WAN MultiTalk — Audio-Driven Talking Avatar
SkillMediaBuild 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)
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the WAN MultiTalk — Audio-Driven Talking Avatar skill
What this skill tells your AI
The instructions your AI receives, as published by artokun/comfyui-mcp in plugin/skills/wan-multitalk/SKILL.md and read by ahel’s review.
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 and 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 and expression.
- MultiTalkModelLoader + WanVideoImageToVideoMultiTalk. The MultiTalk head on top of the WAN I2V model.
- AudioSeparation and AudioCrop (audio-separation-nodes-comfyui). Isolate the voice from music/noise before embedding and trim the segment you want to animate.
- ImageResizeKJv2 (KJNodes), VHS_VideoCombine (VideoHelperSuite). Resize and 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_fp8_e4m3fn.safetensors | MultiTalkModelLoader | diffusion_models/ |
umt5_xxl_fp16.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.safetensors | WanVideoLoraSelect | loras/ |
Sources: kijai Kijai/WanVideo_comfy, MeiGen-AI MeiGen-AI/MeiGen-MultiTalk, GGUF
city96/Wan2.1-I2V-14B-480P-gguf, and Comfy-Org's repackaged UMT5. See
packs/wan-multitalk/manifest.yaml (some URLs are best-effort; verify per mirror).
Wav2Vec auto-downloads. The bundled WanVideoWrapper loader rejects the scaled_fp8
UMT5 checkpoint; use the UMT5 fp16 file above, not generic t5xxl_fp16 weights.
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 to 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
--*vrammode; MultiTalk benefits from--reserve-vramheadroom 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, so 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.
Signals
- GitHub stars
- 739
- Forks
- 120
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
wan-multitalk- Source
- github.com/artokun/comfyui-mcp