SynLayers Real-World Decomposition
Upload a single image and run the full pipeline in one step:
- VLM for whole-caption + bounding-box detection
- SynLayers real-image layer decomposition This Space can run either on a dedicated GPU Space or on Hugging Face ZeroGPU. The first request may still take time while Python modules and model objects are initialized. Model files are prefetched during Space startup, and initialized model objects are reused while the process stays alive.
Runtime Status
SPACE_ID:SynLayers/synlayersACCELERATOR:zeroHF_HOME:/home/user/.cache/huggingfaceStage 1 bbox repo/path:SynLayers/Bbox-caption-8bStage 2 repo:SynLayers/synlayers
Model Asset Prefetch
Prefetch enabled:TrueStage 1 bbox model:SynLayers/Bbox-caption-8bStage 2 model repo:SynLayers/synlayersStage 1 files prefetched:TrueStage 2 assets prefetched:True
ZeroGPU
ZeroGPU mode:TrueRequested GPU size:largeRequested max duration:500secondsCUDA probe outside @spaces.GPU:True
This Space is configured for Hugging Face ZeroGPU.
A shared GPU is requested on demand when you click Run Full Pipeline.
Model files are prefetched during Space startup, before the ZeroGPU function is called.
After the first successful request, model objects are reused while the Python process stays alive.
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