Fix Runware model labels and categorization

[devin-ai-integration]

Fix Runware model labels and categorization

Summary

Fixes two major issues with the Runware model catalog:

1. Google Imagen models were displaying as google:1@1, google:1@2, etc. instead of proper names like "Imagen 3", "Imagen 3 Fast"
2. Many models were miscategorized as "Other" despite having architecture data available from the bundle (e.g., SDXL models should be grouped as "SDXL" not "Other")

Solution:

• Added architecture field to ApiInfo type to preserve raw architecture data from the Runware bundle
• Updated extraction pipeline to normalize architecture strings to user-friendly modelType values (e.g., "sdxl" → "SDXL", "flux1d" → "FLUX")
• Derived proper labels for 6 Google Imagen models from their descriptions
• Updated UI's getModelType() function to use the populated modelType field first before falling back to pattern matching

Results:

• 122 models total (85 image, 36 video, 1 audio)
• 113/122 models (92.6%) now have modelType populated
• "Other" category reduced from many models to only 9
• Google models now show proper names: "Imagen 3", "Imagen 3 Fast", "Imagen 4 Ultra", "Imagen 4 Preview"
• SDXL models properly categorized under "SDXL" family

Review & Testing Checklist for Human

Risk Level: Yellow - Data changes affecting user-facing model names and categorization

• Verify Google Imagen labels are correct - Check that the derived names make sense:

  • google:1@1 → "Imagen 3"
  • google:1@2 → "Imagen 3 Fast"
  • google:2@1 → "Imagen 4 Preview"
  • google:2@2 → "Imagen 4 Ultra"
  • google:2@3 → "Google Image Fast"
  • google:4@1 → "Google Image Fast"

• Test model categorization in UI - Open the model picker and verify:

  • Google models show proper names (not google:X@Y)
  • SDXL models appear under "SDXL" category (not "Other")
  • "Other" category contains ~9 models (reasonable count)
  • Major families like FLUX, Ideogram, Kling are properly grouped

• Spot-check model generation - Try generating with a few different model types to ensure nothing broke

Notes

• Changes are data-only (added fields, updated labels) - no logic changes to generation
• The 9 models without modelType will fall back to pattern matching in getModelType() and may appear in "Other" - this is expected
• Architecture data comes from the official Runware playground bundle extraction

Session: https://app.devin.ai/sessions/5388bb693ed44ffb8aa537d7f4e7c79d
Requested by: Ilya Timonin (@timoncool)

[devin-ai-integration]

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Project	Deployment	Preview	Comments	Updated (UTC)
videosos	Ready	Preview	Comment	Nov 4, 2025 3:35am