add qwen-image-layered

Signed-off-by: vladmandic <mandic00@live.com>

CHANGELOG.md

@@ -1,10 +1,13 @@
 # Change Log for SD.Next
 
-## Update for 2025-12-21
+## Update for 2025-12-22
 
 - **Models**
   - [LongCat Image](https://github.com/meituan-longcat/LongCat-Image) in *Image* and *Image Edit* variants  
     LongCat is a new 8B diffusion base model using Qwen-2.5 as text encoder  
+  - [Qwen Image Layered](https://huggingface.co/Qwen/Qwen-Image-Layered)  
+    Qwen-Image-Layered, a model capable of decomposing an image into multiple RGBA layers  
+    *note*: set number of desired output layers in *settings -> model options*  
 - **Features**
   - Google **Gemini** and **Veo** models support for both *Dev* and *Vertex* access methods  
     see [docs](https://vladmandic.github.io/sdnext-docs/Google-GenAI/) for details  

html/reference.json

@@ -200,6 +200,15 @@
     "size": 56.1,
     "date": "2025 September"
   },
+  "Qwen-Image-Layered": {
+    "path": "Qwen/Qwen-Image-Layered",
+    "preview": "Qwen--Qwen-Image-Edit-2509.jpg",
+    "desc": "Qwen-Image-Layered, a model capable of decomposing an image into multiple RGBA layers",
+    "skip": true,
+    "extras": "",
+    "size": 53.7,
+    "date": "2025 December"
+  },
   "Qwen-Image-Lightning": {
     "path": "vladmandic/Qwen-Lightning",
     "preview": "vladmandic--Qwen-Lightning.jpg",

modules/shared.py

@@ -185,6 +185,8 @@ options_templates.update(options_section(('model_options', "Model Options"), {
     "model_wan_boundary": OptionInfo(0.85, "Stage boundary ratio", gr.Slider, {"minimum": 0, "maximum": 1.0, "step": 0.05 }),
     "model_chrono_sep": OptionInfo("<h2>ChronoEdit</h2>", "", gr.HTML),
     "model_chrono_temporal_steps": OptionInfo(0, "Temporal steps", gr.Slider, {"minimum": 0, "maximum": 50, "step": 1 }),
+    "model_qwen_layer_sep": OptionInfo("<h2>WanAI</h2>", "", gr.HTML),
+    "model_qwen_layers": OptionInfo(2, "Qwen layered number of layers", gr.Slider, {"minimum": 2, "maximum": 9, "step": 1 }),
 }))
 
 options_templates.update(options_section(('offload', "Model Offloading"), {

pipelines/model_qwen.py

@@ -25,6 +25,8 @@ def load_qwen(checkpoint_info, diffusers_load_config=None):
         diffusers.pipelines.auto_pipeline.AUTO_TEXT2IMAGE_PIPELINES_MAPPING["qwen-image"] = diffusers.QwenImageEditPipeline
         diffusers.pipelines.auto_pipeline.AUTO_IMAGE2IMAGE_PIPELINES_MAPPING["qwen-image"] = diffusers.QwenImageEditPipeline
         diffusers.pipelines.auto_pipeline.AUTO_INPAINT_PIPELINES_MAPPING["qwen-image"] = diffusers.QwenImageEditPipeline
+    elif 'Layered' in repo_id:
+        cls_name = diffusers.QwenImageLayeredPipeline
     else:
         cls_name = diffusers.QwenImagePipeline
         diffusers.pipelines.auto_pipeline.AUTO_TEXT2IMAGE_PIPELINES_MAPPING["qwen-image"] = diffusers.QwenImagePipeline
@@ -69,6 +71,10 @@ def load_qwen(checkpoint_info, diffusers_load_config=None):
     pipe.task_args = {
         'output_type': 'np',
     }
+    if 'Layered' in repo_id:
+        pipe.task_args['use_en_prompt'] = True
+        pipe.task_args['cfg_normalize'] = True
+        pipe.task_args['layers'] = shared.opts.model_qwen_layers
 
     del text_encoder
     del transformer