Same grid convention as the multi-ref LTX-2 LoRA training pipeline
(build_multiref_sheet.py): deterministic layout by ref count (1x1, 2x1,
3x1, 2x2, 3-top+2-bottom), 512x512 panels, centered onto a fixed
1536x1024 canvas regardless of how many refs are plugged in. Panel
order matches the image0/image1/... indexing used in training.
Copy of LTX Identity Transfer generalized to N reference blocks: reference_face_front
(required, sid 2, drives ArcFace projector) + optional reference_back_head (sid 3),
reference_body_front (sid 4), reference_side_profile (sid 5). Empty optional inputs are
omitted, matching the multi-view training's view-dropout. Distinct patch flags so it
never collides with the single-ref node.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Empirically the AdaLN (CAN) modulation destroys the generation; the identity gain came from the
overlap + projector + LoRA, not the CAN. Reverted the Identity Transfer node to overlap + projector,
unregistered the standalone CAN node (file kept).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The ArcFace projector (appended text tokens) has ~0 impact (cross-attn can ignore them). CAN
injects identity into the self-attn AdaLN (shift+gate) of even blocks — a channel the model can't
ignore. Trained on top of the reference LoRA it lifts identity a lot (humo 0.52 -> 0.69) with no
first-frame leak. Node rebuilds CANModulation per even block from identity_adapters_*.safetensors
(can.<i>.*), extracts the reference ArcFace, and patches each even block's native forward with
shift_msa += dshift; gate_msa += tanh(dgate) — the exact training formula. Lazy imports; defensive
__init__. Weight-load + CAN forward validated headless; block patch untested in ComfyUI.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Feeds the reference image through the ALREADY-LOADED ComfyUI CLIP (LTX's own multimodal Gemma 3
vision) -> feature_extractor -> connector -> CONDITIONING. Identity is in Gemma's native space
(the reason foreign CLIP/DINO/ArcFace adapters fail on LTX); no reference latent (no copy-paste/
mask), no DiT surgery. Reuses the loaded CLIP (only loads a lightweight AutoProcessor for the
multimodal chat template). Mirrors ComfyUI-LTXVideo LTXVGemmaTextEncoderModel, run multimodally.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
BFSAmvGuideBuilder builds the keyframes+blank guide for the AMV av2av LoRA:
auto_scene / manual_indices / external_images, with audio-beat placement
(librosa beat_track, RMS-onset fallback) to sync cuts to the music. Adds
librosa to requirements.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Pure v2v anime->real conditioning for the Bernini-R anime2real LoRA
(trained without reference). Mirrors training: guide -> source_id 1 on
both positive and negative, empty latent -> source_id 0, no source_id 2
and no amplify_reference (no reference to amplify; text-only CFG).
Reuses bernini_patches; registered in __init__.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Standalone head-swap nodes for the Bernini-R LoRA (Wan2.2-A14B):
- HeadSwapBerniniConditioning: guide video -> source_id 1, head image ->
source_id 2; output follows the guide's native size, head keeps its own.
- HeadSwapLoRADebug: reports applied LoRA patch count on a MODEL.
Bundles the WanModel context_latents patch (vendored from ComfyUI-RH-Bernini,
GPL-3.0) so no external Bernini node package is required.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
alisson-anjos