P-Video-Avatar

P-Video-Avatar is a portrait-driven avatar video model that turns a single image into a speaking video using either an uploaded audio track or a generated voice from script. It is built for production avatar workflows with strong lip sync, selectable voices and languages, optional speaking-style control, seeded generation, and 720p or 1080p output for scalable talking-head video creation.
Complete technical specification for integration
Ready-to-use code snippets for common workflows
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: videoInferenceIdentifier for the type of task being performed.
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
outputType
stringdefault: URLVideo output type.
Allowed values1 value
outputFormat
stringdefault: MP4Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
- `MP4`: Widely supported video container (H.264), recommended for general use.
- `WEBM`: Optimized for web delivery.
- `MOV`: QuickTime format, common in professional workflows (Apple ecosystem).
Allowed values3 values
outputQuality
integermin: 20max: 99default: 95Compression quality of the output. Higher values preserve quality but increase file size.
webhookURL
stringuriWebhook URL that receives JSON responses via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
Learn more1 resource
- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: asyncDetermines how the API delivers task results.
Allowed values2 values
- Returns results directly in the API response. Over HTTP, a task still running after 120 seconds continues as an async task and comes back with status 'processing'. Poll for its results using getResponse.
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more1 resource
- Task PollingPLATFORM
uploadEndpoint
stringuriSpecifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.
Common use cases:
- Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600 // Google Cloud Storage presigned URL https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789 // Custom storage endpoint https://storage.example.com/uploads/generated-image.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
safety
objectContent safety checking configuration for video generation.
Properties2 properties
safety»checkContentcheckContent
booleanEnable or disable content safety checking. Increases total generation time.
safety»modemode
stringdefault: fastSafety checking mode for video generation.
Allowed values2 values
- Checks key frames.
- Checks all frames.
ttl
integermin: 60Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
includeCost
booleanInclude task cost in the response.
numberResults
integermin: 1max: 4default: 1Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
routing
objectModel router options. Only read when
modelisauto, and never sent to the model.Properties3 properties
routing»preferencespreferences
objectRelative importance of each dimension when models are compared. Weights, not thresholds.
Properties3 properties
routing»preferences»qualityquality
integermin: 0max: 5Importance of one dimension.
0leaves it out of the decision.
routing»preferences»speedspeed
integermin: 0max: 5Importance of one dimension.
0leaves it out of the decision.
routing»preferences»costcost
integermin: 0max: 5Importance of one dimension.
0leaves it out of the decision.
routing»maxPricemaxPrice
floatmin: 0Upper bound on what this request may cost, in USD. A model whose cost cannot be bounded is not chosen.
routing»requirementsrequirements
stringmax: 3000Conditions the result has to meet, in plain words, such as a style or a feature. A model that cannot meet them is not chosen. Output size is set with width and height rather than described here.
Inputs
Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs object.inputs»frameImagesframeImages
array of strings or objectsrequireditems: 1An array of frame-specific image inputs to guide video generation. Each item can be either a plain image input (UUID, URL, Data URI, or Base64) or an object that pairs an image with a target position in the video.
The
frameImagesparameter allows you to constrain specific frames within the video sequence, ensuring that particular visual content appears at designated points. Position can be specified usingframe(named positions or frame indices) ortimestamp(seconds), depending on model support. This is different fromreferenceImages, which provide overall visual guidance without constraining specific timeline positions.When the
frameparameter is omitted, automatic distribution rules apply:- 1 image: Used as the first frame.
Examples2 examples
Shorthand format: When you don't need to specify a frame position, you can pass a plain image input directly.
"frameImages": [ "aac49721-1964-481a-ae78-8a4e29b91402" ]Object format: When you need to specify a position, use an object with
imageand eitherframeortimestamp(model-dependent)."frameImages": [ { "image": "aac49721-1964-481a-ae78-8a4e29b91402", "frame": "first" } ]Format 1: string[]
Image input (UUID, URL, Data URI, or Base64).
Format 2: object[]2 properties
inputs»audioaudio
stringAudio input (UUID or URL).
Core Parameters
Primary parameters that define the task output.
model
stringrequiredvalue: prunaai:p-video@avatarSend
autoinstead of an AIR identifier to have the model router choose the model for this task. The rest of the request is unchanged, every value you send is kept, and only the parameters you leave out are filled in. See Model Router.Learn more3 resources
positivePrompt
stringText prompt describing elements to include in the generated output.
Learn more1 resource
- PromptsLEARN
- Prompts
resolution
stringdefault: 720pResolution preset for the output. When used with input media, automatically matches the aspect ratio from the input.
Allowed values2 values
seed
integermin: 0max: 2147483647Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
speech
objectSettings for speech generation.
Properties3 properties
Settings
Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings object.settings»promptUpsamplingpromptUpsampling
booleandefault: falseAutomatically enhance the prompt for improved results.
settings»safetyFiltersafetyFilter
booleandefault: trueContent safety filtering. Applies to prompts and the input image.
settings»voicePromptvoicePrompt
stringdefault: Say the following.Speaking style, tone, pacing, or emotion instructions for delivery.