--- 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 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 `--*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, 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.