Network activation ran after prompt encoding, so text encoder lora
weights never affected embeds on the first generation and the stale
result was then served from the embed cache. The trailing unfiltered
activate in network_load also overrode the te exclude filter, so the
lora_apply_te setting was never honored.
- parse and activate networks in process_base before pipeline args are built
- activate_filtered gates text encoder components on per-request or global
lora_apply_te; used by base, hires, detailer and faceid call sites
- network_load accepts activate=False for callers that run their own
deactivate/activate sequence with include/exclude
- network_activate walks excluded components in restore-only mode so a
filtered text encoder reverts to backup instead of keeping stale deltas
- loaded_loras cache is single-entry since per-filter entries go stale when
the setting toggles
- prompt embed cache key includes the effective lora_apply_te value
review feedback from vladmandic on commit 80fde086f.
- run_ltx: drop the inline random.seed() / randrange resolve and use
processing.fix_seed(p) right after the StableDiffusionProcessingVideo
construction. p.seed carries the resolved int across every stage
(latent_pass, both upsample paths, refine, post-refine vae_decode).
matches the existing fix_seed(p) call sites in img2img.py:30,
video_run.py:101, xyz_grid.py:266 and 8 others.
- process_decode: add AudioFrameList(list) subclass and attach_audio
helper to carry output.audio onto the returned frame list. mirrors
the existing output.bytes early-return contract: samples.audio
survives downstream so process_images_inner can collect it via the
Processed.audio kwarg.
- drop the p.audio_capture transit in process_diffusers and the
fallback read in process_images_inner. p is input params, not
output state.
process_decode strips video pipeline output to a flat list of frames at the
PIL early-return (processing_diffusers.py:461-465), so any output.audio is
lost before processing.process_images returns. video pipelines that produce
synchronized audio (LTX-2 audio-capable models) were getting silent mp4s on
the non-latent path.
stash output.audio on p.audio_capture before process_decode runs and let
processing read it back as a fallback when samples is a flat list.
ltx_process non-latent branch strips the (B, 2, N) batch dim with [0] so
write_audio's .T+contiguous() path produces interleaved bytes for AAC s16.
The else branch in process_decode was returning a numpy array directly
from vae_decode, while the if branch properly converted results to a
list. This caused process_samples to return early with an empty infotext
list, and zip(numpy_array, []) produced zero iterations, resulting in
images=0 for detailer, inpainting, and img2img operations.
Bug introduced in 3e8dec929 (Dec 2024), exposed by 63a180be1 (Nov 2025).
CalamitousFelicitousness
Vladimir Mandic
awsr
Disty0