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
File size: 784 Bytes
3a93d0e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | {
"_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
}
} |