README.md

metadata

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
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.

Full GPU Space

For a production Hugging Face Space, use GPU hardware and set:

SYNLAYERS_MODEL_REPO=SynLayers/Bbox-caption-8b

This lets the Space:

• load the bbox detector from your uploaded model repo root
• load SynLayers Pipeline

Local Run

From the SynLayers root:

python demo/app.py

Or run the unified CLI directly:

python demo/real_world_pipeline.py \
  --image "/path/to/your/image.png"