Text-to-Video Price Calculation

cURL

curl --request POST \
  --url https://api.deapi.ai/api/v1/client/txt2video/price-calculation \
  --header 'Accept: <accept>' \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "width": 512,
  "height": 512,
  "steps": 1,
  "frames": 120,
  "fps": 30,
  "model": "Ltxv_13B_0_9_8_Distilled_FP8"
}
'

import requests

url = "https://api.deapi.ai/api/v1/client/txt2video/price-calculation"

payload = {
    "width": 512,
    "height": 512,
    "steps": 1,
    "frames": 120,
    "fps": 30,
    "model": "Ltxv_13B_0_9_8_Distilled_FP8"
}
headers = {
    "Accept": "<accept>",
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {
    Accept: '<accept>',
    Authorization: 'Bearer <token>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    width: 512,
    height: 512,
    steps: 1,
    frames: 120,
    fps: 30,
    model: 'Ltxv_13B_0_9_8_Distilled_FP8'
  })
};

fetch('https://api.deapi.ai/api/v1/client/txt2video/price-calculation', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.deapi.ai/api/v1/client/txt2video/price-calculation",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'width' => 512,
    'height' => 512,
    'steps' => 1,
    'frames' => 120,
    'fps' => 30,
    'model' => 'Ltxv_13B_0_9_8_Distilled_FP8'
  ]),
  CURLOPT_HTTPHEADER => [
    "Accept: <accept>",
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.deapi.ai/api/v1/client/txt2video/price-calculation"

	payload := strings.NewReader("{\n  \"width\": 512,\n  \"height\": 512,\n  \"steps\": 1,\n  \"frames\": 120,\n  \"fps\": 30,\n  \"model\": \"Ltxv_13B_0_9_8_Distilled_FP8\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Accept", "<accept>")
	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.deapi.ai/api/v1/client/txt2video/price-calculation")
  .header("Accept", "<accept>")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"width\": 512,\n  \"height\": 512,\n  \"steps\": 1,\n  \"frames\": 120,\n  \"fps\": 30,\n  \"model\": \"Ltxv_13B_0_9_8_Distilled_FP8\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.deapi.ai/api/v1/client/txt2video/price-calculation")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Accept"] = '<accept>'
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"width\": 512,\n  \"height\": 512,\n  \"steps\": 1,\n  \"frames\": 120,\n  \"fps\": 30,\n  \"model\": \"Ltxv_13B_0_9_8_Distilled_FP8\"\n}"

response = http.request(request)
puts response.read_body

{
  "data": {
    "price": 0.15
  }
}

{
  "data": {},
  "message": "<string>",
  "errors": [
    "<unknown>"
  ],
  "statusCode": 123
}

{
  "data": {},
  "message": "<string>",
  "errors": [
    "<unknown>"
  ],
  "statusCode": 123
}

{
  "message": "The selected model does not support Text To Image.",
  "errors": {
    "model": [
      "The selected model does not support Text To Image."
    ]
  }
}

{
  "message": "Too Many Attempts."
}

POST

api

client

txt2video

price-calculation

cURL

curl --request POST \
  --url https://api.deapi.ai/api/v1/client/txt2video/price-calculation \
  --header 'Accept: <accept>' \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "width": 512,
  "height": 512,
  "steps": 1,
  "frames": 120,
  "fps": 30,
  "model": "Ltxv_13B_0_9_8_Distilled_FP8"
}
'

import requests

url = "https://api.deapi.ai/api/v1/client/txt2video/price-calculation"

payload = {
    "width": 512,
    "height": 512,
    "steps": 1,
    "frames": 120,
    "fps": 30,
    "model": "Ltxv_13B_0_9_8_Distilled_FP8"
}
headers = {
    "Accept": "<accept>",
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {
    Accept: '<accept>',
    Authorization: 'Bearer <token>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    width: 512,
    height: 512,
    steps: 1,
    frames: 120,
    fps: 30,
    model: 'Ltxv_13B_0_9_8_Distilled_FP8'
  })
};

fetch('https://api.deapi.ai/api/v1/client/txt2video/price-calculation', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.deapi.ai/api/v1/client/txt2video/price-calculation",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'width' => 512,
    'height' => 512,
    'steps' => 1,
    'frames' => 120,
    'fps' => 30,
    'model' => 'Ltxv_13B_0_9_8_Distilled_FP8'
  ]),
  CURLOPT_HTTPHEADER => [
    "Accept: <accept>",
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.deapi.ai/api/v1/client/txt2video/price-calculation"

	payload := strings.NewReader("{\n  \"width\": 512,\n  \"height\": 512,\n  \"steps\": 1,\n  \"frames\": 120,\n  \"fps\": 30,\n  \"model\": \"Ltxv_13B_0_9_8_Distilled_FP8\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Accept", "<accept>")
	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.deapi.ai/api/v1/client/txt2video/price-calculation")
  .header("Accept", "<accept>")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"width\": 512,\n  \"height\": 512,\n  \"steps\": 1,\n  \"frames\": 120,\n  \"fps\": 30,\n  \"model\": \"Ltxv_13B_0_9_8_Distilled_FP8\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.deapi.ai/api/v1/client/txt2video/price-calculation")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Accept"] = '<accept>'
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"width\": 512,\n  \"height\": 512,\n  \"steps\": 1,\n  \"frames\": 120,\n  \"fps\": 30,\n  \"model\": \"Ltxv_13B_0_9_8_Distilled_FP8\"\n}"

response = http.request(request)
puts response.read_body

{
  "data": {
    "price": 0.15
  }
}

{
  "data": {},
  "message": "<string>",
  "errors": [
    "<unknown>"
  ],
  "statusCode": 123
}

{
  "data": {},
  "message": "<string>",
  "errors": [
    "<unknown>"
  ],
  "statusCode": 123
}

{
  "message": "The selected model does not support Text To Image.",
  "errors": {
    "model": [
      "The selected model does not support Text To Image."
    ]
  }
}

{
  "message": "Too Many Attempts."
}

API v1 is deprecated. This version is no longer being developed — new endpoints, parameters and models are added to v2 only. Use the v2 endpoints to stay current: v2 API documentation.

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Headers

enum<string>

default:application/json

required

Available options:

application/json

Body

application/json

Text to video conversion parameters

width

integer

required

Width of the generated video in pixels

Example:

512

height

integer

required

Height of the generated video in pixels

Example:

512

steps

integer

required

Number of inference steps. The accepted range is model-specific - read info.limits.min_steps / info.limits.max_steps for your model from the Model Selection endpoint before sending the request; a value outside that range is rejected with 422. For the example model Ltxv_13B_0_9_8_Distilled_FP8 the only accepted value is 1.

Required range: x >= 1

Example:

1

frames

integer

required

Number of video frames to generate. The accepted range is model-specific - read info.limits.min_frames / info.limits.max_frames for your model from the Model Selection endpoint before sending the request; a value outside that range is rejected with 422. For the example model Ltxv_13B_0_9_8_Distilled_FP8 the allowed range is 30-120 (default 120).

Required range: x >= 1

Example:

120

fps

integer

required

FPS of generated video. The accepted range is model-specific - read info.limits.min_fps / info.limits.max_fps for your model from the Model Selection endpoint before sending the request; a value outside that range is rejected with 422. For the example model Ltxv_13B_0_9_8_Distilled_FP8 the only accepted value is 30.

Required range: x >= 1

Example:

30

model

string

required

The model to use for video generation. Available models can be retrieved via the GET /api/v1/client/models endpoint.

Example:

"Ltxv_13B_0_9_8_Distilled_FP8"

Response

Calculated price for txt2video inference.

data

object

Show child attributes

Overview

Generation

Analysis

Transformation

Prompt Enhancement

Utilities

Text-to-Video Price Calculation

Authorizations

Headers

Body

Response