10 Commits

Include renames

Author	SHA1	Message	Date
Ivan ZorinandGitHub	57414dadfe	fix: cross-attention AdaLN scale, shift, sigma parameters calculation (#14097)	2026-05-25 20:07:09 -07:00
Jukka SeppänenandGitHub	33ce449c8b	Reduce LTX2.3 peak VRAM when guide_mask is in use (CORE-166) (#13735) ... - Reduce peak VRAM by handling self_attn_mask more efficiently - Fallback to SDPA when self_attention_mask is used	2026-05-16 00:02:27 +03:00
rattusandGitHub	783782d5d7	Implement block prefetch + Lora Async load + and adopt in LTX (Speedup!) (CORE-111) (#13618) ... * mm: Use Aimdo raw allocator for cast buffers pytorch manages allocation of growing buffers on streams poorly. Pyt has no windows support for the expandable segments allocator (which is the right tool for this job), while also segmenting the memory by stream such that it can be generally re-used. So kick the problem to aimdo which can just grow a virtual region thats freed per stream. * plan * ops: move cpu handler up to the caller * ops: split up prefetch from weight prep block prefetching API Split up the casting and weight formating/lora stuff in prep for arbitrary prefetch support. * ops: implement block prefetching API allow a model to construct a prefetch list and operate it for increased async offload. * ltxv2: Implement block prefetching * Implement lora async offload Implement async offload of loras.	2026-05-02 19:23:24 -04:00
Jukka SeppänenandGitHub	e87858e974	feat: LTX2: Support reference audio (ID-LoRA) (#13111)	2026-03-23 18:22:24 -04:00
comfyanonymousandGitHub	43c64b6308	Support the LTXAV 2.3 model. (#12773)	2026-03-04 20:06:20 -05:00
Tavi HalperinandGitHub	a4522017c5	feat: per-guide attention strength control in self-attention (#12518) ... Implements per-guide attention attenuation via log-space additive bias in self-attention. Each guide reference tracks its own strength and optional spatial mask in conditioning metadata (guide_attention_entries).	2026-02-26 01:25:23 -05:00
comfyanonymousandGitHub	f266b8d352	Move LTXAV av embedding connectors to diffusion model. (#12569)	2026-02-21 22:29:58 -05:00
Jukka SeppänenandGitHub	55bd606e92	LTX2: Refactor forward function for better VRAM efficiency and fix spatial inpainting (#12046) ... * Disable timestep embed compression when inpainting Spatial inpainting not compatible with the compression * Reduce crossattn peak VRAM * LTX2: Refactor forward function for better VRAM efficiency	2026-01-23 15:26:38 -05:00
Jukka SeppänenandGitHub	fd5c0755af	Reduce LTX2 VRAM use by more efficient timestep embed handling (#11829)	2026-01-12 17:28:59 -05:00
comfyanonymousandGitHub	f2b002372b	Support the LTXV 2 model. (#11632)	2026-01-05 01:58:59 -05:00