Promote RIFE interpolation from a save-time kwarg to a real stage of the
processing pipeline so per-frame work (detailer, color correction,
postprocess scripts) operates on source-rate frames and the inflated
stream becomes the saved output.
- new modules/processing_video.py with apply_video_interpolation,
interpolation_factor, expand_infotexts; PIL/tensor/numpy dispatch
- video_interpolate, video_interpolate_scale, video_interpolated fields
on StableDiffusionProcessingVideo
- process_images_inner runs the helper after the batch loop and inflates
infotexts in lockstep
- save_video in modules/video.py and modules/video_models/video_save.py
short-circuit re-interpolation when p.video_interpolated is set; the
user-facing kwarg still flows into metadata
Vladimir Mandic
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