Stable Diffusion custom workflow for rendering video

Developed a Python script that leverages Stable Diffusion models to enhance video quality by applying stylized post-processing to each frame. Using Gradio and Stable Diffusion 1.5, I discovered that combining diffusion-based rendering with simple shading techniques can significantly improve the visual style of rendered output.

I then integrated frame interpolation into the workflow along with custom color correction to reduce flickering between frames. By automatically generating these intermediate frames, the resulting videos have smoother and more natural motion while maintaining better overall structural consistency.

The results are not perfect, but they show promising potential for AI-assisted video stylization.