version: "1.0.1" name: wan-multitalk description: Build WAN MultiTalk audio-driven talking-avatar / lip-sync video workflows — MeiGen-AI MultiTalk on WAN 2.1 14B I2V via kijai WanVideoWrapper (portrait + audio → lip-synced video) globs:

• "**/*.json"

WAN MultiTalk — Audio-Driven Talking Avatar

Overview

MultiTalk (MeiGen-AI) drives a still portrait's lip-sync and head motion from an audio track. It runs on WAN 2.1 14B Image-to-Video via kijai's ComfyUI-WanVideoWrapper: Wav2Vec speech embeddings condition the WAN sampler so the mouth/expression follow the speech, while the lightx2v step-distill LoRA keeps it to a few sampling steps.

Use it for talking heads, dubbing, and single-speaker avatar clips (~10s at 480p). It is distinct from `wan-animate` (pose/motion-driven character animation) — this is audio → lip-sync, not reference-video motion transfer.

Pack: wan-multitalk (480p, ~10s). Higher-res/longer variants exist in the source bundle (720p, long-context) as VRAM/duration knobs on the same graph.

Pipeline (node graph)

LoadImage (portrait) ─┐
LoadAudio ─ AudioSeparation ─ AudioCrop ─ DownloadAndLoadWav2VecModel ─ MultiTalkWav2VecEmbeds ─┐
                                                                                                 ▼
WanVideoModelLoader (WAN 2.1 14B I2V GGUF) ─ MultiTalkModelLoader ─ WanVideoLoraSelect (lightx2v)
   + LoadWanVideoT5TextEncoder (umt5) + WanVideoTextEncode + WanVideoClipVisionEncode (clip_vision_h)
   + WanVideoVAELoader ──────────────────────────────────────────────────────────────────────────┘
                                                     ▼
                       WanVideoImageToVideoMultiTalk ─ WanVideoSampler ─ WanVideoDecode ─ VHS_VideoCombine

Key nodes (all kijai WanVideoWrapper unless noted):

• DownloadAndLoadWav2VecModel — auto-downloads the Wav2Vec speech model on first

run (no manifest entry needed).

• MultiTalkWav2VecEmbeds — turns the (separated, cropped) speech into the

embeddings that steer the mouth/expression.

• MultiTalkModelLoader + WanVideoImageToVideoMultiTalk — the MultiTalk head

on top of the WAN I2V model.

• AudioSeparation — isolate the voice from music/noise before embedding (cleaner

lip-sync). AudioCrop — trim to the segment you want to animate.

• ImageResizeKJv2 (KJNodes), VHS_VideoCombine (VideoHelperSuite) — resize +

mux to mp4.

Models

Sources: kijai Kijai/WanVideo_comfy, MeiGen-AI MeiGen-AI/MeiGen-MultiTalk, GGUF city96/Wan2.1-I2V-14B-480P-gguf. See packs/wan-multitalk/manifest.yaml (some URLs are best-effort — verify per mirror). Wav2Vec auto-downloads.

Inputs & key parameters

• Portrait (LoadImage): front-facing, clear face, neutral-ish expression works

best. Resized by ImageResizeKJv2 to the target (480p).

• Audio (LoadAudio): the speech track. AudioSeparation isolates the voice;

AudioCrop selects the segment (drives clip length).

• Steps: low (the lightx2v distill LoRA is why — typically ~4–8). Raising steps

rarely helps and costs time.

• BlockSwap (WanVideoBlockSwap): trade VRAM for speed — increase blocks swapped

to CPU on lower-VRAM cards.

VRAM tiers (from the source bundle's variants)

Pair with the VRAM launch-flags guidance (see troubleshooting): --use-sage-attention

• appropriate --*vram mode; MultiTalk benefits from --reserve-vram headroom for

the Wav2Vec + VAE round-trips.

Gotchas

• Audio must be voice-isolated for good lip-sync — skipping AudioSeparation on a

music-heavy track makes the mouth chase the wrong signal.

• One speaker. This graph is single-speaker; multi-speaker MultiTalk needs the

multi-embed variant (not in this pack).

• Wav2Vec first run downloads a model — the first render is slower.
• If lips look under-driven, check the MultiTalk embeds are actually wired into

WanVideoImageToVideoMultiTalk (not bypassed), and that the audio isn't silent after AudioCrop.

Sources

• Official: none found.
• Empirical: sampler values, wiring, and prompt notes from working graphs in packs/ and observed renders; not a vendor prompting guide.