veed/avatars/text-to-video
Avatars is VEED's text-to-video AI model. Turn written scripts and prompts into professional-quality video clips with realistic motion, lighting, and scene composition.
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runveed/avatars/text-to-videoInput Schema
2 parameters · 0 required · 2 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
text | string | Optional | — |
avatar_id | string | Optional | The avatar to use for the video · Options: emily_vertical_primary, emily_vertical_secondary, marcus_vertical_primary, marcus_vertical_secondary, mira_vertical_primary, mira_vertical_secondary, jasmine_vertical_primary, jasmine_vertical_secondary, jasmine_vertical_walking, aisha_vertical_walking, elena_vertical_primary, elena_vertical_secondary, any_male_vertical_primary, any_female_vertical_primary, any_male_vertical_secondary, any_female_vertical_secondary, any_female_vertical_walking, emily_primary, emily_side, marcus_primary, marcus_side, aisha_walking, elena_primary, elena_side, any_male_primary, any_female_primary, any_male_side, any_female_side emily_vertical_primaryemily_vertical_secondarymarcus_vertical_primarymarcus_vertical_secondarymira_vertical_primarymira_vertical_secondaryjasmine_vertical_primaryjasmine_vertical_secondaryjasmine_vertical_walkingaisha_vertical_walkingelena_vertical_primaryelena_vertical_secondaryany_male_vertical_primaryany_female_vertical_primaryany_male_vertical_secondaryany_female_vertical_secondaryany_female_vertical_walkingemily_primaryemily_sidemarcus_primarymarcus_sideaisha_walkingelena_primaryelena_sideany_male_primaryany_female_primaryany_male_sideany_female_side |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "veed/avatars/text-to-video",
"text": "\nEver wondered how to get that flawless glow? \nIntroducing our new skincare line, designed for real life. \nStep one: Cleanse with our gentle, nourishing formula. \nStep two: Apply our hydrating serum for that dewy look. \nStep three: Lock it in with our lightweight moisturizer. \nFeel the difference with every application. \nSee the glow? That's the magic of our skincare. \nUse code 'GLOW20' for an exclusive discount. \nJoin the skincare revolution today!\n",
"prompt": "a beautiful sunset over mountains"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
VEED Avatars Text to Video
VEED Avatars Text to Video addresses the veed/avatars/text-to-video workflow for text to video work in video production. Avatars is VEED's text-to-video AI model. Turn written scripts and prompts into professional-quality video clips with realistic motion, lighting, and scene composition. Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. The endpoint is especially useful when a project has a defined transformation goal and needs a repeatable request contract instead of an ad-hoc desktop step. Because veed/avatars/text-to-video is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. Those strengths describe this precise catalog entry rather than its siblings.
VEED Avatars Text to Video exposes text, avatar_id as its documented request surface. avatar id controls the avatar to use for the video; avatar id accepts emily_vertical_primary, emily_vertical_secondary, marcus_vertical_primary, marcus_vertical_secondary, mira_vertical_primary, mira_vertical_secondary, jasmine_vertical_primary, jasmine_vertical_secondary, jasmine_vertical_walking, aisha_vertical_walking, elena_vertical_primary, elena_vertical_secondary, any_male_vertical_primary, any_female_vertical_primary, any_male_vertical_secondary, any_female_vertical_secondary, any_female_vertical_walking, emily_primary, emily_side, marcus_primary, marcus_side, aisha_walking, elena_primary, elena_side, any_male_primary, any_female_primary, any_male_side, any_female_side. The mandatory portion is no mandatory fields declared by the schema. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing. For example, the route documentation includes “
Ever wondered how to get that flawless glow?
Introducing our new skincare line, designed for real life.
Step one: Cleanse with our gentle, nourishing formula.
Step two: Apply our hydrating serum for that dewy look.
Step three: Lock it in with our lightweight moisturizer.
Feel the difference with every application.
See the glow? That's the magic of our”.
Highlights
- Portrait animation. VEED Avatars Text to Video turns a supplied person image or avatar asset into a moving on-camera performance.
- Speech-led facial motion. Audio or written dialogue drives mouth movement and expressive timing for a more convincing presenter result.
- Recognizable identity. The workflow uses the source portrait as its anchor so the generated performance retains the intended subject.
- Presenter-content workflow. It fits explainers, announcements, localized clips, and character-led media that do not require filming each delivery.
Pricing
| Billing option | Price |
|---|---|
| Per request | $0.000575 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose VEED Avatars Text to Video | Use it when the job specifically calls for text to video and the route’s documented input contract matches assets already available in your workflow. |
| Keep the request reproducible | Use the required inputs explicitly, then record optional choices alongside the prompt for repeatable reruns. |
| Build controlled creative variations | Change one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions. |
| Integrate asynchronous delivery | Use this endpoint when an application can submit work, track completion, and collect the returned media URL instead of requiring an immediate inline artifact. |
| Validate before a large batch | Run representative prompts and source assets first, confirm the visual or audio behavior, then lock the successful request shape for scaled production. |
Prompt Guide
Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for veed/avatars/text-to-video.
{
"avatar_id": "emily_vertical_primary"
}
Technical Specs
| Specification | Details |
|---|---|
| Model ID | veed/avatars/text-to-video |
| Execution mode | async |
| Task type | video |
text | string · optional |
avatar_id | string · optional · choices: emily_vertical_primary, emily_vertical_secondary, marcus_vertical_primary, marcus_vertical_secondary, mira_vertical_primary, mira_vertical_secondary, jasmine_vertical_primary, jasmine_vertical_secondary, jasmine_vertical_walking, aisha_vertical_walking, elena_vertical_primary, elena_vertical_secondary, any_male_vertical_primary, any_female_vertical_primary, any_male_vertical_secondary, any_female_vertical_secondary, any_female_vertical_walking, emily_primary, emily_side, marcus_primary, marcus_side, aisha_walking, elena_primary, elena_side, any_male_primary, any_female_primary, any_male_side, any_female_side |