[!NOTE] This is a GGUF quantized version of Qwen Image Layered. unsloth/Qwen Image Layered GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. Important layers are upcasted to higher precision. Sample   🤗 HuggingFace      🤖 ModelScope       📑 Research Paper       📑 Blog       🤗 Demo    Introduction We are excited to introduce Qwen Image Layered , a model capable of decomposing an image into multiple RGBA layers. This layered representation unlocks inherent editability : each layer can be independently manipulated without affecting other content. Meanwhile, such a layered representation naturally supports high fidelity elementary operations such as resizing, reposition, and recoloring. By physically isolating semantic or structural components into distinct layers, our approach enables high fidelity and consistent editing. Quick Start 1. Make sure your transformers =4.51.3 (Supporting Qwen2.5 VL) 2. Install the latest version of diffusers Showcase Layered Decomposition in Application Given an image, Qwen Image Layered can decompose it into several RGBA layers: After decomposition, edits a…
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