seedance-1-5-pro-251215 (Image To Video)

curl --location 'https://gptproto.com/api/v3/contents/generations/tasks' \
--header 'Authorization: GPTPROTO_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
  "model": "seedance-1-5-pro-251215",
  "content": [
    {
      "type": "text",
      "text": "A girl holding a fox, gentle breeze blowing through her hair, golden sunset light, cinematic, shallow depth of field"
    },
    {
      "type": "image_url",
      "image_url": {
        "url": "https://tos.gptproto.com/resource/cat.png"
      }
    }
  ],
  "generate_audio": true
}'

const axios = require('axios');
let data = JSON.stringify({
  "model": "seedance-1-5-pro-251215",
  "content": [
    {
      "type": "text",
      "text": "A girl holding a fox, gentle breeze blowing through her hair, golden sunset light, cinematic, shallow depth of field"
    },
    {
      "type": "image_url",
      "image_url": {
        "url": "https://tos.gptproto.com/resource/cat.png"
      }
    }
  ],
  "generate_audio": true
});

let config = {
  method: 'post',
  maxBodyLength: Infinity,
  url: 'https://gptproto.com/api/v3/contents/generations/tasks',
  headers: { 
    'Authorization': 'GPTPROTO_API_KEY', 
    'Content-Type': 'application/json'
  },
  data : data
};

axios.request(config)
.then((response) => {
  console.log(JSON.stringify(response.data));
})
.catch((error) => {
  console.log(error);
});

import requests
import json

url = "https://gptproto.com/api/v3/contents/generations/tasks"

payload = json.dumps({
  "model": "seedance-1-5-pro-251215",
  "content": [
    {
      "type": "text",
      "text": "A girl holding a fox, gentle breeze blowing through her hair, golden sunset light, cinematic, shallow depth of field"
    },
    {
      "type": "image_url",
      "image_url": {
        "url": "https://tos.gptproto.com/resource/cat.png"
      }
    }
  ],
  "generate_audio": True
})
headers = {
  'Authorization': 'GPTPROTO_API_KEY',
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

package main

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

func main() {

  url := "https://gptproto.com/api/v3/contents/generations/tasks"
  method := "POST"

  payload := strings.NewReader(`{
  "model": "seedance-1-5-pro-251215",
  "content": [
    {
      "type": "text",
      "text": "A girl holding a fox, gentle breeze blowing through her hair, golden sunset light, cinematic, shallow depth of field"
    },
    {
      "type": "image_url",
      "image_url": {
        "url": "https://tos.gptproto.com/resource/cat.png"
      }
    }
  ],
  "generate_audio": true
}`)

  client := &http.Client {
  }
  req, err := http.NewRequest(method, url, payload)

  if err != nil {
    fmt.Println(err)
    return
  }
  req.Header.Add("Authorization", "GPTPROTO_API_KEY")
  req.Header.Add("Content-Type", "application/json")

  res, err := client.Do(req)
  if err != nil {
    fmt.Println(err)
    return
  }
  defer res.Body.Close()

  body, err := io.ReadAll(res.Body)
  if err != nil {
    fmt.Println(err)
    return
  }
  fmt.Println(string(body))
}

curl -X GET "https://gptproto.com/api/v3/contents/generations/tasks/{id}" \
  -H "Authorization: GPTPROTO_API_KEY" \
  -H "Content-Type: application/json"

import requests
import json

url = "https://gptproto.com/api/v3/contents/generations/tasks/{id}"
headers = {
    "Authorization: GPTPROTO_API_KEY",
    "Content-Type": "application/json"
}

response = requests.get(url, headers=headers)
result = response.json()
print(json.dumps(result, indent=2))

const url = "https://gptproto.com/api/v3/contents/generations/tasks/{id}";
const headers = {
  "Authorization: GPTPROTO_API_KEY",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "GET",
  headers: headers
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

package main

import (
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://gptproto.com/api/v3/contents/generations/tasks/{id}"

    req, _ := http.NewRequest("GET", url, nil)
    req.Header.Set("Authorization", "GPTPROTO_API_KEY")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

{
    "content": [
        {
            "type": "text",
            "text": "Multiple shots. A detective enters a dimly lit room. He examines the clues on the table and picks up an item. The camera shifts to him deep in thought. --ratio 16:9"
        }
    ]
}

{
    "content": [
        {
            "type": "text",
            "text": "A girl holding a fox opens her eyes and looks gently at the camera. The fox is held affectionately. The camera slowly pulls back as the girl's hair is blown by the wind. Wind sounds can be heard. --ratio adaptive --dur 5"
        },
        {
            "type": "image_url",
            "image_url": {
                "url": "https://ark-project.tos-cn-beijing.volces.com/doc_image/i2v_foxrgirl.png"
            }
        }
    ],
}

{
    "model": "doubao-seedance-1-5-pro-251215",
    "content": [
         {
            "type": "text",
            "text": "The girl in the picture says 'cheese' to the camera with 360-degree surrounding camera movement"
        },
        {
            "type": "image_url",
            "image_url": {
                "url": "https://ark-project.tos-cn-beijing.volces.com/doc_image/seepro_first_frame.jpeg"
            },
            "role": "first_frame"
        },
        {
            "type": "image_url",
            "image_url": {
                "url": "https://ark-project.tos-cn-beijing.volces.com/doc_image/seepro_last_frame.jpeg"
            },
            "role": "last_frame"
        }
    ],
    "generate_audio": true
}

{
    "content": [
         {
            "type": "text",
            "text": "[Image 1] A boy wearing glasses and a blue T-shirt with [Image 2] a corgi puppy, sitting on [Image 3] a lawn, in 3D cartoon style"
        },
        {
            "type": "image_url",
            "image_url": {
                "url": "https://ark-project.tos-cn-beijing.volces.com/doc_image/seelite_ref_1.png"
            },
            "role": "reference_image"
        },
        {
            "type": "image_url",
            "image_url": {
                "url": "https://ark-project.tos-cn-beijing.volces.com/doc_image/seelite_ref_2.png"
            },
            "role": "reference_image"
        },
        {
            "type": "image_url",
            "image_url": {
                "url": "https://ark-project.tos-cn-beijing.volces.com/doc_image/seelite_ref_3.png"
            },
            "role": "reference_image"
        }
    ]
}