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README.md

@@ -11,6 +11,7 @@ startup_duration_timeout: 2h
 short_description: "GPU Space for SynLayers real-world layer decomposition"
 models:
   - SynLayers/Bbox-caption-8b
+  - SynLayers/synlayers
 pinned: false
 ---
 
@@ -23,18 +24,26 @@ This folder now contains a unified real-world inference demo:
 3. `demo/real_world_pipeline.py` stitches the two stages together for one uploaded image.
 4. `demo/app.py` provides a Gradio interface that can be used locally or adapted for a Hugging Face Space.
 
-## Full GPU Space
+## Model Repos
 
-For a production Hugging Face Space, use GPU hardware and set:
+The Space now expects two separate model repositories:
 
 ```text
-SYNLAYERS_MODEL_REPO=SynLayers/Bbox-caption-8b
+SYNLAYERS_BBOX_MODEL_REPO=SynLayers/Bbox-caption-8b
+SYNLAYERS_STAGE2_MODEL_REPO=SynLayers/synlayers
 ```
 
 This lets the Space:
 
-- load the bbox detector from your uploaded model repo root
-- load SynLayers Pipeline
+- load the bbox detector from `SynLayers/Bbox-caption-8b`
+- load the Stage 2 SynLayers checkpoints from `SynLayers/synlayers`
+
+`SynLayers/Bbox-caption-8b` should only host the Stage 1 bbox-caption model.
+`SynLayers/synlayers` should host the Stage 2 decomposition checkpoints and runtime assets.
+
+## Hardware
+
+The Space code supports either a dedicated GPU Space or ZeroGPU. Hardware is still chosen in the Hugging Face Space settings.
 
 ## Local Run