Portrait Image Input
Start from a single portrait image that anchors the speaker or avatar.
Wan 2.2 Speech to Video
Wan 2.2.Speech to Video from One Portrait Image and One Audio Track.
Wan 2.2 speech to video is built for talking-style generation. Upload a portrait image, add the speech audio, describe the delivery style, and generate the clip in 480p, 580p, or 720p.
Built for talking-head content, explainers, simple avatar workflows, and voice-led output.
Portrait+AudioRequired Inputs
10sMax Clip
720pMax Output
Speech-DrivenWorkflow Type
Generate with Wan 2.2 Speech
Try Wan 2.2 Speech to Video
Upload the portrait and the audio, then generate a talking-style video clip.
What Is Wan 2.2 Speech to Video
Wan 2.2 Speech to Video — A Simple Portrait-and-Audio Video Workflow.
Wan 2.2 speech to video is a mode for generating talking-style clips from one portrait image and one audio file. It is a more structured workflow than generic prompt-led video when spoken delivery is central.
In this project, Wan 2.2 speech to video supports 480p, 580p, or 720p output and offers short clip generation that fits explainers, creator-style content, and operational talking-video tasks.
Speech Audio Input
Use an audio track to drive the delivery rather than relying on prompt-only imagination.
Talking-Style Workflow
This mode is designed around voiced output and is more specific than general scene generation.
480p, 580p, and 720p
Choose the output profile that matches review needs and content distribution.
How It Works
Wan 2.2 Speech to Video in
Three Practical Steps.
Upload the portrait, add the speech track, then generate the talking-style clip.
01
01
Upload the Portrait Image
Choose the portrait image that should anchor the speaker. The quality and clarity of the portrait affect how stable the talking result feels.
Use a clear face-forward image when identity needs to read immediately.
02
02
Add the Audio and Prompt
Upload the speech audio, then describe the style, energy, or presentation context you want around the spoken delivery.
Use the prompt for delivery framing, not for replacing the role of the audio.
03
03
Generate in 480p, 580p, or 720p
Choose the output profile that fits the use case, then render the short talking-style clip.
This mode is strongest when the content goal is a clear speaking clip, not a complex cinematic scene.
Wan 2.2 Speech Features
Why Teams Use
Wan 2.2 Speech to Video?
A more structured workflow for talking-style clips than prompt-only generation.
Portrait Image + Audio Input
Wan 2.2 speech to video combines a portrait image and an audio track, which gives the workflow clearer inputs than prompt-only talking-head generation.
Two specific inputs, clearer outcomes.
Talking-Style Video Generation
This mode is useful for explainers, voice-led content, simple avatar clips, and operations-heavy talking video tasks.
Built for speaking clips, not generic scenes.
480p, 580p, and 720p
Three output sizes are enough for most operational talking-video needs, from internal review to cleaner publication drafts.
Right-sized for operational output.
Short, Practical Clip Lengths
Short clip generation keeps the workflow usable for repeated speaking segments without making each run too heavy.
Short clips, repeatable production.
Better Fit for Explainers and Avatar Tasks
Speech-led video modes are useful when the spoken content is already known and the visual job is mainly to support that delivery.
Let the audio drive the structure.
Lower Ambiguity Than Scene Prompts
By starting from a portrait and an audio track, the model has less ambiguity about the job than a pure prompt-led scene generator.
More constrained inputs, less guesswork.
Useful for Repeated Content Operations
Teams producing many small explainers, tutorials, or localization variants can benefit from the repeatable input structure.
Operationally easier to repeat.
Strong Entry Point into Voice-Led AI Video
Wan 2.2 speech to video is a practical mode when the project needs speech-driven output but does not need a much larger avatar platform.
Simple path to speech-led video.
Use Cases
Wan 2.2 Speech to Video for Talking-Style Content.
Use Wan 2.2 speech to video when audio and portrait inputs already define the job.
Narration Tests
Prototype Spoken Delivery Quickly
Use portrait-plus-audio input to test narrated character or presenter clips before heavier production.
Creator Formats
Build Voice-Led Short Clips from a Portrait
Generate short talking-style content for creator channels, commentary, or short explainers.
Product Explainers
Create Spoken Product and Offer Clips
Use a portrait image and a prepared voice track to build simple promotional explainers and announcement content.
Character Voice Tests
Pair Voice Samples with Character Portraits
Use speech to video to test speaking-character presentation without building full cinematics.
Localization Ops
Reuse the Workflow Across Multiple Spoken Variants
The clear input structure is useful when teams need multiple small speech-led variants around the same visual anchor.
Teaching Content
Turn Lessons into Short Talking Explainers
Use speech-driven clips for short lecture intros, tutorial segments, and teaching summaries.
What Teams Say
Why Operators Use Wan 2.2 Speech to Video.
“The main win is clarity. Portrait plus audio is a clearer brief than trying to describe a talking-head clip entirely in text.”
AC
Ava Chen
Education Producer
“We use it for small spoken explainers where the content is already written and voiced. That is the right role for this mode.”
MR
Marco Ruiz
Studio Operator
“Speech-driven generation is more useful than generic video when the deliverable is essentially a short speaking clip.”
LS
Leah Stone
Content Strategist
“The resolution ladder is enough for our use case. We care more about repeatability and operational speed than maximum cinematic polish.”
DN
Daniel Ng
Explainer Video Lead
“It is a good workflow when you already have the voice track and just need the visual speaking layer to match that structure.”
YW
Yuna Watanabe
Localization Manager
“Wan 2.2 speech to video earns its place because the input contract is simple enough for teams to use repeatedly.”
HK
Hiro Kato
AI Content Operator
Start Creating with
Wan 2.2 Speech to Video
Generate talking-style AI clips from a portrait image and an audio track with a clear speech-led workflow.
No credit card required. Free generations included. Portrait + audio workflow available now.
No credit card required·Free generations included·Portrait + audio input·Commercial license
Wan 2.2 Speech FAQ
Wan 2.2 Speech to Video —
Frequently Asked Questions.
Wan 2.2 speech to video is a talking-style workflow that uses a portrait image and an audio file to generate a short spoken video clip.
In this project, Wan 2.2 speech to video requires one portrait image and one speech audio input.
Wan 2.2 speech to video supports 480p, 580p, and 720p output.
Wan 2.2 speech to video supports short talking-style clips and offers durations up to 10 seconds in this project.
It is best for talking-head content, explainers, simple avatar-style outputs, and voice-led educational or marketing clips.
Speech to video gives the workflow clearer structure when spoken delivery is central, because the portrait and audio already define the key inputs.
Yes. This workflow depends on both the portrait image and the audio track.
It is a strong fit for educators, marketers, creators, and operators who need short speech-driven video without a more complex avatar platform.
Still have questions? Contact us