Lip Sync Generation
Synchronizes lip movements to an audio track across any language, preserving natural rhythm and pronunciation throughout the video.
InfiniteTalk is an audio-driven avatar generation model developed by MeiGen-AI and hosted on WaveSpeedAI. It takes a single portrait photo or silent video paired with an audio track and produces an animated talking or singing video with synchronized lip movements, head poses, facial expressions, and body posture. Built on the Wan 2.1 video diffusion foundation, it uses a sparse-frame processing approach and a rolling 81-frame context window to maintain visual consistency across extended sequences. The model supports output videos up to 10 minutes long and offers both 480p and 720p resolution options. InfiniteTalk is designed for content creators, marketers, educators, and developers who need to produce realistic talking-head videos at scale. It supports any language for lip synchronization and includes a two-person dialogue mode for animating back-and-forth conversations between two speakers. Common use cases include multilingual dubbing and localization, corporate training videos, virtual presenters, podcast visualization, and music video production. Its extended duration support makes it particularly suited for long-form educational content and digital human applications.
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A fuller summary of positioning, capabilities, and source-specific details for Infinitetalk.
InfiniteTalk is an audio-driven avatar generation model developed by MeiGen-AI and hosted on WaveSpeedAI. It takes a single portrait photo or silent video paired with an audio track and produces an animated talking or singing video with synchronized lip movements, head poses, facial expressions, and body posture. Built on the Wan 2.1 video diffusion foundation, it uses a sparse-frame processing approach and a rolling 81-frame context window to maintain visual consistency across extended sequences. The model supports output videos up to 10 minutes long and offers both 480p and 720p resolution options.
InfiniteTalk is designed for content creators, marketers, educators, and developers who need to produce realistic talking-head videos at scale. It supports any language for lip synchronization and includes a two-person dialogue mode for animating back-and-forth conversations between two speakers. Common use cases include multilingual dubbing and localization, corporate training videos, virtual presenters, podcast visualization, and music video production. Its extended duration support makes it particularly suited for long-form educational content and digital human applications.
Synchronizes lip movements to an audio track across any language, preserving natural rhythm and pronunciation throughout the video.
Animates a single portrait photo or silent video into a fully moving talking-head video, including head pose, gaze shifts, eyebrow raises, and subtle posture changes.
Generates continuous talking videos up to 10 minutes in length using a rolling 81-frame context window to maintain visual consistency.
Animates two speakers in a realistic back-and-forth conversation within a single generated video.
Accepts a text prompt input to steer style, pose, or expression while maintaining audio synchronization.
Supports 480p for faster processing or 720p for higher quality output, selectable via a configuration input.
Allows users to define specific regions of the image or video that should animate, leaving other areas static.
Accepts a seed value to enable reproducible generation outputs for consistent results across runs.
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Places where this model is available, based on the synced detail-page metadata.
The configurable options currently documented for this model.
Image to be lip synced.
Audio to be lip synced.
Optional prompt to guide the lip sync.
The resolution of the output video.
Parameters currently listed by OpenRouter or the local catalog for this model.
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Infinitetalk discussions are most active in r/StableDiffusion, r/comfyui, r/AI_Late_to_Class. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions.
The strongest match in this snapshot has 1175 upvotes and 163 comments.
Hi fellas,
I've been using InfiniteTalk a lot for my use case, mostly for talking avatar. My workflow use an image+audio as input and it worked well so far.
The problem with InfiniteTalk is that it can't do camera motion while it doing the lip sync.
I've tried LongCat avatar, yes it made the camera motion + lip sync but the video quality is lower (InfiniteTalk is sharper) and it take about 4x longer to produce vs InfiniteTalk with the same video res and duration. And it can't do long video.
And then LTX2 came, after some hassle, I can get it to work on my comfyui. The camera motion+lip sync is acceptable. The problem is, it only lip sync if I input an audio with a music. I can't get it to talk or speech without a music. It will only produce a still video with slow zoom in if I gave it an only speech audio.
Any advice for this kind of use case?
FYI, I only have 16gb VRAM and I use distilled gguf workflow.
It's just Kijai's workflow, but if you don't have it yet, you can grab it here, at the top of my profile:
[https://x.com/ArtificeLtd](https://x.com/ArtificeLtd)
I used an RTX Pro 6000, but I think you could do this with a 24gb card, too, if you have enough RAM. (The system I was using had at least 200gb)
RTX 4090 48G Vram
Model: wan2.1\_i2v\_720p\_14B\_bf16
Lora: lightx2v\_I2V\_14B\_480p\_cfg\_step\_distill\_rank256\_bf16
Resolution: 1280x720
frames: 81 \*80 / 6480
Rendering time: 4 min \*80 = 5h 20min
Steps: 4
Block Swap: 14
Audio CFG:1
Vram: 44 GB
\--------------------------
Prompt:
A woman stands in a room singing a love song, and a close-up captures her expressive performance
\--------------------------
Workflow:
[https://drive.google.com/file/d/1gWqHn3DCiUlCecr1ytThFXUMMtBdIiwK/view?usp=sharing](https://drive.google.com/file/d/1gWqHn3DCiUlCecr1ytThFXUMMtBdIiwK/view?usp=sharing)
Song Source: My own AI cover
[https://youtu.be/E0c9wyjZ\_PY](https://youtu.be/E0c9wyjZ_PY)
[https://youtu.be/oM6HvD-NJCU](https://youtu.be/oM6HvD-NJCU)
Singer: Hiromi Iwasaki (Japanese idol in the 1970s)
[https://en.wikipedia.org/wiki/Hiromi\_Iwasaki](https://en.wikipedia.org/wiki/Hiromi_Iwasaki)
With the rapid development of AI technology, the barriers to video creation have significantly lowered, but challenges still remain. Traditional video tools often only make characters' mouths move, while other details like facial expressions and body movements can appear unnatural or stiff. Creating more complex content typically requires expensive equipment and time-consuming post-production, which makes it costly and not well-suited for long videos.
Recently, I came across [Infinite Talk AI](https://www.infinitetalkai.com/), a tool that brings a new breakthrough to video creation. It not only makes characters in videos or photos "speak" naturally along with audio, but also synchronizes details like eyebrows, eye movements, and head gestures, offering a more vivid performance. The core of this technology lies in audio-driven animation, where actions are closely synced with the rhythm of the voice, creating a very natural effect.
Infinite Talk AI offers two usage options: one is an open-source model, ideal for developers like me to customize; the other is an easy-to-use online tool that allows regular creators to get started easily. This tool not only lowers the barrier to video creation but also reliably generates long videos, making it widely applicable for memorial videos, social media content, virtual hosting, and more.
Of course, there are other similar tools on the market offering comparable features. However, after using Infinite Talk AI for a while, I found it excels in terms of naturalness and ease of use, especially for content creation and online education. Have any of you used other similar tools? What are your thoughts on Infinite Talk AI? Any better alternatives you'd recommend?
Looking forward to discussing more options and experiences in this field!
RTX 4090 48G Vram
Model: wan2.1\_i2v\_720p\_14B\_fp8\_scaled
Lora: lightx2v\_I2V\_14B\_480p\_cfg\_step\_distill\_rank256\_bf16
Resolution: 1280x720
frames: 81 \*49 / 3375
Rendering time: 5 min \*49 / 245min
Steps: 4
Vram: 36 GB
\--------------------------
Song Source: My own AI cover
[https://youtu.be/9ptZiAoSoBM](https://youtu.be/9ptZiAoSoBM)
Singer: Hiromi Iwasaki (Japanese idol in the 1970s)
[https://en.wikipedia.org/wiki/Hiromi\_Iwasaki](https://en.wikipedia.org/wiki/Hiromi_Iwasaki)
InfiniteTalk requires an image URL (portrait photo) or a silent video URL paired with an audio URL. Optional inputs include a text prompt for style guidance, a resolution selector (480p or 720p), and a seed value for reproducibility.
InfiniteTalk supports video generation up to 10 minutes in length, enabled by its sparse-frame processing approach and rolling 81-frame context window.
InfiniteTalk has a context window of 50,000 tokens as listed in the model metadata.
Yes, InfiniteTalk supports lip synchronization across any language, preserving natural rhythm and pronunciation regardless of the audio language.
According to the model metadata, InfiniteTalk has a training date of May 2025.
Yes, MeiGen-AI has published the InfiniteTalk source code on GitHub at github.com/MeiGen-AI/InfiniteTalk.
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