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@@ -24,11 +24,6 @@ JoyAI-Image Edit Plus is a multi-image instruction-guided editing model from the
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  | VAE | AutoencoderKLWan | 240M |
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  | Scheduler | FlowMatchEulerDiscreteScheduler | - |
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- Key design:
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- - **Patchified latent representation**: Input images and target noise are independently patchified into `[B, max_patches, C, pt, ph, pw]` format with a `target_mask` to distinguish target noise from reference patches.
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- - **Variable reference images**: Supports 1–6 reference images per sample via dynamic `shape_list`.
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- - **Norm-guided CFG**: Batch-concatenated classifier-free guidance with norm rescaling in a single forward pass.
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-
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  ## Installation
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  `JoyImageEditPlusPipeline` has not yet been merged into the official diffusers release. Before it is available in a stable version, you need to install diffusers from the PR branch:
@@ -127,7 +122,7 @@ python inference.py \
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  ```bibtex
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  @misc{joyai-image-2025,
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  title={JoyAI-Image: A Unified Multimodal Foundation Model for Image Understanding, Generation, and Editing},
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- author={JD AI Research},
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  year={2025},
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  url={https://github.com/jd-opensource/JoyAI-Image}
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  }
 
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  | VAE | AutoencoderKLWan | 240M |
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  | Scheduler | FlowMatchEulerDiscreteScheduler | - |
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  ## Installation
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  `JoyImageEditPlusPipeline` has not yet been merged into the official diffusers release. Before it is available in a stable version, you need to install diffusers from the PR branch:
 
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  ```bibtex
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  @misc{joyai-image-2025,
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  title={JoyAI-Image: A Unified Multimodal Foundation Model for Image Understanding, Generation, and Editing},
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+ author={Joy Future Academy, JD},
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  year={2025},
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  url={https://github.com/jd-opensource/JoyAI-Image}
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  }