wan-multitalk

Apps & Automation

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)

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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

File	Loader	Folder
`Wan2.1_14b_Image_to_Video_480p_GGUF_Q8.gguf`	WanVideoModelLoader	`diffusion_models/`
`WanVideo_2_1_Multitalk_14B_fp32.safetensors`	MultiTalkModelLoader	`diffusion_models/`
`umt5_xxl_fp8_e4m3fn_scaled.safetensors`	LoadWanVideoT5TextEncoder	`text_encoders/`
`Wan2_1_VAE_bf16.safetensors`	WanVideoVAELoader	`vae/`
`clip_vision_h.safetensors`	CLIPVisionLoader	`clip_vision/`
`Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64_fixed.safetensors`	WanVideoLoraSelect	`loras/`

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)

Target	Approx VRAM	Lever
480p 10s	~8–12 GB	base
480p low-VRAM	~6–8.4 GB	more BlockSwap, GGUF quant, lower quality
720p 10s	~11–16 GB	higher res

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.