—
LTX Video 0.9.8 13B Distilled — Extend Video
Generate a long video from a prompt and a short video.
Input
Add your inputs and customize the generation settings.
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 video second at the documented billing FPS
| Specification | Webot INR |
|---|---|
| Rate | ₹2.40 |
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: ×2. Billed video seconds = frames ÷ 24. 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 · Extend Video
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
| Method | Endpoint | Purpose |
|---|---|---|
| POST | https://webot.online/api/v1/models/ltxv_13b_098_distilled_extend/quote | Validate input and calculate credits (no deduction). |
| POST | https://webot.online/api/v1/models/ltxv_13b_098_distilled_extend/requests | Reserve quoted credits and queue an asynchronous job. |
| GET | https://webot.online/api/v1/models/ltxv_13b_098_distilled_extend/requests/{request_id}/result | Read your saved result: 202 pending, 200 terminal. |
| GET | https://webot.online/api/v1/models/ltxv_13b_098_distilled_extend/requests/{request_id}/events | Authenticated 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.
Supported generation options
- Disable automatic and temporal downsampling for verified frame billing.
{
"prompt": "Audit sample text",
"video": {
"video_url": "https://example.com/video.mp4",
"strength": 1,
"limit_num_frames": false,
"reverse_video": false,
"max_num_frames": 1441,
"start_frame_num": 0,
"target_fps": 24,
"resample_fps": false
},
"constant_rate_factor": 29,
"reverse_video": false,
"num_frames": 121,
"enable_safety_checker": true,
"second_pass_skip_initial_steps": 5,
"loras": [],
"temporal_adain_factor": 0.5,
"frame_rate": 24,
"first_pass_num_inference_steps": 8,
"second_pass_num_inference_steps": 8,
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"aspect_ratio": "auto",
"enable_detail_pass": false,
"resolution": "720p",
"expand_prompt": false,
"tone_map_compression_ratio": 0
}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/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/quote', {input});
const job = await post('/api/v1/models/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/quote', {input});
const job = await post('/api/v1/models/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/quote', {'input': input_data})['quote']
job = post('/api/v1/models/ltxv_13b_098_distilled_extend/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);
}
$quote = post('/api/v1/models/ltxv_13b_098_distilled_extend/quote', ['input'=>$input])['quote'];
$job = post('/api/v1/models/ltxv_13b_098_distilled_extend/requests', ['input'=>$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/ltxv_13b_098_distilled_extend/quote",map[string]any{"input":input},"")["quote"].(map[string]any)
job:=post("/api/v1/models/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/quote', {'input' => input})['quote']
nonce = ENV['WEBOT_JOB_NONCE'] || SecureRandom.uuid # Persist this before submission.
job = post.call('/api/v1/models/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/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/ltxv_13b_098_distilled_extend/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
| Parameter | Type | Required | Default when omitted | Description / constraints |
|---|---|---|---|---|
prompt | string | Yes * | No documented default | Text prompt to guide generation |
constant_rate_factor | integer | No | 29 | The constant rate factor (CRF) to compress input media with. Compressed input media more closely matches the model's training data, which can improve motion quality. minimum: 0 · maximum: 51 |
seed | integer | null | No | No documented default | Random seed for generation |
reverse_video | boolean | No | false | Whether to reverse the video. |
num_frames | integer | No | 121 | The number of frames in the video. minimum: 9 · maximum: 1441 |
enable_safety_checker | boolean | No | true | Whether to enable the safety checker. Disabling it requires account authorization; unauthorized requests are always checked. |
second_pass_skip_initial_steps | integer | No | 5 | The number of inference steps to skip in the initial steps of the second pass. By skipping some steps at the beginning, the second pass can focus on smaller details instead of larger changes. minimum: 1 · maximum: 11 |
loras | array | No | [] | LoRA weights to use for generation |
loras[].weight_name | string | null | No | No documented default | Name of the LoRA weight. Only used if `path` is a HuggingFace repository, and is only required when the repository contains multiple LoRA weights. |
loras[].path | string | Yes * | No documented default | URL or path to the LoRA weights. |
loras[].scale | number | No | 1 | Scale of the LoRA weight. This is a multiplier applied to the LoRA weight when loading it. minimum: 0 · maximum: 4 |
temporal_adain_factor | number | No | 0.5 | The factor for adaptive instance normalization (AdaIN) applied to generated video chunks after the first. This can help deal with a gradual increase in saturation/contrast in the generated video by normalizing the color distribution across the video. A high value will ensure the color distribution is more consistent across the video, while a low value will allow for more variation in color distribution. minimum: 0 · maximum: 1 |
frame_rate | integer | No | 24 | The frame rate of the video. minimum: 1 · maximum: 60 |
video | object | Yes * | No documented default | Video to be extended. |
video.strength | number | No | 1 | Strength of the conditioning. 0.0 means no conditioning, 1.0 means full conditioning. minimum: 0 · maximum: 1 |
video.limit_num_frames | boolean | No | false | Whether to limit the number of frames used from the video. If True, the `max_num_frames` parameter will be used to limit the number of frames. |
video.reverse_video | boolean | No | false | Whether to reverse the video. This is useful for tasks where the video conditioning should be applied in reverse order. |
video.video_url | string | Yes * | No documented default | URL of video to use as conditioning |
video.max_num_frames | integer | No | 1441 | Maximum number of frames to use from the video. If None, all frames will be used. minimum: 1 · maximum: 1441 |
video.start_frame_num | integer | No | 0 | Frame number of the video from which the conditioning starts. Must be a multiple of 8. minimum: 0 · maximum: 1440 |
video.target_fps | integer | No | 24 | Target FPS to resample the video to. Only relevant if `resample_fps` is True. minimum: 1 · maximum: 60 |
video.resample_fps | boolean | No | false | Whether to resample the video to a specific FPS. If True, the `target_fps` parameter will be used to resample the video. |
first_pass_num_inference_steps | integer | No | 8 | Number of inference steps during the first pass. minimum: 2 · maximum: 12 |
second_pass_num_inference_steps | integer | No | 8 | Number of inference steps during the second pass. minimum: 2 · maximum: 12 |
negative_prompt | string | No | "worst quality, inconsistent motion, blurry, jittery, distorted" | Negative prompt for generation |
aspect_ratio | string | No | "auto" | The aspect ratio of the video. enum: ["9:16","1:1","16:9","auto"] |
enable_detail_pass | boolean | No | false | Whether to use a detail pass. If True, the model will perform a second pass to refine the video and enhance details. This incurs a 2.0x cost multiplier on the base price. |
resolution | string | No | "720p" | Resolution of the generated video. enum: ["480p","720p"] |
expand_prompt | boolean | No | false | Whether to expand the prompt using a language model. |
tone_map_compression_ratio | number | No | 0 | The compression ratio for tone mapping. This is used to compress the dynamic range of the video to improve visual quality. A value of 0.0 means no compression, while a value of 1.0 means maximum compression. minimum: 0 · maximum: 1 |
{
"title": "DistilledExtendVideoInput",
"type": "object",
"properties": {
"prompt": {
"title": "Prompt",
"type": "string",
"examples": [
"Woman walking on a street in Tokyo"
],
"description": "Text prompt to guide generation"
},
"constant_rate_factor": {
"title": "Constant Rate Factor",
"minimum": 0,
"type": "integer",
"examples": [
29
],
"description": "The constant rate factor (CRF) to compress input media with. Compressed input media more closely matches the model's training data, which can improve motion quality.",
"maximum": 51,
"default": 29
},
"seed": {
"title": "Seed",
"description": "Random seed for generation",
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
]
},
"reverse_video": {
"title": "Reverse Video",
"type": "boolean",
"examples": [
false
],
"description": "Whether to reverse the video.",
"default": false
},
"num_frames": {
"title": "Number of Frames",
"minimum": 9,
"type": "integer",
"examples": [
121
],
"description": "The number of frames in the video.",
"maximum": 1441,
"default": 121
},
"enable_safety_checker": {
"title": "Enable Safety Checker",
"type": "boolean",
"examples": [
true
],
"description": "Whether to enable the safety checker. Disabling it requires account authorization; unauthorized requests are always checked.",
"default": true
},
"second_pass_skip_initial_steps": {
"title": "Second Pass Skip Initial Steps",
"minimum": 1,
"type": "integer",
"examples": [
5
],
"description": "The number of inference steps to skip in the initial steps of the second pass. By skipping some steps at the beginning, the second pass can focus on smaller details instead of larger changes.",
"maximum": 11,
"default": 5
},
"loras": {
"title": "Loras",
"type": "array",
"items": {
"title": "LoRAWeight",
"type": "object",
"properties": {
"weight_name": {
"title": "Weight Name",
"description": "Name of the LoRA weight. Only used if `path` is a HuggingFace repository, and is only required when the repository contains multiple LoRA weights.",
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"path": {
"title": "Path",
"type": "string",
"description": "URL or path to the LoRA weights."
},
"scale": {
"title": "Scale",
"minimum": 0,
"type": "number",
"description": "Scale of the LoRA weight. This is a multiplier applied to the LoRA weight when loading it.",
"maximum": 4,
"default": 1
}
},
"x-webot-order-properties": [
"path",
"weight_name",
"scale"
],
"required": [
"path"
]
},
"description": "LoRA weights to use for generation",
"default": []
},
"temporal_adain_factor": {
"title": "Temporal AdaIN Factor",
"minimum": 0,
"type": "number",
"description": "The factor for adaptive instance normalization (AdaIN) applied to generated video chunks after the first. This can help deal with a gradual increase in saturation/contrast in the generated video by normalizing the color distribution across the video. A high value will ensure the color distribution is more consistent across the video, while a low value will allow for more variation in color distribution.",
"multipleOf": 0.05,
"examples": [
0.5
],
"maximum": 1,
"default": 0.5
},
"frame_rate": {
"title": "Frame Rate",
"minimum": 1,
"type": "integer",
"examples": [
24
],
"description": "The frame rate of the video.",
"maximum": 60,
"default": 24
},
"video": {
"title": "ExtendVideoConditioningInput",
"type": "object",
"properties": {
"strength": {
"title": "Strength",
"minimum": 0,
"type": "number",
"description": "Strength of the conditioning. 0.0 means no conditioning, 1.0 means full conditioning.",
"maximum": 1,
"default": 1
},
"limit_num_frames": {
"title": "Limit Number of Frames",
"type": "boolean",
"description": "Whether to limit the number of frames used from the video. If True, the `max_num_frames` parameter will be used to limit the number of frames.",
"default": false
},
"reverse_video": {
"title": "Reverse Video",
"type": "boolean",
"description": "Whether to reverse the video. This is useful for tasks where the video conditioning should be applied in reverse order.",
"default": false
},
"video_url": {
"title": "Video URL",
"type": "string",
"description": "URL of video to use as conditioning"
},
"max_num_frames": {
"title": "Maximum Number of Frames",
"minimum": 1,
"type": "integer",
"examples": [
1441
],
"description": "Maximum number of frames to use from the video. If None, all frames will be used.",
"maximum": 1441,
"default": 1441
},
"start_frame_num": {
"title": "Start Frame Number",
"minimum": 0,
"type": "integer",
"multipleOf": 8,
"description": "Frame number of the video from which the conditioning starts. Must be a multiple of 8.",
"maximum": 1440,
"default": 0
},
"target_fps": {
"title": "Target FPS",
"minimum": 1,
"type": "integer",
"examples": [
24
],
"description": "Target FPS to resample the video to. Only relevant if `resample_fps` is True.",
"maximum": 60,
"default": 24
},
"resample_fps": {
"title": "Resample FPS",
"type": "boolean",
"description": "Whether to resample the video to a specific FPS. If True, the `target_fps` parameter will be used to resample the video.",
"default": false
}
},
"x-webot-order-properties": [
"video_url",
"start_frame_num",
"strength",
"limit_num_frames",
"max_num_frames",
"resample_fps",
"target_fps",
"reverse_video"
],
"required": [
"video_url"
],
"examples": [
{
"strength": 1,
"limit_num_frames": false,
"reverse_video": false,
"video_url": "https://storage.googleapis.com/falserverless/web-examples/wan/t2v.mp4",
"conditioning_type": "rgb",
"max_num_frames": 1441,
"preprocess": false,
"target_fps": 24,
"start_frame_num": 0,
"resample_fps": false
}
],
"description": "Video to be extended."
},
"first_pass_num_inference_steps": {
"title": "Number of Inference Steps",
"minimum": 2,
"type": "integer",
"examples": [
8
],
"description": "Number of inference steps during the first pass.",
"maximum": 12,
"default": 8
},
"second_pass_num_inference_steps": {
"title": "Second Pass Number of Inference Steps",
"minimum": 2,
"type": "integer",
"examples": [
8
],
"description": "Number of inference steps during the second pass.",
"maximum": 12,
"default": 8
},
"negative_prompt": {
"title": "Negative Prompt",
"type": "string",
"description": "Negative prompt for generation",
"default": "worst quality, inconsistent motion, blurry, jittery, distorted"
},
"aspect_ratio": {
"title": "Aspect Ratio",
"enum": [
"9:16",
"1:1",
"16:9",
"auto"
],
"type": "string",
"examples": [
"auto"
],
"description": "The aspect ratio of the video.",
"default": "auto"
},
"enable_detail_pass": {
"title": "Enable Detail Pass",
"type": "boolean",
"examples": [
false
],
"description": "Whether to use a detail pass. If True, the model will perform a second pass to refine the video and enhance details. This incurs a 2.0x cost multiplier on the base price.",
"default": false
},
"resolution": {
"title": "Resolution",
"enum": [
"480p",
"720p"
],
"type": "string",
"examples": [
"720p"
],
"description": "Resolution of the generated video.",
"default": "720p"
},
"expand_prompt": {
"title": "Expand Prompt",
"type": "boolean",
"examples": [
false
],
"description": "Whether to expand the prompt using a language model.",
"default": false
},
"tone_map_compression_ratio": {
"title": "Tone Map Compression Ratio",
"minimum": 0,
"type": "number",
"description": "The compression ratio for tone mapping. This is used to compress the dynamic range of the video to improve visual quality. A value of 0.0 means no compression, while a value of 1.0 means maximum compression.",
"multipleOf": 0.05,
"examples": [
0
],
"maximum": 1,
"default": 0
}
},
"x-webot-order-properties": [
"prompt",
"negative_prompt",
"loras",
"resolution",
"aspect_ratio",
"seed",
"num_frames",
"first_pass_num_inference_steps",
"second_pass_num_inference_steps",
"second_pass_skip_initial_steps",
"frame_rate",
"expand_prompt",
"reverse_video",
"enable_safety_checker",
"enable_detail_pass",
"temporal_adain_factor",
"tone_map_compression_ratio",
"constant_rate_factor",
"video"
],
"required": [
"prompt",
"video"
]
}Output (inside result.output) schema · fields, constraints and defaults
| Parameter | Type | Required | Default when omitted | Description / constraints |
|---|---|---|---|---|
seed | integer | Yes * | No documented default | The seed used for generation. |
video | object | Yes * | No documented default | The generated video file. |
video.url | string | Yes * | No documented default | The URL where the file can be downloaded from. |
video.content_type | string | null | No | No documented default | The mime type of the file. |
video.file_size | integer | null | No | No documented default | The size of the file in bytes. |
video.file_name | string | null | No | No documented default | The name of the file. It will be auto-generated if not provided. |
prompt | string | Yes * | No documented default | The prompt used for generation. |
{
"title": "ExtendVideoOutput",
"type": "object",
"properties": {
"seed": {
"title": "Seed",
"type": "integer",
"description": "The seed used for generation."
},
"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"
],
"examples": [
{
"url": "https://storage.googleapis.com/falserverless/example_outputs/ltx-v095_extend.mp4"
}
],
"description": "The generated video file."
},
"prompt": {
"title": "Prompt",
"type": "string",
"examples": [
"Woman walking on a street in Tokyo"
],
"description": "The prompt used for generation."
}
},
"x-webot-order-properties": [
"video",
"prompt",
"seed"
],
"required": [
"video",
"prompt",
"seed"
]
}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.
Your requests
LTX Video 0.9.8 13B Distilled - Extend Video · Your account only
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| Request ID | Created at (IST) | Status | Credits used | Refunded | Processing time | Report |
|---|
Your model analytics
LTX Video 0.9.8 13B Distilled - Extend Video · Request dates in IST
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How to use LTX Video 0.9.8 13B Distilled — Extend Video
Give the model an existing clip and instructions for what should happen next. It generates additional footage to extend the scene.
Required inputs
- 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.
- ExtendVideoConditioningInput: The source video or videos. The model needs an accessible file in a supported format. Check length, resolution and audio requirements in the form before submitting.
Workflow
- Prepare your source material and fill the required inputs above. Review the supported settings for this model.
- Sign in to calculate the credit estimate. Review the estimate before choosing Generate.
- 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
- Continue a short scene.
- Add a follow-up action to a clip.
Key settings
- 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.
- ExtendVideoConditioningInput
- The source video or videos. The model needs an accessible file in a supported format. Check length, resolution and audio requirements in the form before submitting.
- Strength
- How much influence or change is applied to the source. In many editing models, higher strength means a larger change, while lower strength keeps more of the original. Direction and scale can differ between models: check the specific description below before changing it. Minimum: 0. Maximum: 1
- Limit Number of Frames
- An upper limit on this particular count, such as images, search results or characters. A higher limit allows more items; it does not force the model to produce that many.
- Reverse Video
- Play or process the sequence in reverse order. This reverses the direction of time; it does not mirror the picture from left to right.
- Video URL
- The source video or videos. The model needs an accessible file in a supported format. Check length, resolution and audio requirements in the form before submitting.