# Novita AI Text-to-Video API | Transform Text Descriptions into Dynamic Videos

> Leverage the Novita AI Text-to-Video API to transform textual descriptions into engaging videos. This asynchronous API interprets and visualizes input text to create dynamic video content ideal for content creation, enhancing understanding and entertainment value. Authenticate your requests with API keys, manageable via the Novita AI Dashboard. Explore comprehensive API documentation and examples.

> For the complete documentation index, see [llms.txt](/llms.txt). Markdown is available with `Accept: text/markdown` and `.md` URL variants.

Source: /docs/api-reference/model-apis-txt2video

# Text to Video

POST

/

v3

/

async

/

txt2video

Try it

Text to Video

cURL

```
curl --request POST \
--url https://api.novita.ai/v3/async/txt2video \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>' \
--data '
{
"extra": {
"response_video_type": "<string>",
"webhook": {
"url": "<string>",
"test_mode": {
"enabled": true,
"return_task_status": "<string>"
}
},
"enterprise_plan": {
"enabled": true
}
},
"model_name": "<string>",
"height": 123,
"width": 123,
"steps": 123,
"prompts": [
{
"frames": 123,
"prompt": "<string>"
}
],
"negative_prompt": "<string>",
"guidance_scale": 123,
"seed": 123,
"loras": [
{
"model_name": "<string>",
"strength": 123
}
],
"embeddings": [
{
"model_name": "<string>"
}
],
"closed_loop": true,
"clip_skip": 123
}
'
```

200

```
{
"task_id": "<string>"
}
```

This API transforms textual descriptions into dynamic videos. By interpreting and visualizing the input text, it creates engaging video content that corresponds to the described scenarios, events, or narratives. This capability is ideal for content creation where the visual representation of text-based information enhances understanding or entertainment value.

This is an asynchronous API; only the task_id will be returned. You should use the task_id to request the [Task Result API](/docs/api-reference/model-apis-task-result) to retrieve the video generation results.

##

[​](#request-headers)

Request Headers

[​](#param-content-type)

Content-Type

string

required

Enum: `application/json`

[​](#param-authorization)

Authorization

string

required

Bearer authentication format, for example: Bearer {{API Key}}.

##

[​](#request-body)

Request Body

[​](#param-extra)

extra

object

Optional extra parameters for the request.

Show properties

[​](#param-response-video-type)

response_video_type

string

The returned video type. Default is mp4.

Enum: `mp4`, `gif`

[​](#param-webhook)

webhook

object

Webhook settings. More details can be found at [Webhook Documentation](/docs/api-reference/model-apis-webhook).

Show properties

[​](#param-url)

url

string

required

The URL of the webhook endpoint. Novita AI will send the task generated outputs to your specified webhook endpoint.

[​](#param-test-mode)

test_mode

object

By specifying Test Mode, a mock event will be sent to the webhook endpoint.

Show properties

[​](#param-enabled)

enabled

boolean

required

Set to true to enable Test Mode, or false to disable it. The default is false.

[​](#param-return-task-status)

return_task_status

string

required

Control the data content of the mock event. When set to TASK_STATUS_SUCCEED, you’ll receive a normal response; when set to TASK_STATUS_FAILED, you’ll receive an error response.

Enum: `TASK_STATUS_SUCCEED`, `TASK_STATUS_FAILED`

[​](#param-enterprise-plan)

enterprise_plan

object

Dedicated Endpoints settings, which only take effect for users who have already subscribed to the [Dedicated Endpoints Documentation](/docs/guides/model-apis-dedicated-endpoints).

Show properties

[​](#param-enabled-1)

enabled

boolean

Set to true to schedule this task to use your Dedicated Endpoints’s dedicated resources. Default is false.

[​](#param-model-name)

model_name

string

required

Name of SD1.x checkpoints; this parameter specifies the name of the model checkpoint. Retrieve the corresponding sd_name value by invoking the [Query Model](/api-reference/model-apis-get-model) API with filter.types=checkpoint as the query parameter.

[​](#param-height)

height

integer

required

Height of the video, range [256, 1024]

[​](#param-width)

width

integer

required

Width of the video, range [256, 1024]

[​](#param-steps)

steps

integer

required

The number of denoising steps. More steps usually produce higher quality content but take more time to generate. Range [1, 50]

[​](#param-prompts)

prompts

object[]

required

The total number of frames in prompts must be less than or equal to 128, where the total number of frames is the cumulative sum of all prompt frames.

Hide properties

[​](#param-frames)

frames

integer

required

Frames of this video clip, Range [8, 64]

[​](#param-prompt)

prompt

string

required

Text input required to guide the generation, separated by `,`, Range [1, 1024].

[​](#param-negative-prompt)

negative_prompt

string

Text input that will not guide the generation, separated by `,`, Range [1, 1024].

[​](#param-guidance-scale)

guidance_scale

number

This setting determines how closely Stable Diffusion will adhere to your prompt. Higher guidance forces the model to better follow the prompt but may result in lower quality output. Range [1, 30].

[​](#param-seed)

seed

integer

A seed is a number from which Stable Diffusion generates noise, which, makes generation deterministic. Using the same seed and set of parameters will produce identical content each time, minimum -1. Defaults to -1.

[​](#param-loras)

loras

object[]

LoRA is a fast and lightweight training method that inserts and trains a significantly smaller number of parameters instead of all the model parameters. Currently supports up to 5 LoRAs.

Show properties

[​](#param-model-name-1)

model_name

string

required

Name of lora, retrieve the corresponding sd_name_in_api value by invoking the [Get Model API](/api-reference/model-apis-get-model) endpoint with filter.types=lora as the query parameter.

[​](#param-strength)

strength

number

required

The strength value of lora. The larger the value, the more biased the effect is towards lora, Range [0, 1]

[​](#param-embeddings)

embeddings

object[]

Textual Inversion is a training method for personalizing models by learning new text embeddings from a few example images, currently supports up to 5 embeddings.

Show properties

[​](#param-model-name-2)

model_name

string

required

Name of textual Inversion model, you can call the [Get Model API](/api-reference/model-apis-get-model) endpoint with parameter filter.types=textualinversion to retrieve the sd_name_in_api field as the model_name.

[​](#param-closed-loop)

closed_loop

boolean

The closed_loop parameter controls the behavior of an animation when it loops. Specifically, it determines whether the last frame of the animation will transition smoothly back to the first frame.

[​](#param-clip-skip)

clip_skip

integer

This parameter indicates the number of layers to stop from the bottom during optimization, so clip_skip on 2 would mean, that in SD1.x model where the CLIP has 12 layers, you would stop at 10th layer, Range [1, 12], get reference at [A brief introduction to Clip Skip](/docs/guides/model-apis-clip-skip).

##

[​](#response)

Response

[​](#param-task-id)

task_id

string

Use the task_id to request the [Task Result API](/docs/api-reference/model-apis-task-result) to retrieve the generated outputs.

##

[​](#example)

Example

This API helps generate videos from text. The returned video can be accessed via the API `/v3/async/task-result` using the `task_id`.
Try it in [playground](https://novita.ai/playground#txt2video).
`Request:`

```
curl --location 'https://api.novita.ai/v3/async/txt2video' \
--header 'Authorization: Bearer {{API Key}}' \
--header 'Content-Type: application/json' \
--data '{
"model_name": "darkSushiMixMix_225D_64380.safetensors",
"height": 512,
"width": 512,
"steps": 20,
"seed": -1,
"prompts": [
{
"frames": 32,
"prompt": "In the wintry dusk, a little girl holds matches tightly."
},
{
"frames": 32,
"prompt": "A little girl, barefoot on the frosty pavement, seeks solace."
},
{
"frames": 32,
"prompt": "A little girl with each match experiences a fleeting dance of warmth and hope."
},
{
"frames": 32,
"prompt": "In the quiet night, a little girl's silent story unfolds."
}
],
"negative_prompt": "nsfw, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), watermark"
}'
```

`Response:`

```
{
"task_id": "fa20dff3-18cb-4417-a7f8-269456a35154"
}
```

Use `task_id` to get images
HTTP status codes in the 2xx range indicate that the request has been successfully accepted, while status codes in the 5xx range indicate internal server errors.
You can get videos url in `videos` of response.
`Request:`

```
curl --location --request GET 'https://api.novita.ai/v3/async/task-result?task_id=fa20dff3-18cb-4417-a7f8-269456a35154' \
--header 'Authorization: Bearer {{API Key}}'
```

`Response:`

```
{
"task": {
"task_id": "fa20dff3-18cb-4417-a7f8-269456a35154",
"task_type": "TXT_TO_VIDEO",
"status": "TASK_STATUS_SUCCEED",
"reason": "",
"eta": 0,
"progress_percent": 100
},
"images": [],
"videos": [
{
"video_url": "https://faas-output-video.s3.ap-southeast-1.amazonaws.com/test/61bc0452-03a5-4e5b-ba78-2dbd3db6cc7d/99a87dec55c6431189aff4bad39fb4a0.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASVPYCN6LRCW3SOUV%2F20231219%2Fap-southeast-1%2Fs3%2Faws4_request&X-Amz-Date=20231219T143829Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=3b828cd8e72d9e83eb625e5e175defbfbcfc97acf4a605dc83588ae949b698b4",
"video_url_ttl": "3600",
"video_type": "mp4"
}
]
}
```

`Video files:`

Last modified on September 5, 2025