Bernini-R-S2V

Bernini-R-S2V

ComfyUI Bernini-R-S2V custom node v2 (update)

Bernini S2V Conditioning v2 - Bernini in-context video/image conditioning with masked lip-sync for one or two speakers. <video controls width="100%" height="480"> <source src="https://huggingface.co/rzgar/Bernini-R-S2V/resolve/main/video/ComfyUI__00003-audio.mp4" type="video/mp4"> Your browser does not support the video tag. </video>

Unzip ComfyUI-WanBerniniS2V_v2.zip into ComfyUI/custom_nodes/, then restart ComfyUI.

or save the Python files in: ComfyUI/custom_nodes/ComfyUI-WanBerniniS2V_v2/

Disable or remove the older ComfyUI-WanBerniniS2V folder if you only want v2.

One speaker

• audio_1 + mask_1
• Leave audio_2 / mask_2 unwired

Two speakers (dialog)

• audio_1 + mask_1 - first speaker
• audio_2 + mask_2 - second speaker
• speaker_2_start_frame = -1 - second audio starts when the first clip ends

Masks

Paint on the output frame where each speaker's face appears. Masks control lip-sync placement only, they are not tied to reference_image_N slots. <img src="https://huggingface.co/rzgar/Bernini-R-S2V/resolve/main/ComfyUI-WanBerniniS2V_v2/demo_assets/Screenshot_ComfyUI-WanBerniniS2V_v2.png" width="1280" height="720" />

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<video controls width="100%" height="480"> <source src="https://huggingface.co/rzgar/Bernini-R-S2V/resolve/main/Bernini-R-S2V-FP8/video/ComfyUI__00005-audio.mp4" type="video/mp4"> Your browser does not support the video tag. </video>

Speech-driven video on Bernini-R , T2V, I2V, and V2V with lip-sync.

This model adds single-speaker audio support to Bernini-R, so you can drive video with speech in text-to-video, image-to-video, and video-to-video setups. It is not state-of-the-art audio-to-video, but it removes the need for post-processing or extra models just to add speech to Wan videos. For basic talking-head work, or longer videos built from short sequences, it is a handy all-in-one option on top of Bernini's motion and editing strengths.

ComfyUI detects these as WAN22_S2V / 'WanModel_S2V' (audio keys trigger S2V model type).

Usage

1. Download the checkpoints.
2. Place in:

   ComfyUI/models/diffusion_models/
   

3. Add wav2vec2 to:

   ComfyUI/models/audio_encoders/
   

4. Install ComfyUI-WanBerniniS2V custom node:

   (Create a folder in 'ComfyUI/custom_nodes/'  named 'ComfyUI-WanBerniniS2V', then save the Python files in that folder.)
   

5. Restart ComfyUI.
6. Search for the Bernini S2V Conditioning node or use the example workfllow

Audio tips