Any-to-Any
Transformers
Diffusers
text-to-image
image-editing
image-understanding
vision-language
multimodal
unified-model
Instructions to use Skywork/Unipic3-Consistency-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skywork/Unipic3-Consistency-Model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Skywork/Unipic3-Consistency-Model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- ema_transformer/config.json +18 -0
- transformer/config.json +18 -0
ema_transformer/config.json
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{
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"_class_name": "QwenImageTransformer2DModel",
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"_diffusers_version": "0.36.0.dev0",
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"_name_or_path": "Qwen-Image-Edit",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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16,
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56,
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56
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],
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"guidance_embeds": false,
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"in_channels": 64,
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"joint_attention_dim": 3584,
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"num_attention_heads": 24,
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"num_layers": 60,
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"out_channels": 16,
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"patch_size": 2
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}
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transformer/config.json
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{
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"_class_name": "QwenImageTransformer2DModel",
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"_diffusers_version": "0.36.0.dev0",
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"_name_or_path": "Qwen-Image-Edit",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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16,
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56,
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56
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],
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"guidance_embeds": false,
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"in_channels": 64,
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"joint_attention_dim": 3584,
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"num_attention_heads": 24,
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"num_layers": 60,
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"out_channels": 16,
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"patch_size": 2
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}
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