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  license: apache-2.0
 
 
 
 
 
 
 
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  license: apache-2.0
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+ library_name: diffusers
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+ pipeline_tag: image-to-image
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+ tags:
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+ - comfyui
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+ - image-editing
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+ - diffusers
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+ - joyai
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  ---
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+
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+ # JoyAI-Image-Edit (ComfyUI weights)
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+
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+ Single-file `.safetensors` checkpoints of [JoyAI-Image-Edit](https://github.com/jd-opensource/JoyAI-Image), repackaged for the standard ComfyUI model folder layout.
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+
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+ Use these with the `joyai_image_comfyui` custom node from the [JoyAI-Image GitHub repo](https://github.com/jd-opensource/JoyAI-Image/tree/main/joyai_image_comfyui).
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+
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+ ## Files
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+
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+ | File | Size | Goes into | Component |
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+ |------|------|-----------|-----------|
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+ | `diffusion_models/joy_image_edit_bf16.safetensors` | ~32 GB | `ComfyUI/models/diffusion_models/` | `JoyImageEditTransformer3DModel` (bf16) |
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+ | `text_encoders/qwen3vl_joyimage_bf16.safetensors` | ~17 GB | `ComfyUI/models/text_encoders/` | Qwen3VL text encoder (bf16) |
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+ | `vae/joy_image_edit_vae.safetensors` | ~254 MB | `ComfyUI/models/vae/` | `AutoencoderKLWan` |
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+
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+ The repo's directory layout already matches `ComfyUI/models/`, so a single `hf download` into your models root drops every file where it needs to go.
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+
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+ ## Quick start
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+
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+ ```bash
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+ # 1) Install the custom node
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+ cd ComfyUI/custom_nodes
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+ git clone https://github.com/jd-opensource/JoyAI-Image.git
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+ cp -r JoyAI-Image/joyai_image_comfyui ./
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+ rm -rf JoyAI-Image
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+
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+ # 2) Download the weights straight into ComfyUI/models/
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+ hf download jdopensource/JoyAI-Image-Edit-ComfyUI \
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+ --local-dir /path/to/ComfyUI/models
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+
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+ # 3) Restart ComfyUI — new nodes appear under `loaders/joyai` and `image/joyai`.
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+ ```
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+
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+ ## Requirements
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+
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+ - `diffusers >= 0.39.0.dev0` (install from source: `pip install git+https://github.com/huggingface/diffusers.git`)
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+ - `transformers >= 4.57.0`
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+
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+ ## GGUF quantizations
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+
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+ Lower-bit GGUF quants of the transformer and text encoder are available at [huangfeice/JoyAI-Image-Edit-Diffusers-GGUF](https://huggingface.co/huangfeice/JoyAI-Image-Edit-Diffusers-GGUF) (community contribution). The VAE here is the only VAE you need — GGUF doesn't quantize VAE.
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+
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+ ## Links
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+
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+ - Source code, node implementation, and full documentation: [github.com/jd-opensource/JoyAI-Image](https://github.com/jd-opensource/JoyAI-Image)
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+ - Original Diffusers-format weights: [jdopensource/JoyAI-Image-Edit-Diffusers](https://huggingface.co/jdopensource/JoyAI-Image-Edit-Diffusers)