Tapestry Integration (Experimental)

The Tapestry Integration panel provides AI-powered photorealistic reconstruction capabilities. It connects to an external Tapestry server to submit rendering jobs that transform proxy-based scenes into photorealistic visualizations.

Warning

This is an experimental feature. It requires Experimental Features enabled in the EM Data Tree panel.

The panel is located in the EM Bridge tab.

Panel Layout

Network Configuration (collapsible):

  • Server text field: Tapestry server address (IP or hostname)

  • Port integer field: server port

  • Connection status indicator: Connected or Disconnected

  • Test Connection button: validates server connectivity

  • Open Tapestry Web UI button: opens the Tapestry dashboard in the browser

Render Settings:

  • Camera dropdown: select the active camera for rendering

  • Job Name text field with Generate button for auto-naming

  • Epoch dropdown (Advanced EM mode only): select the temporal context

  • Width and Height integer fields for render resolution

  • Use Only Visible Proxies toggle: limits the render to currently visible geometry

  • Epoch filter controls (Advanced EM mode only): enable/disable epoch-based filtering with status display

Preview & Queue Management:

  • Visible Proxies: N objects counter

  • Analyze Camera View button: scans the viewport and lists visible proxies with their visibility percentages (shows the first 5 objects)

  • Render for Tapestry button (large): renders the scene and prepares the export

  • Auto-submit to Server toggle: automatically sends the render to the Tapestry server after rendering

  • Last export path display with Open Export Folder button

Advanced Settings (collapsible):

  • Render engine info: Cycles (required)

  • Samples value: Cycles render samples

  • Export Normals toggle: include surface normal data

  • Keep Intermediate Files toggle: preserve temporary files for debugging

AI Generation Parameters:

  • Model dropdown: AI model selection

  • Steps value: number of denoising iterations

  • CFG Scale value: classifier-free guidance strength

  • Denoise Strength value: noise reduction intensity

Workflow

  1. Configure the network connection (server address and port) and test it

  2. Select a camera and set the render resolution

  3. Optionally select an epoch and enable epoch filtering (Advanced EM mode)

  4. Click Analyze Camera View to verify which proxies are visible

  5. Adjust the AI generation parameters if needed (model, steps, CFG scale, denoise strength)

  6. Click Render for Tapestry to render the scene

  7. If Auto-submit is enabled, the render is automatically sent to the server for AI processing

  8. Access results via the Tapestry Web UI