LTX 2.3 Quality — Audio to Video with LoRA

Generate high-quality video with audio from audio, text and images using LTX-2.3 and custom LoRA

Input

Add your inputs and customize the generation settings.

The prompt to guide the audio-driven video generation.
Upload, drag and drop, or paste a public URL.

The URL of the audio track that drives generation.
Upload, drag and drop, or paste a public URL.
Selected image

Optional URL of an image to use as the first frame. When omitted, generation runs from text and audio only.
LoRAs *
Up to 3 LoRAs to apply on top of LTX-2.3. Each path is downloaded through the registry SSRF-safe downloader before it is loaded. Max size: 3 GB per LoRA.

Customize your input with more control.

Calculate credits for your selected settings before generating.

Result & Pricing

Video output — your generated video will appear here.

Your video will appear here

Choose your inputs and customize your settings.

Model pricing (tax excluded) per generated video megapixel

SpecificationWebot INR
Rate₹0.32
Calculate credits in the input panel for your selected settings.

Prices, estimates and credit deductions exclude tax. Any applicable tax is charged only when you buy plans or credits.

Detail-pass cost factor: ×4. Prices are converted to INR. Credits use your current plan rate.

  • Prices shown are estimates, not final charges. Final billing details will be available in Reports after generation is complete.

API

WEBOT API · Audio to Video with LoRA

Generate from your server with your WEBOT account credits.

Use your 120-character WEBOT customer key (a–z, A–Z, 0–9). Send Authorization: Bearer YOUR_KEY. Keys are secrets: call from a server, never from public frontend code. Results come from verified webhooks and remain saved if your stream disconnects.
1. Configure your server
WEBOT_BASE_URL=https://webot.online
WEBOT_API_KEY=<your-server-side-WEBOT-key>

This base URL is resolved from verified domain mappings and your direct creator reseller. Forwarded Host headers are not trusted. New custom reseller domains need DNS, TLS and platform verification before activation.

2. Quote, then generate
MethodEndpointPurpose
POSThttps://webot.online/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quoteValidate input and calculate credits (no deduction).
POSThttps://webot.online/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requestsReserve quoted credits and queue an asynchronous job.
GEThttps://webot.online/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests/{request_id}/resultRead your saved result: 202 pending, 200 terminal.
GEThttps://webot.online/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests/{request_id}/eventsAuthenticated SSE: generation / terminal events.

Send JSON {"input":{…}} to quote. Send the same input plus integer quoted_credits to generate, with Authorization: Bearer … and Idempotency-Key. Use a unique 16–128 character key per new job; persist it and reuse the same key and input on any uncertain response. Never retry with a new key: that creates a second chargeable job.

Credits are reserved only after validation and a durable request is saved. A changed quote or insufficient balance returns 409. Credits exclude purchase taxes. The quoted amount is an initial reservation. After generation, the final charge replaces it using confirmed usage. Any verified unused allocation becomes available automatically; additional usage may require more credits. Missing billing stays pending, including for failed jobs.

3. Input example

Save this as input.json. Replace sample prompts, files and media URLs with your own. Schemas do not guarantee provider acceptance of the content.

{
    "loras": [
        {
            "path": "https://example.com/source.png",
            "scale": 1,
            "transformer": "both"
        }
    ],
    "prompt": "Audit sample text",
    "audio_url": "https://example.com/audio.mp3",
    "resolution": {
        "width": 1024,
        "height": 576
    },
    "video_quality": "high",
    "num_inference_steps": 15,
    "guidance_scale": 1,
    "enable_safety_checker": true,
    "sync_mode": false,
    "enable_prompt_expansion": true,
    "video_write_mode": "balanced",
    "frames_per_second": 24,
    "image_strength": 0.7,
    "generate_audio": true,
    "num_frames": 121,
    "match_audio_length": true,
    "negative_prompt": "color distortion, overexposure, static, blurry details, subtitles, style, artwork, painting, frame, still, dim overall tone, worst quality, low quality, JPEG compression artifacts, ugly, mutilated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, motionless frame, cluttered background, three legs, crowded background, walking backwards"
}
4. Language examples
# Save the model's example input as input.json, then replace prompts/media URLs.
# Requires curl and jq. Store NONCE once for this job; reuse it on any retry.
export NONCE="$(openssl rand -hex 16)"
BASE="${WEBOT_BASE_URL%/}"
jq -n --slurpfile input input.json '{input:$input[0]}' > quote-body.json
curl --fail-with-body -sS "$BASE/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote" \
  -H "Authorization: Bearer $WEBOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @quote-body.json > quote.json
CREDITS=$(jq -er '.quote.credits_consumed' quote.json)
jq --argjson credits "$CREDITS" '. + {quoted_credits:$credits}' quote-body.json > request-body.json
curl --fail-with-body -sS "$BASE/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests" \
  -H "Authorization: Bearer $WEBOT_API_KEY" -H "Idempotency-Key: $NONCE" \
  -H 'Content-Type: application/json' --data-binary @request-body.json > job.json
# Subscribe; after a nonterminal disconnect, reconnect this SAME URL.
curl --fail-with-body -N "$(jq -er '.events_url' job.json)" -H "Authorization: Bearer $WEBOT_API_KEY"
# Read saved output after terminal notification (never call provider status/results).
curl --fail-with-body -sS "$(jq -er '.result_url' job.json)" -H "Authorization: Bearer $WEBOT_API_KEY"
// Node.js 18+. Save your customized input in input.json.
import { readFileSync } from 'node:fs';
import { randomUUID } from 'node:crypto';
const base = process.env.WEBOT_BASE_URL.replace(/\/$/, '');
const key = process.env.WEBOT_API_KEY;
const input = JSON.parse(readFileSync('input.json', 'utf8'));
const nonce = process.env.WEBOT_JOB_NONCE || randomUUID(); // Persist before submission.
async function post(path, body, nonce) {
  const response = await fetch(base + path, {method:'POST', headers:{
    Authorization:`Bearer ${key}`, 'Content-Type':'application/json',
    ...(nonce ? {'Idempotency-Key':nonce} : {})}, body:JSON.stringify(body)});
  const json = await response.json();
  if (!response.ok) throw new Error(JSON.stringify(json));
  return json;
}
const {quote} = await post('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote', {input});
const job = await post('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests', {input, quoted_credits:quote.credits_consumed}, nonce);
console.log(job); // Stable WEBOT request_id, events_url, result_url.
// Stream saved webhook state. Reconnect ONLY the event stream, not the generation.
while (!job.terminal || job.financial_pending) {
  const stream = await fetch(job.events_url, {headers:{Authorization:`Bearer ${key}`}});
  if (!stream.ok) throw new Error(`Event stream HTTP ${stream.status}`);
  let buffer = '';
  for await (const chunk of stream.body.pipeThrough(new TextDecoderStream())) {
    buffer += chunk;
    let end;
    while ((end = buffer.indexOf('\n\n')) !== -1) {
      const event = buffer.slice(0, end); buffer = buffer.slice(end + 2);
      const data = event.split('\n').find(line => line.startsWith('data: '));
      if (!data) continue;
      const state = JSON.parse(data.slice(6));
      if (state.error && !state.status) throw new Error(JSON.stringify(state.error));
      if (state.terminal && !state.financial_pending) { console.log(state.output ?? state.error); process.exit(0); }
    }
  }
  await new Promise(resolve => setTimeout(resolve, 1500));
}
console.log(job.output ?? job.error);
// Node.js 18+. Save your customized input in input.json.
import { readFileSync } from 'node:fs';
import { randomUUID } from 'node:crypto';
const base = process.env.WEBOT_BASE_URL!.replace(/\/$/, '');
const key = process.env.WEBOT_API_KEY!;
const input = JSON.parse(readFileSync('input.json', 'utf8'));
const nonce = process.env.WEBOT_JOB_NONCE || randomUUID(); // Persist before submission.
async function post(path: string, body: unknown, nonce?: string) {
  const response = await fetch(base + path, {method:'POST', headers:{
    Authorization:`Bearer ${key}`, 'Content-Type':'application/json',
    ...(nonce ? {'Idempotency-Key':nonce} : {})}, body:JSON.stringify(body)});
  const json = await response.json();
  if (!response.ok) throw new Error(JSON.stringify(json));
  return json;
}
const {quote} = await post('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote', {input});
const job = await post('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests', {input, quoted_credits:quote.credits_consumed}, nonce);
console.log(job); // Stable WEBOT request_id, events_url, result_url.
// Stream saved webhook state. Reconnect ONLY the event stream, not the generation.
while (!job.terminal || job.financial_pending) {
  const stream = await fetch(job.events_url, {headers:{Authorization:`Bearer ${key}`}});
  if (!stream.ok) throw new Error(`Event stream HTTP ${stream.status}`);
  let buffer = '';
  for await (const chunk of stream.body.pipeThrough(new TextDecoderStream())) {
    buffer += chunk;
    let end;
    while ((end = buffer.indexOf('\n\n')) !== -1) {
      const event = buffer.slice(0, end); buffer = buffer.slice(end + 2);
      const data = event.split('\n').find(line => line.startsWith('data: '));
      if (!data) continue;
      const state = JSON.parse(data.slice(6));
      if (state.error && !state.status) throw new Error(JSON.stringify(state.error));
      if (state.terminal && !state.financial_pending) { console.log(state.output ?? state.error); process.exit(0); }
    }
  }
  await new Promise(resolve => setTimeout(resolve, 1500));
}
console.log(job.output ?? job.error);
# Python 3.9+, pip install requests
import json, os, time, uuid, requests
base = os.environ['WEBOT_BASE_URL'].rstrip('/')
headers = {'Authorization': 'Bearer ' + os.environ['WEBOT_API_KEY']}
with open('input.json', encoding='utf-8') as file:
    input_data = json.load(file)
nonce = os.environ.get('WEBOT_JOB_NONCE') or str(uuid.uuid4()) # Persist before submitting.
def post(path, body, extra=None):
    response = requests.post(base + path, headers={**headers, **(extra or {})}, json=body, timeout=180)
    response.raise_for_status()
    return response.json()
quote = post('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote', {'input': input_data})['quote']
job = post('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests', {'input': input_data, 'quoted_credits': quote['credits_consumed']}, {'Idempotency-Key': nonce})
state = job
while not state['terminal'] or state.get('financial_pending', False):
    # Reconnect while nonterminal; this reads WEBOT's database, never a provider status API.
    with requests.get(job['events_url'], headers=headers, stream=True, timeout=(10, 40)) as stream:
        stream.raise_for_status()
        for line in stream.iter_lines(decode_unicode=True):
            if line and line.startswith('data: '):
                state = json.loads(line[6:])
                if 'status' not in state: raise RuntimeError(state)
                if state['terminal'] and not state.get('financial_pending', False): break
    if not state['terminal'] or state.get('financial_pending', False): time.sleep(1.5)
print(state['output'] if state['status'] == 'completed' else state['error'])
<?php // PHP 8.1+ with cURL
$base = rtrim(getenv('WEBOT_BASE_URL'), '/');
$input = json_decode(file_get_contents('input.json'), false, 64, JSON_THROW_ON_ERROR);
$nonce = getenv('WEBOT_JOB_NONCE') ?: bin2hex(random_bytes(16)); // Persist this before submission.
function post(string $path, array $body, ?string $nonce = null): array {
    global $base;
    $headers = ['Authorization: Bearer '.getenv('WEBOT_API_KEY'), 'Content-Type: application/json'];
    if ($nonce) $headers[] = 'Idempotency-Key: '.$nonce;
    $ch = curl_init($base.$path);
    curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER=>true, CURLOPT_POST=>true,
        CURLOPT_TIMEOUT=>180, CURLOPT_HTTPHEADER=>$headers,
        CURLOPT_POSTFIELDS=>json_encode($body, JSON_THROW_ON_ERROR)]);
    $raw = curl_exec($ch); $status = curl_getinfo($ch, CURLINFO_HTTP_CODE); curl_close($ch);
    if ($raw === false || $status < 200 || $status >= 300) throw new RuntimeException('WEBOT HTTP '.$status);
    return json_decode($raw, true, 64, JSON_THROW_ON_ERROR);
}
$quote = post('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote', ['input'=>$input])['quote'];
$job = post('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests', ['input'=>$input, 'quoted_credits'=>$quote['credits_consumed']], $nonce);
echo json_encode($job, JSON_PRETTY_PRINT); // Connect to events_url with the same Bearer header.
// Go 1.20+; save as main.go.
package main
import ("bytes"; "encoding/json"; "fmt"; "io"; "net/http"; "os"; "strings"; "time"; "crypto/rand"; "encoding/hex")
func main() {
    base := strings.TrimRight(os.Getenv("WEBOT_BASE_URL"), "/")
    raw, err := os.ReadFile("input.json"); if err != nil { panic(err) }
    nonce := os.Getenv("WEBOT_JOB_NONCE")
    if nonce == "" { b := make([]byte,16); if _,err:=rand.Read(b);err!=nil {panic(err)}; nonce=hex.EncodeToString(b) }
    // Persist nonce before the submission; reuse on ambiguous responses.
    client := &http.Client{Timeout:180*time.Second}
    post := func(path string, body any, id string) map[string]any {
        data, err := json.Marshal(body); if err != nil {panic(err)}
        req, err := http.NewRequest("POST",base+path,bytes.NewReader(data)); if err!=nil {panic(err)}
        req.Header.Set("Authorization","Bearer "+os.Getenv("WEBOT_API_KEY")); req.Header.Set("Content-Type","application/json")
        if id!="" {req.Header.Set("Idempotency-Key",id)}
        res,err:=client.Do(req); if err!=nil {panic(err)}; defer res.Body.Close()
        data,err=io.ReadAll(res.Body); if err!=nil {panic(err)}
        if res.StatusCode<200||res.StatusCode>=300 {panic(string(data))}
        var result map[string]any; if err=json.Unmarshal(data,&result);err!=nil {panic(err)}; return result
    }
    input:=json.RawMessage(raw)
    quote:=post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote",map[string]any{"input":input},"")["quote"].(map[string]any)
    job:=post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests",map[string]any{"input":input,"quoted_credits":quote["credits_consumed"]},nonce)
    fmt.Println(job) // Stream events_url with the same Authorization header.
}
// Java 11+, Jackson databind dependency; class Main in Main.java.
import java.net.URI;
import java.net.http.*;
import java.nio.file.*;
import java.time.Duration;
import java.util.UUID;
import com.fasterxml.jackson.databind.*;
import com.fasterxml.jackson.databind.node.ObjectNode;
public class Main {
  static final ObjectMapper json = new ObjectMapper();
  static final HttpClient client = HttpClient.newHttpClient();
  static final String base = System.getenv("WEBOT_BASE_URL").replaceAll("/$", "");
  static JsonNode post(String path, JsonNode body, String nonce) throws Exception {
    var b = HttpRequest.newBuilder(URI.create(base+path)).timeout(Duration.ofSeconds(180))
      .header("Authorization","Bearer "+System.getenv("WEBOT_API_KEY")).header("Content-Type","application/json")
      .POST(HttpRequest.BodyPublishers.ofString(json.writeValueAsString(body)));
    if(nonce!=null)b.header("Idempotency-Key",nonce);
    var r=client.send(b.build(),HttpResponse.BodyHandlers.ofString());
    if(r.statusCode()<200||r.statusCode()>=300)throw new IllegalStateException(r.body());
    return json.readTree(r.body());
  }
  public static void main(String[] args) throws Exception {
    var input=json.readTree(Files.readString(Path.of("input.json")));
    ObjectNode body=json.createObjectNode();body.set("input",input);
    var quote=post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote",body,null).get("quote");
    body.put("quoted_credits",quote.get("credits_consumed").asInt());
    String nonce=System.getenv("WEBOT_JOB_NONCE");if(nonce==null)nonce=UUID.randomUUID().toString(); // Persist before POST.
    var job=post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests",body,nonce);System.out.println(job);
    // Subscribe to job.events_url with Authorization; use BodyHandlers.ofLines().
  }
}
// .NET 8 console app, top-level statements.
using System.Net.Http;
using System.Text;
using System.Text.Json.Nodes;
var client = new HttpClient { Timeout = TimeSpan.FromSeconds(180) };
var root = Environment.GetEnvironmentVariable("WEBOT_BASE_URL")!.TrimEnd('/');
var key = Environment.GetEnvironmentVariable("WEBOT_API_KEY");
async Task<JsonNode> Post(string path, JsonNode body, string? nonce = null) {
    using var req = new HttpRequestMessage(HttpMethod.Post, root + path);
    req.Headers.Add("Authorization", "Bearer " + key);
    if (nonce != null) req.Headers.Add("Idempotency-Key", nonce);
    req.Content = new StringContent(body.ToJsonString(), Encoding.UTF8, "application/json");
    using var res = await client.SendAsync(req);
    var raw = await res.Content.ReadAsStringAsync();res.EnsureSuccessStatusCode();
    return JsonNode.Parse(raw)!;
}
var input = JsonNode.Parse(await File.ReadAllTextAsync("input.json"));
var body = new JsonObject { ["input"] = input };
var quote = await Post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote", body);
body["quoted_credits"] = quote["quote"]!["credits_consumed"]!.GetValue<int>();
var nonce = Environment.GetEnvironmentVariable("WEBOT_JOB_NONCE") ?? Guid.NewGuid().ToString(); // Persist before submitting.
var job = await Post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests", body, nonce);
Console.WriteLine(job); // Subscribe to events_url with the same Bearer header and ResponseHeadersRead.
# Ruby 3+, standard library only.
require 'net/http'
require 'json'
require 'securerandom'
base = ENV.fetch('WEBOT_BASE_URL').sub(%r{/$}, '')
post = lambda do |path, body, nonce = nil|
  uri = URI(base + path)
  req = Net::HTTP::Post.new(uri)
  req['Authorization'] = 'Bearer ' + ENV.fetch('WEBOT_API_KEY')
  req['Content-Type'] = 'application/json'
  req['Idempotency-Key'] = nonce if nonce
  req.body = JSON.generate(body)
  res = Net::HTTP.start(uri.host, uri.port, use_ssl: true, read_timeout: 180) { |http| http.request(req) }
  raise res.body unless res.is_a?(Net::HTTPSuccess)
  JSON.parse(res.body)
end
input = JSON.parse(File.read('input.json'))
quote = post.call('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote', {'input' => input})['quote']
nonce = ENV['WEBOT_JOB_NONCE'] || SecureRandom.uuid # Persist this before submission.
job = post.call('/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests', {'input' => input, 'quoted_credits' => quote['credits_consumed']}, nonce)
puts JSON.pretty_generate(job) # Subscribe to events_url with the same Authorization header.
// Swift 5.9 server-side/CLI only. Do not embed customer keys in shipped apps.
import Foundation
#if canImport(FoundationNetworking)
import FoundationNetworking
#endif
@main struct Main {
 static func main() async throws {
  let env=ProcessInfo.processInfo.environment
  let base=env["WEBOT_BASE_URL"]!.trimmingCharacters(in: CharacterSet(charactersIn:"/"))
  let input=try JSONSerialization.jsonObject(with: Data(contentsOf:URL(fileURLWithPath:"input.json")))
  func post(_ path:String,_ body:[String:Any],_ nonce:String?=nil) async throws -> [String:Any] {
   var req=URLRequest(url:URL(string:base+path)!);req.httpMethod="POST";req.timeoutInterval=180
   req.setValue("Bearer "+env["WEBOT_API_KEY"]!,forHTTPHeaderField:"Authorization")
   req.setValue("application/json",forHTTPHeaderField:"Content-Type")
   if let nonce {req.setValue(nonce,forHTTPHeaderField:"Idempotency-Key")}
   req.httpBody=try JSONSerialization.data(withJSONObject:body)
   let (data,res)=try await URLSession.shared.data(for:req)
   guard let http=res as? HTTPURLResponse,(200..<300).contains(http.statusCode) else {throw NSError(domain:"WEBOT",code:1)}
   return try JSONSerialization.jsonObject(with:data) as! [String:Any]
  }
  let quote=try await post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote",["input":input])["quote"] as! [String:Any]
  let nonce=env["WEBOT_JOB_NONCE"] ?? UUID().uuidString // Persist before submission.
  let job=try await post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests",["input":input,"quoted_credits":quote["credits_consumed"]!],nonce)
  print(job) // Subscribe to events_url with the same Authorization header.
 }
}
// Server-side Kotlin/JVM 17+, Gradle dependencies: OkHttp 4.12, org.json 20240303.
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.toRequestBody
import org.json.JSONObject
import java.io.File
import java.util.UUID
import java.util.concurrent.TimeUnit
fun main() {
 val base=System.getenv("WEBOT_BASE_URL").trimEnd('/')
 val client=OkHttpClient.Builder().readTimeout(180,TimeUnit.SECONDS).build()
 fun post(path:String,body:JSONObject,nonce:String?=null):JSONObject {
  val b=Request.Builder().url(base+path).header("Authorization","Bearer "+System.getenv("WEBOT_API_KEY"))
   .post(body.toString().toRequestBody("application/json".toMediaType()))
  if(nonce!=null)b.header("Idempotency-Key",nonce)
  return client.newCall(b.build()).execute().use {res ->
   val raw=res.body!!.string();check(res.isSuccessful){raw};JSONObject(raw)
  }
 }
 val body=JSONObject().put("input",JSONObject(File("input.json").readText()))
 val quote=post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/quote",body).getJSONObject("quote")
 body.put("quoted_credits",quote.getInt("credits_consumed"))
 val nonce=System.getenv("WEBOT_JOB_NONCE") ?: UUID.randomUUID().toString() // Persist before submission.
 val job=post("/api/v1/models/ltx_2_3_quality_audio_to_video_lora/requests",body,nonce)
 println(job) // Subscribe to events_url with the same Authorization header.
}
5. Receive all results

The response includes a stable WEBOT request_id, events_url and result_url. Subscribe with a Bearer-authenticated HTTP stream. Nonterminal streams end after 25 seconds; reconnect to the same URL after at least 1.5 seconds. Current saved state is replayed immediately, including completion that happened while disconnected. A terminal event contains the result envelope. The JSON terminal flag describes generation completion. Keep reconnecting while financial_pending is true; stop after the terminal event confirms financial settlement. Never poll provider status/results. Native browser EventSource cannot send a Bearer header; keep the key on your server.

Completed output contains the full model result, including every generated media/document item, not just the first URL. Failed output is null with error and refund_state. Results are strictly limited to the key owner, including on reseller domains. Model-independent aliases: /api/v1/requests/{request_id}/result and /events. Revoking a key blocks subsequent reads and streams; saved results remain accessible with another valid key of the same account.

6. Schemas and parameter defaults

Required fields are marked with *. Required text must contain non-whitespace content. Defaults apply when an optional parameter is omitted; null, false, 0 and an empty array are distinct values. “No documented default” means WEBOT does not invent one. Examples are sample inputs, not defaults. WEBOT generation constraints can require an explicit value even when the provider publishes an automatic default.

Input schema · fields, constraints and defaults
ParameterTypeRequiredDefault when omittedDescription / constraints
seedinteger | nullNoNo documented defaultRandom seed for reproducibility. If None, a random seed is chosen.
image_urlstring | nullNoNo documented defaultOptional URL of an image to use as the first frame. When omitted, generation runs from text and audio only.
video_qualitystringNo"high"The quality preset of the generated video.
enum: ["low","medium","high","maximum"]
num_inference_stepsintegerNo15Number of inference steps. Defaults to 15 and can be increased up to 30.
minimum: 8 · maximum: 30
guidance_scalenumberNo1Classifier-free guidance scale. The default is tuned for fast, high-quality generation.
minimum: 1 · maximum: 20
enable_safety_checkerbooleanNotrueWhether to enable the safety checker.
sync_modebooleanNofalseIf True, the media is returned as a data URI inline in the response. Useful for short-lived requests and tests.
enable_prompt_expansionbooleanNotrueWhether to enable prompt expansion.
video_write_modestringNo"balanced"The write mode of the generated video.
enum: ["fast","balanced","small"]
frames_per_secondnumberNo24Frames per second of the generated video.
minimum: 1 · maximum: 60
image_strengthnumberNo0.7Conditioning strength for the optional first frame. 1.0 keeps the image more strictly; lower values give the model more freedom.
minimum: 0 · maximum: 1
lorasarrayYes *No documented defaultUp to 3 LoRAs to apply on top of LTX-2.3. Each path is downloaded through the registry SSRF-safe downloader before it is loaded. Max size: 3 GB per LoRA.
maxItems: 3
loras[].pathstringYes *No documented defaultDirect HTTP(S) download URL of the LoRA file (.safetensors). The file is downloaded through an SSRF-safe downloader before it is loaded. Max size: 3 GB.
maxLength: 2048
loras[].scalenumberNo1Strength of the LoRA application (0.0 to 2.0). Higher values = stronger effect on the generated video.
minimum: 0 · maximum: 2
loras[].transformerstringNo"both"Forward-compatibility flag for multi-transformer architectures. LTX-2.3 has a single transformer, so 'both' is the right choice for almost all users.
enum: ["high","low","both"]
generate_audiobooleanNotrueWhether to include audio in the returned video. When disabled, the final MP4 is returned without an audio track.
audio_urlstringYes *No documented defaultThe URL of the audio track that drives generation.
num_framesintegerNo121The number of frames to generate.
minimum: 9 · maximum: 481
match_audio_lengthbooleanNotrueWhen enabled, derives the number of frames from the audio duration and frames_per_second. When disabled, uses num_frames.
negative_promptstringNo"color distortion, overexposure, static, blurry details, subtitles, style, artwork, painting, frame, still, dim overall tone, worst quality, low quality, JPEG compression artifacts, ugly, mutilated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, motionless frame, cluttered background, three legs, crowded background, walking backwards"The negative prompt to steer generation away from.
resolutionobject | stringNo"landscape_16_9"Final output size. 'auto' matches the input image aspect ratio when image_url is provided; otherwise it uses a landscape fallback.
resolution.variant0.widthintegerNo512The width of the generated image.
maximum: 14142 · exclusiveMinimum: 0
resolution.variant0.heightintegerNo512The height of the generated image.
maximum: 14142 · exclusiveMinimum: 0
promptstringYes *No documented defaultThe prompt to guide the audio-driven video generation.
{
    "title": "LTX23QualityLoRAAudioToVideoInput",
    "type": "object",
    "properties": {
        "seed": {
            "title": "Seed",
            "description": "Random seed for reproducibility. If None, a random seed is chosen.",
            "anyOf": [
                {
                    "type": "integer"
                },
                {
                    "type": "null"
                }
            ]
        },
        "image_url": {
            "title": "Image URL",
            "examples": [
                "https://storage.googleapis.com/falserverless/example_inputs/ltx-2-a2v-input-image.png"
            ],
            "description": "Optional URL of an image to use as the first frame. When omitted, generation runs from text and audio only.",
            "anyOf": [
                {
                    "type": "string"
                },
                {
                    "type": "null"
                }
            ]
        },
        "video_quality": {
            "title": "Video Quality",
            "enum": [
                "low",
                "medium",
                "high",
                "maximum"
            ],
            "type": "string",
            "description": "The quality preset of the generated video.",
            "default": "high"
        },
        "num_inference_steps": {
            "title": "Number of Inference Steps",
            "minimum": 8,
            "type": "integer",
            "description": "Number of inference steps. Defaults to 15 and can be increased up to 30.",
            "maximum": 30,
            "default": 15
        },
        "guidance_scale": {
            "title": "Guidance Scale",
            "minimum": 1,
            "type": "number",
            "description": "Classifier-free guidance scale. The default is tuned for fast, high-quality generation.",
            "maximum": 20,
            "default": 1
        },
        "enable_safety_checker": {
            "title": "Enable Safety Checker",
            "type": "boolean",
            "description": "Whether to enable the safety checker.",
            "default": true
        },
        "sync_mode": {
            "title": "Sync Mode",
            "type": "boolean",
            "description": "If True, the media is returned as a data URI inline in the response. Useful for short-lived requests and tests.",
            "default": false
        },
        "enable_prompt_expansion": {
            "title": "Enable Prompt Expansion",
            "type": "boolean",
            "description": "Whether to enable prompt expansion.",
            "default": true
        },
        "video_write_mode": {
            "title": "Video Write Mode",
            "enum": [
                "fast",
                "balanced",
                "small"
            ],
            "type": "string",
            "description": "The write mode of the generated video.",
            "default": "balanced"
        },
        "frames_per_second": {
            "title": "FPS",
            "minimum": 1,
            "type": "number",
            "description": "Frames per second of the generated video.",
            "maximum": 60,
            "default": 24
        },
        "image_strength": {
            "title": "Image Strength",
            "minimum": 0,
            "type": "number",
            "description": "Conditioning strength for the optional first frame. 1.0 keeps the image more strictly; lower values give the model more freedom.",
            "maximum": 1,
            "default": 0.7
        },
        "loras": {
            "title": "LoRAs",
            "type": "array",
            "items": {
                "title": "LoRAInput",
                "type": "object",
                "properties": {
                    "path": {
                        "title": "Path",
                        "type": "string",
                        "examples": [
                            "https://example.com/path/to/lora.safetensors"
                        ],
                        "description": "Direct HTTP(S) download URL of the LoRA file (.safetensors). The file is downloaded through an SSRF-safe downloader before it is loaded. Max size: 3 GB.",
                        "maxLength": 2048
                    },
                    "scale": {
                        "title": "Scale",
                        "minimum": 0,
                        "type": "number",
                        "description": "Strength of the LoRA application (0.0 to 2.0). Higher values = stronger effect on the generated video.",
                        "maximum": 2,
                        "default": 1
                    },
                    "transformer": {
                        "title": "Transformer",
                        "enum": [
                            "high",
                            "low",
                            "both"
                        ],
                        "type": "string",
                        "description": "Forward-compatibility flag for multi-transformer architectures. LTX-2.3 has a single transformer, so 'both' is the right choice for almost all users.",
                        "default": "both"
                    }
                },
                "x-webot-order-properties": [
                    "path",
                    "scale",
                    "transformer"
                ],
                "description": "A single LoRA to apply on top of the LTX-2.3 base model.\n\nLoaded at request time through the registry SSRF-safe downloader.",
                "required": [
                    "path"
                ]
            },
            "maxItems": 3,
            "description": "Up to 3 LoRAs to apply on top of LTX-2.3. Each path is downloaded through the registry SSRF-safe downloader before it is loaded. Max size: 3 GB per LoRA."
        },
        "generate_audio": {
            "title": "Generate Audio",
            "type": "boolean",
            "description": "Whether to include audio in the returned video. When disabled, the final MP4 is returned without an audio track.",
            "default": true
        },
        "audio_url": {
            "title": "Audio URL",
            "type": "string",
            "examples": [
                "https://storage.googleapis.com/falserverless/example_inputs/ltx-2-a2v-input-audio.mp3"
            ],
            "description": "The URL of the audio track that drives generation."
        },
        "num_frames": {
            "minimum": 9,
            "type": "integer",
            "title": "Number of Frames",
            "description": "The number of frames to generate.",
            "maximum": 481,
            "default": 121
        },
        "match_audio_length": {
            "title": "Match Audio Length",
            "type": "boolean",
            "description": "When enabled, derives the number of frames from the audio duration and frames_per_second. When disabled, uses num_frames.",
            "default": true
        },
        "negative_prompt": {
            "title": "Negative Prompt",
            "type": "string",
            "description": "The negative prompt to steer generation away from.",
            "default": "color distortion, overexposure, static, blurry details, subtitles, style, artwork, painting, frame, still, dim overall tone, worst quality, low quality, JPEG compression artifacts, ugly, mutilated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, motionless frame, cluttered background, three legs, crowded background, walking backwards"
        },
        "resolution": {
            "title": "Resolution",
            "default": "landscape_16_9",
            "description": "Final output size. 'auto' matches the input image aspect ratio when image_url is provided; otherwise it uses a landscape fallback.",
            "anyOf": [
                {
                    "title": "ImageSize",
                    "type": "object",
                    "properties": {
                        "width": {
                            "title": "Width",
                            "exclusiveMinimum": 0,
                            "type": "integer",
                            "description": "The width of the generated image.",
                            "maximum": 14142,
                            "default": 512
                        },
                        "height": {
                            "title": "Height",
                            "exclusiveMinimum": 0,
                            "type": "integer",
                            "description": "The height of the generated image.",
                            "maximum": 14142,
                            "default": 512
                        }
                    },
                    "x-webot-order-properties": [
                        "width",
                        "height"
                    ]
                },
                {
                    "enum": [
                        "square_hd",
                        "square",
                        "portrait_4_3",
                        "portrait_16_9",
                        "landscape_4_3",
                        "landscape_16_9"
                    ],
                    "type": "string"
                }
            ]
        },
        "prompt": {
            "title": "Prompt",
            "type": "string",
            "examples": [
                "A person facing the camera sings with expressive natural motion, cinematic portrait lighting, realistic facial performance."
            ],
            "description": "The prompt to guide the audio-driven video generation."
        }
    },
    "x-webot-order-properties": [
        "prompt",
        "audio_url",
        "image_url",
        "match_audio_length",
        "num_frames",
        "resolution",
        "frames_per_second",
        "num_inference_steps",
        "guidance_scale",
        "generate_audio",
        "image_strength",
        "negative_prompt",
        "seed",
        "enable_prompt_expansion",
        "enable_safety_checker",
        "video_quality",
        "video_write_mode",
        "sync_mode",
        "loras"
    ],
    "description": "Audio-to-video + user-supplied LoRAs.",
    "required": [
        "loras",
        "prompt",
        "audio_url"
    ]
}
Output (inside result.output) schema · fields, constraints and defaults
ParameterTypeRequiredDefault when omittedDescription / constraints
seedintegerYes *No documented defaultThe seed actually used for generation.
promptstringYes *No documented defaultThe prompt used for generation (after any expansion).
videoobjectYes *No documented defaultThe generated video.
video.urlstringYes *No documented defaultThe URL where the file can be downloaded from.
video.content_typestring | nullNoNo documented defaultThe mime type of the file.
video.file_sizeinteger | nullNoNo documented defaultThe size of the file in bytes.
video.file_namestring | nullNoNo documented defaultThe name of the file. It will be auto-generated if not provided.
{
    "title": "LTX23QualityOutput",
    "type": "object",
    "properties": {
        "seed": {
            "title": "Seed",
            "type": "integer",
            "description": "The seed actually used for generation."
        },
        "prompt": {
            "title": "Prompt",
            "type": "string",
            "description": "The prompt used for generation (after any expansion)."
        },
        "video": {
            "title": "File",
            "type": "object",
            "properties": {
                "url": {
                    "title": "Url",
                    "type": "string",
                    "description": "The URL where the file can be downloaded from."
                },
                "content_type": {
                    "title": "Content Type",
                    "examples": [
                        "image/png"
                    ],
                    "description": "The mime type of the file.",
                    "anyOf": [
                        {
                            "type": "string"
                        },
                        {
                            "type": "null"
                        }
                    ]
                },
                "file_size": {
                    "title": "File Size",
                    "examples": [
                        4404019
                    ],
                    "description": "The size of the file in bytes.",
                    "anyOf": [
                        {
                            "type": "integer"
                        },
                        {
                            "type": "null"
                        }
                    ]
                },
                "file_name": {
                    "title": "File Name",
                    "examples": [
                        "z9RV14K95DvU.png"
                    ],
                    "description": "The name of the file. It will be auto-generated if not provided.",
                    "anyOf": [
                        {
                            "type": "string"
                        },
                        {
                            "type": "null"
                        }
                    ]
                }
            },
            "x-webot-order-properties": [
                "url",
                "content_type",
                "file_name",
                "file_size"
            ],
            "required": [
                "url"
            ],
            "description": "The generated video."
        }
    },
    "x-webot-order-properties": [
        "video",
        "seed",
        "prompt"
    ],
    "description": "Standard output for every endpoint on this app.",
    "required": [
        "video",
        "seed",
        "prompt"
    ]
}
Errors and limits

401 invalid/expired/revoked key · 403 key scope or domain mismatch · 404 unavailable model or unowned request · 409 quote changed, balance, concurrency or idempotency conflict · 413 JSON exceeds 2 MB · 415 wrong content type · 422 invalid fields/media · 429 rate limit · 503 temporary/ambiguous submission. Respect Retry-After. Current limits per account: 12 quotes/submissions, 120 result reads and 8 stream connections per minute. One submission preparation at a time per account. Do not automatically regenerate failed jobs.

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LTX 2.3 Quality - Audio to Video with LoRA · Your account only

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How to use LTX 2.3 Quality — Audio to Video with LoRA

Use an audio recording to guide a generated video. Depending on this model, the sound may drive a character or the visuals.

Required inputs

  • LoRAs: A compatible learned adapter that changes a model’s style, subject or behaviour. It is an add-on to a base model, not a normal reference photo. Use adapters made for the supported base model.
  • Prompt: Your instructions to the model. Say what you want, include the important details and avoid contradictory directions. For a video, describe the action as well as the scene.
  • Audio URL: The source sound or speech recording. Clear audio helps the model interpret it. Check the accepted file type, duration and whether the model expects speech, music or another sound.

Workflow

  1. Prepare your source material and fill the required inputs above. Review the supported settings for this model.
  2. Sign in to calculate the credit estimate. Review the estimate before choosing Generate.
  3. Keep this model page open while the request runs. Completed results arrive in the result area; use the available player or download controls to review the output.

When to use this workflow

  • Create visuals guided by sound.
  • Combine supported image and audio inputs into a video.

Key settings

LoRAs
A compatible learned adapter that changes a model’s style, subject or behaviour. It is an add-on to a base model, not a normal reference photo. Use adapters made for the supported base model. Maximum items: 3
Path
A compatible saved model or learned adapter file. This is not an ordinary picture. Use the exact format and base-model compatibility required by this tool. Maximum characters: 2048
Scale
A scale or enlargement amount. For an image enlargement factor, 2× doubles both width and height, producing four times as many pixels. Other uses of “scale” can differ; check this model’s description. Minimum: 0. Maximum: 2
Transformer
Select the internal model component used by a supported architecture. This is an advanced compatibility option; choose the documented default rather than treating it as a style setting. Supported choices: "high", "low", "both"
Prompt
Your instructions to the model. Say what you want, include the important details and avoid contradictory directions. For a video, describe the action as well as the scene.
Audio URL
The source sound or speech recording. Clear audio helps the model interpret it. Check the accepted file type, duration and whether the model expects speech, music or another sound.

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