rattus fabed694a2 ltx: vae: implement chunked encoder + CPU IO chunking (Big VRAM reductions) (#13062) ... * ltx: vae: add cache state to downsample block * ltx: vae: Add time stride awareness to causal_conv_3d * ltx: vae: Automate truncation for encoder Other VAEs just truncate without error. Do the same. * sd/ltx: Make chunked_io a flag in its own right Taking this bi-direcitonal, so make it a for-purpose named flag. * ltx: vae: implement chunked encoder + CPU IO chunking People are doing things with big frame counts in LTX including V2V flows. Implement the time-chunked encoder to keep the VRAM down, with the converse of the new CPU pre-allocation technique, where the chunks are brought from the CPU JIT. * ltx: vae-encode: round chunk sizes more strictly Only powers of 2 and multiple of 8 are valid due to cache slicing.		2026-03-19 09:58:47 -07:00
..
vae	ltx: vae: implement chunked encoder + CPU IO chunking (Big VRAM reductions) (#13062)	2026-03-19 09:58:47 -07:00
vocoders	LTX audio vae novram fixes. (#12796)	2026-03-05 16:31:28 -05:00
av_model.py	Support the LTXAV 2.3 model. (#12773)	2026-03-04 20:06:20 -05:00
embeddings_connector.py	Support the LTXAV 2.3 model. (#12773)	2026-03-04 20:06:20 -05:00
latent_upsampler.py	Support the LTXV 2 model. (#11632)	2026-01-05 01:58:59 -05:00
model.py	Support the LTXAV 2.3 model. (#12773)	2026-03-04 20:06:20 -05:00
symmetric_patchifier.py	Support the LTXV 2 model. (#11632)	2026-01-05 01:58:59 -05:00