image-edit: direct link, hf CLI and curl.
- Browser
- Download file 784 Bytes
-
https://huggingface.co/AiArtLab/zen-image-edit/resolve/88a93c15aa070da8fbde00158c92e2d9ee5bcb7f/transformer/config.json
- Command line
-
hf download hf://AiArtLab/zen-image-edit@88a93c15aa070da8fbde00158c92e2d9ee5bcb7f/transformer/config.json
-
curl -L -o config.json https://huggingface.co/AiArtLab/zen-image-edit/resolve/88a93c15aa070da8fbde00158c92e2d9ee5bcb7f/transformer/config.json
784 Bytes
| { | |
| "_class_name": "QwenImage21FusionTransformer2DModel", | |
| "_diffusers_version": "0.37.0.dev0", | |
| "attention_head_dim": 128, | |
| "axes_dims_rope": [ | |
| 16, | |
| 56, | |
| 56 | |
| ], | |
| "context_in_dim": 4096, | |
| "in_channels": 64, | |
| "num_attention_heads": 32, | |
| "num_layers": 32, | |
| "out_channels": 64, | |
| "patch_size": 1, | |
| "mlp_ratio": 3, | |
| "eps": 1e-06, | |
| "causal_condition": true, | |
| "text_fusion_config": { | |
| "in_dim": 6144, | |
| "out_dim": 4096, | |
| "hidden": 6144, | |
| "proj_layers": 3, | |
| "norm": "ln-per-layer", | |
| "n_slices": 6, | |
| "attention": 2, | |
| "attn_dim": 1024, | |
| "attn_heads": 8, | |
| "max_len": 512, | |
| "mixer": 2, | |
| "mixer_heads": 8, | |
| "mixer_ffn": 2, | |
| "student_layers": [ | |
| 4, | |
| 8, | |
| 12, | |
| 16, | |
| 20, | |
| 24 | |
| ], | |
| "drop_idx": 14 | |
| } | |
| } |