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Qwen-Image-2.1 LoRAs extract and remove layers for editing

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ModelScope released two Qwen-Image-2.1 LoRAs, LayerExtract and LayerRemove, for layer-based image editing.

LayerExtract isolates a prompt-specified subject onto a transparent background, while LayerRemove deletes the matching object from the source image and reconstructs the scene behind it.

Both can be hot-swapped within the same DiffSynth-Studio pipeline, and the LoRA weights are licensed under Apache 2.0, with Qwen-Image-2.1 base-model terms also applying.

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@ModelScope2022

Two LoRAs, one clean layer-editing workflow: extract an object as a transparent layer, then remove it from the original image.
🤖 https://modelscope.ai/models/DiffSynth-Studio/Qwen-Image-2.1-LayerExtract
🤖 https://modelscope.ai/models/DiffSynth-Studio/Qwen-Image-2.1-LayerRemove

✂️ LayerExtract isolates a prompt-specified subject and exports it on a transparent background for independent editing.
✨ LayerRemove takes the source image and a reference layer, removes the corresponding object, and reconstructs the scene behind it.
⚡ Both are compact Qwen-Image-2.1 LoRAs that can be hot-swapped within the same DiffSynth-Studio pipeline.
🧩 Together they turn flattened images into editable assets for compositing, repositioning, replacement, and design workflows.
📜 LoRA weights: Apache 2.0. Qwen-Image-2.1 base-model terms also apply.

Source: ModelScope · x.comPublished · added here