Bytedance Avatar Omni Human
Playground
Try it on WaveSpeedAI!OmniHuman turns a single portrait photo into avatar video with lifelike motion and expressions ($0.12/sec). Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Transform any portrait into a realistic talking avatar with Avatar Omni Human. Simply upload a photo and an audio clip, and watch the subject come to life with perfectly synchronized lip movements, natural expressions, and lifelike head motion — ideal for virtual presenters, digital content, and personalized video messages.
Why It Looks Great
- Realistic lip sync: Advanced audio analysis ensures precise mouth movements matching every syllable.
- Natural expressions: Generates authentic facial expressions and subtle head movements.
- Simple workflow: Just two inputs — an image and audio — for complete avatar generation.
- High fidelity: Preserves the original portrait’s likeness and quality.
- Versatile audio support: Works with speech, singing, and various audio types.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Portrait image of the person to animate (upload or public URL). |
| audio | Yes | Audio file for lip synchronization (upload or public URL). |
| enable_base64_output | No | API only: Returns base64 string instead of URL. |
How to Use
- Upload your image — drag and drop a clear portrait photo or paste a public URL.
- Upload your audio — add the speech or audio you want the avatar to perform.
- Run — click the button to generate.
- Download — preview and save your talking avatar video.
Pricing
Per-second billing based on audio duration.
| Metric | Cost |
|---|---|
| Per second | $0.12 |
Examples
| Audio Length | Calculation | Total Cost |
|---|---|---|
| 5s | 5 × $0.12 | $0.60 |
| 15s | 15 × $0.12 | $1.80 |
| 30s | 30 × $0.12 | $3.60 |
| 1m (60s) | 60 × $0.12 | $7.20 |
| 5m (300s) | 300 × $0.12 | $36.00 |
Best Use Cases
- Virtual Presenters — Create AI spokespeople for videos, presentations, and training content.
- Personalized Messages — Generate custom video messages from a single photo.
- Content Localization — Dub content into different languages with matching lip movements.
- Social Media Content — Produce engaging talking-head videos without filming.
- E-learning & Training — Create instructor-led content from static presenter images.
- Digital Avatars — Bring character portraits and illustrations to life with speech.
Pro Tips for Best Results
- Use clear, front-facing portrait photos with good lighting for best lip sync accuracy.
- Ensure the face is clearly visible and not obscured by hair, accessories, or shadows.
- High-quality audio with minimal background noise produces more accurate synchronization.
- Neutral or slightly open mouth expressions in the source image work best.
- The subject’s face should be a reasonable size in the frame — not too small or cropped.
- Test with shorter audio clips first before processing longer content.
Notes
- If using URLs for image or audio, ensure they are publicly accessible.
- The enable_base64_output option is only available through the API.
- Processing time scales with audio duration.
- Best results come from portrait-style images with clear facial features.
- Works with various audio formats — speech, narration, singing, and more.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/avatar-omni-human" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The portrait image to animate, can be a URL or base64 encoded image. Better results with clear, front-facing portraits with good lighting. | |
| audio | string | Yes | - | - | Optional background audio for the generated video, can be a URL or base64 encoded audio file. |
| enable_base64_output | boolean | No | false | - | If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |