Flux2/Klein loads LoRAs as native modules through the diffusers method
path. network_activate() was only called when new native modules existed,
so removing a LoRA from the prompt left backed-up weights unrestored.
Check applied_layers to detect previously active native modules and
trigger network_activate() for the restore path.
When a video script (animatediff, text2video, image2video, stablevideodiffusion)
runs via Control tab, both the script's save and control_run's end-of-run save
fired. The latter crashed silently because the local `video` cv2 capture name at
control_run:584 shadowed the modules.video import, so the duplicate was hidden
and the gallery video link never propagated.
- alias import as video_module to bypass the shadow
- p.video_saved marker set by each script
- control_run skips its end-of-run save when the marker is set
LTX refine pipe uses output_type='pil' so result.frames[0] returns a list, not a 5-D tensor. Convert via images_to_tensor before the helper sees it, mirroring what save_video already does for the same input.
Set p.video_interpolate at run() entry so process_images_inner picks up
the helper. Save calls keep their existing kwargs; the sentinel guard
skips re-interpolation when the helper already ran.
- animatediff, text2video, image2video, stablevideodiffusion route
mp4_interpolate into p.video_interpolate
- modules/control/run.py routes the request video_interpolate arg
- xyz_grid intentionally untouched: its end-of-axis save_video stitches
the cell slideshow, not per-cell videos; a future video_interpolate
axis would set p.video_interpolate per cell via axis_options
LTX, video_run, and framepack_worker bypass process_images_inner, so
they call apply_video_interpolation explicitly before save_video. Save
receives already-inflated frames; the sentinel guard skips its own pass.
- LTX and video_run scale mp4_fps by interpolation_factor(p) so duration
is preserved instead of stretched (LTX is conditioned on source fps)
- FramePack pre-divides at gen time per get_latent_paddings, so save fps
stays at mp4_fps; worker passes p=None so save call uses
mp4_interpolate=0 to skip directly
- replaces the inline (mp4_interpolate+1) fps math at LTX with the
helper-driven equivalent
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
CalamitousFelicitousness
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