Enterprise: Text to Video Endpoint

• enterprise/system_details
• enterprise/restart_server
• enterprise/update_server
• enterprise/update_s3
• enterprise/clear_cache
• enterprise/schedulers_list
• enterprise/load_model
• enterprise/verify_model
• enterprise/get_all_models
• enterprise/delete_model
• enterprise/controlnet
• enterprise/text2img
• enterprise/text2video
• enterprise/text2video
• enterprise/inpaint
• enterprise/super_resolution
• enterprise/upload_image
• enterprise/sync_image
• enterprise/load_vae
• enterprise/nsfw_image_check
• enterprise/fetch_queue_image

Overview

This endpoint is used to create video from a text prompt based on trained or on public models.

Request

--request POST 'https://stablediffusionapi.com/api/v1/enterprise/text2video' \

Make a POST request to https://stablediffusionapi.com/api/v1/enterprise/text2video endpoint and pass the required parameters as a request body.

Body Attributes

Parameter	Description
key	Your enterprise API Key used for request authorization
model_id	The ID of the model to be used. It can be public or your trained model.
prompt	Text prompt with description of the things you want in the video to be generated
negative_prompt	Items you don't want in the vidoe
width	Max Height: Width: 1024x1024
height	Max Height: Width: 1024x1024
scheduler	Use it to set a scheduler.
num_inference_steps	Number of denoising steps (minimum: 1; maximum: 50)
enhance_prompt	Enhance prompts for better results; default: yes, options: yes/no
guidance_scale	Scale for classifier-free guidance (minimum: 1; maximum: 20)
strength	Prompt strength when using init image. 1.0 corresponds to full destruction of information in the init image.
seed	Seed is used to reproduce results, same seed will give you same result in return again. Pass null for a random number.
webhook	Set an URL to get a POST API call once the video generation is complete.
track_id	This ID is returned in the response to the webhook API call. This will be used to identify the webhook request.
loadbalancer	Enable load balancer; options: yes/no, default: no.

info

To use the load balancer, you need to have more than 1 server. Pass the first server's API key, and it will handle the load balancing with the other servers.

Schedulers

This endpoint also supports schedulers. Use the "scheduler" parameter in the request body to pass a specific scheduler from the list below:

• DDPMScheduler
• DDIMScheduler
• PNDMScheduler
• LMSDiscreteScheduler
• EulerDiscreteScheduler
• EulerAncestralDiscreteScheduler
• DPMSolverMultistepScheduler
• HeunDiscreteScheduler
• KDPM2DiscreteScheduler
• DPMSolverSinglestepScheduler
• KDPM2AncestralDiscreteScheduler
• UniPCMultistepScheduler
• DDIMInverseScheduler
• DEISMultistepScheduler
• IPNDMScheduler
• KarrasVeScheduler
• ScoreSdeVeScheduler
• LCMScheduler

Example

Body

Body

{
  "key": "enterprise_api_key",
  "model_id": "model_id",
  "prompt": "Girl smiling and sitting on bench, ultra HD video",
  "negative_prompt": "Low Quality",
  "width": "512",
  "height": "512",
  "scheduler": "UniPCMultistepScheduler",
  "num_inference_steps": "30",
  "enhance_prompt": "yes",
  "guidance_scale": 7.5,
  "strength": 0.7,
  "seed": null,
  "webhook": null,
  "track_id": null
}

Request

JS

var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
  "key": "",
  "model_id": "model_id",
  "prompt": "Girl smiling and sitting on bench, ultra HD video",
  "negative_prompt": "Low Quality",
  "width": "512",
  "height": "512",
  "scheduler": "UniPCMultistepScheduler",
  "num_inference_steps": "30",
  "enhance_prompt": "yes",
  "guidance_scale": 7.5,
  "strength": 0.7,
  "seed": null,
  "webhook": null,
  "track_id": null
});

var requestOptions = {
  method: 'POST',
  headers: myHeaders,
  body: raw,
  redirect: 'follow'
};

fetch("https://stablediffusionapi.com/api/v1/enterprise/text2video", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

PHP

<?php

$payload = [
  "key" => "", 
  "model_id" => "model_id", 
  "prompt" => "Girl smiling and sitting on bench, ultra HD video", 
  "negative_prompt" => "Low Quality", 
  "width" => "512", 
  "height" => "512", 
  "scheduler" => "UniPCMultistepScheduler", 
  "num_inference_steps" => "30", 
  "enhance_prompt" => "yes", 
  "guidance_scale" => 7.5, 
  "strength" => 0.7, 
  "seed" => null, 
  "webhook" => null, 
  "track_id" => null 
];

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://stablediffusionapi.com/api/v1/enterprise/text2video',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => json_encode($payload),
  CURLOPT_HTTPHEADER => array(
    'Content-Type: application/json'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

NODE

var request = require('request');
var options = {
  'method': 'POST',
  'url': 'https://stablediffusionapi.com/api/v1/enterprise/text2video',
  'headers': {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "key": "",
    "model_id": "model_id",
    "prompt": "Girl smiling and sitting on bench, ultra HD video",
    "negative_prompt": "Low Quality",
    "width": "512",
    "height": "512",
    "scheduler": "UniPCMultistepScheduler",
    "num_inference_steps": "30",
    "enhance_prompt": "yes",
    "guidance_scale": 7.5,
    "strength": 0.7,
    "seed": null,
    "webhook": null,
    "track_id": null
  })
};

request(options, function (error, response) {
  if (error) throw new Error(error);
  console.log(response.body);
});

PYTHON

import requests
import json

url = "https://stablediffusionapi.com/api/v1/enterprise/text2video"

payload = json.dumps({
  "key": "",
  "model_id": "model_id",
  "prompt": "Girl smiling and sitting on bench, ultra HD video",
  "negative_prompt": "Low Quality",
  "width": "512",
  "height": "512",
  "scheduler": "UniPCMultistepScheduler",
  "num_inference_steps": "30",
  "enhance_prompt": "yes",
  "guidance_scale": 7.5,
  "strength": 0.7,
  "seed": None,
  "webhook": None,
  "track_id": None
})

headers = {
  'Content-Type': 'application/json'
}

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

print(response.text)

JAVA

OkHttpClient client = new OkHttpClient().newBuilder()
  .build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\n    \"key\": \"\",\n    \"model_id\": \"model_id\",\n    \"prompt\": \"Girl smiling and sitting on bench, ultra HD video\",\n    \"negative_prompt\": \"Low Quality\",\n    \"width\": \"512\",\n    \"height\": \"512\",\n    \"scheduler\": \"UniPCMultistepScheduler\",\n    \"num_inference_steps\": \"30\",\n    \"enhance_prompt\": \"yes\",\n    \"guidance_scale\": 7.5,\n    \"strength\": 0.7,\n    \"seed\": null,\n    \"webhook\": null,\n    \"track_id\": null\n}");
Request request = new Request.Builder()
  .url("https://stablediffusionapi.com/api/v1/enterprise/text2video")
  .method("POST", body)
  .addHeader("Content-Type", "application/json")
  .build();
Response response = client.newCall(request).execute();

Response

{
    "status": "success",
    "generationTime": 8.905120134353638,
    "id": 14933666,
    "output": [
        "https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/f15581f8-710f-4716-89c6-72b417972337.mp4"
    ]
}