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title: SynLayers
emoji: "🧩"
colorFrom: blue
colorTo: purple
sdk: gradio
python_version: "3.10"
app_file: app.py
suggested_hardware: a100-large
startup_duration_timeout: 2h
short_description: "GPU Space for SynLayers real-world layer decomposition"
models:
- SynLayers/Bbox-caption-8b
- SynLayers/synlayers
pinned: false
---
# SynLayers Demo
This folder now contains a unified real-world inference demo:
1. `demo/infer` runs the fixed-prompt VLM caption + bbox detector.
2. `infer/infer.py` runs SynLayers decomposition with `infer/infer.yaml`.
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.
## Model Repos
The Space now expects two separate model repositories:
```text
SYNLAYERS_BBOX_MODEL_REPO=SynLayers/Bbox-caption-8b
SYNLAYERS_STAGE2_MODEL_REPO=SynLayers/synlayers
```
This lets the Space:
- 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
From the `SynLayers` root:
```bash
python demo/app.py
```
Or run the unified CLI directly:
```bash
python demo/real_world_pipeline.py \
--image "/path/to/your/image.png"
```
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