Using Stable Diffision models for Colorization

[safshe]

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Dan

Hi Dan,
I’ve done a clean install of everything from scratch, and it is working now. Based on my initial testing, here are my observations and a few feature suggestions:


1. Temporal Color Consistency Issue
While the model successfully colorizes and outputs all images, consistency across frames is a major issue. The model tends to colorize the same shot differently from frame to frame. For example, in a tracking shot where a man walks from a distance toward the camera, his shirt color shifts multiple times throughout the sequence.
2. Shot-Based Segmentation & Keyframe Reference (Feature Suggestion)
Since we already have scene detection capabilities, we could leverage it to fix this consistency problem. Here is a potential workflow:

• Automated Batching: The system could automatically segment each detected shot into its own dedicated folder.
  
• Keyframe Guidance: Once the first image (or a chosen keyframe) is colorized, the model could use it as a reference for the remaining frames in that folder. A prompt fallback like "colorize the remaining images using the color profile and references from the first image" could drastically improve uniformity.
  
• Granular Control via GUI: Adding a dedicated GUI tab for shot management would be incredibly helpful. If a specific shot's colorization fails or looks off, we could easily navigate to that shot's folder via the interface and re-run the colorization for just that sequence.
  

3. Manual Reference & Control Net Tab (Feature Suggestion)
For scenes requiring high accuracy—such as maintaining the specific historical colors of an institutional logo, emblem, or uniform—we need a way to manually intervene.

• It would be fantastic to have an additional tab where we can upload a specific external reference image.
  
• We could then instruct the model with a prompt like: "colorize this sequence, but match the emblem's colors exactly to the attached reference image."
  

Implementing these features would give us the comprehensive, granular control needed to restore and colorize video content with professional accuracy.