LTX-Video (Lightricks)

VideogenereringTilgængelig
af LightricksModell-ID: ltx-video-lightricks

Lightricks' 2B DiT video model. Realtime generation on consumer GPUs (~6s @ H100, 24fps).

Pris
≈ 0,0229 US$/kørsel
Input → output
Tekst + Billede → Video
Udvikler
Lightricks
Opdateret
23. september 2026
01

Playground

Prøv LTX-Video (Lightricks)

Input & resultat

≈ 0,0229 US$/kørsel
Prøv LTX-Video (Lightricks)
Resultat
Din video vises her.

Denne kørsel

ca. 0,0229 US$ · 2,29 credits

0,0685 US$ (6,85 credits) reserveres ved start; den faktiske GPU-tid faktureres.

For konti uden tidligere køb: kørsler over 2 credits kræver en opladning.

Ny her?

10 gratis credits (0,10 US$) når du tilmelder dig med Google

Kan bruges 24 timer efter tilmelding, op til 5 kørsler pr. dag og højst 2 credits pr. kørsel. Andre login-metoder starter uden credits.

02

Examples

Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
  • Prompt

    A woman with long brown hair and light skin smiles at another woman with long blonde hair. The woman with brown hair wears a black jacket and has a small, barely noticeable mole on her right cheek. The camera angle is a close-up, focused on the woman with brown hair's face. The lighting is warm and natural, likely from the setting sun, casting a soft glow on the scene. The scene appears to be real-life footage.

    Længde: 0:04

    Settings

    negative_prompt: low quality, worst quality, deformed, distorted, watermark

    aspect_ratio
    16:9
    length
    97
  • InputInput

    Prompt

    A man in a blue plaid shirt turns his head to look at a woman walking past in a red top. His expression is curious as he glances away from his companion in a light blue sleeveless top. The scene takes place on a busy city street with buildings and pedestrians visible in the background. The natural lighting suggests it's daytime. The camera captures the scene from street level, with the woman in red slightly out of focus in the foreground.

    Længde: 0:04

    Settings

    negative_prompt: low quality, worst quality, deformed, distorted, watermark

    aspect_ratio
    16:9
    length
    97
  • Prompt

    A chef prepares food in a professional kitchen. He has olive skin and dark, close-cropped hair, wearing traditional white chef's attire. Steam rises from the pan he's working with. The kitchen's stainless steel surfaces reflect the bright overhead lighting. The camera follows his hands as he cooks. The scene appears to be real-life footage.

    Længde: 0:04

    Settings

    negative_prompt: low quality, worst quality, deformed, distorted, watermark

    aspect_ratio
    16:9
    length
    97
03

Om LTX-Video (Lightricks)

Kort sagtFra 23. september 2026

LTX-Video (Lightricks) er en model af Lightricks i kategorien Videogenerering. På Railwail koster LTX-Video (Lightricks) ≈ 0,0229 US$ pr. kørsel.

Baggrund

Om Lightricks

Grundlagt 2013 · Jerusalem, Israel

Lightricks was founded in 2013 by Zeev Farbman (CEO), Yaron Inger, Itai Tsiddon, Nir Pochter and Amit Goldstein, spinning out of Hebrew University of Jerusalem's computer-graphics research group. The company is best known for the consumer photo and video apps Facetune, Videoleap, Photoleap and Filtertune, which together have hundreds of millions of installs. Lightricks raised more than $300M from Insight Partners, Goldman Sachs and others, at a $1.8B valuation. In November 2024 Lightricks open-sourced LTX-Video, a 2B-parameter real-time video diffusion model optimized for speed on consumer hardware. LTX-Video positioned the company as one of the few Western players shipping open-weight video AI, and is now embedded in the Videoleap and LTX Studio products.

Besøg Lightricks

Arkitektur

Diffusion Transformer (DiT) at 2B parameters with heavy spatial-temporal compression

LTX-Video is a 2B-parameter Diffusion Transformer designed for real-time-ish inference: at launch it generated 5-second 768x512 videos in under 4 seconds on a single H100, and 30-frame clips faster than real time. The architecture compresses video aggressively into a 1:192 spatio-temporal latent (vs the 1:48 typical of HunyuanVideo) using a heavy 3D causal VAE; the DiT denoiser then operates on this very compact latent grid. Position information uses 3D RoPE, and the model is trained with Flow Matching using v-prediction. Text conditioning combines a CLIP-style encoder and a Llama-class LLM encoder. LTX-Video supports text-to-video and image-to-video, with a 'mid-conditioning' mode that allows inserting an intermediate frame for guided motion. The model is published under an open licence designed to enable both research and commercial use.

Parametre
2 billion

Funktioner

  • Real-time-class generation: ~5s clip in ~4s on H100 at 768x512
  • Open-weight 2B-parameter DiT model
  • Text-to-video and image-to-video
  • Mid-frame conditioning for guided motion
  • Aggressive spatial-temporal compression (1:192 latent)
  • Runs on a single 24-48 GB consumer GPU with optimisations
  • Apache-style permissive licence on weights
  • Active community ecosystem on Hugging Face and ComfyUI
  • Best for: interactive creative tools, on-device pipelines, prototyping.

Træning og licens

Curated multi-million-clip dataset filtered for aesthetics, motion and caption alignment, with dense captions produced by a vision-language model.

Licens: Open weights under a permissive licence (research and commercial use with attribution).

Sikkerhedstests: Data-level filtering and recommended NSFW classifier for deployment; no formal RSP.

Kendte begrænsninger

  • Resolution capped at 768x512 in the base model
  • Short native duration (~5s)
  • No audio
  • Aggressive compression can cause loss of fine detail and text
  • Smaller parameter count than Mochi / Hunyuan limits absolute quality
04

Priser

Priser i US-dollar. Forbrug debiteres fra forudbetalte credits.
Typisk kørsel (≈ 19 s på L40S)0,0229 US$ pr. kørsel
GPU-tid (L40S)0,00117 US$ pr. GPU-sekund
  • Faktureres efter den GPU-tid, som kørslen faktisk tager. NÃ¥r kørslen starter, reserveres 3× den typiske pris fra din saldo og afregnes efterfølgende.
  • 1 kredit = 0,01 US$

Omkostningsberegner

Prisberegner

s

Typisk ifølge udbyderen: ca. 19,5 s

I alt

2,29 US$

229 credits

Pr. kørsel

0,0229 US$ · 2,29 credits

Fakturering efter faktisk GPU-tid; dette er et estimat.

05

API

Kald LTX-Video (Lightricks) med din Railwail API-nøgle. Brug dette model-ID i anmodningen:
curl https://railwail.com/api/v1/videos/generations \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ltx-video-lightricks",
    "prompt": "A slow drone shot over a misty pine forest at sunrise"
  }'

# Response: {"job_id": "...", "status": "queued", ...}
# Poll until status is completed, failed or cancelled:
curl https://railwail.com/api/v1/jobs/JOB_ID \
  -H "Authorization: Bearer $RAILWAIL_API_KEY"
Indstil din nøgle som RAILWAIL_API_KEYOpret API-nøgle

Videoer køres asynkront: det første kald returnerer et job_id; forespørg /api/v1/jobs/JOB_ID, indtil status er completed.

06

Specifikationer

Model-ID
ltx-video-lightricks
Udvikler
Lightricks
Input
Tekst, Billede
Output
Video
Fakturering
Efter forbrug (tokens eller GPU-tid)
Modelstørrelse
2 billion
Licens
Open weights under a permissive licence (research and commercial use with attribution).
Katalogelement opdateret
23. september 2026

Inputparametre

Inputs og indstillinger fra modellens inputskema. Eksemplet i API-afsnittet viser, hvilke af dem API'en accepterer.

  • promptpÃ¥krævet
    Type: Tekst
    Standard: –
    Tilladte værdier: –
  • start_image
    Type: Billede
    Standard: –
    Tilladte værdier: –

Tags

  • lightricks
  • ltx
  • text-to-video
  • open-weights
  • realtime
  • pricing-tbd
07

Anvendelsestilfælde

Hvad det bruges til

  • Real-time creative tools
  • Mobile / desktop on-device pipelines
  • Storyboarding and rapid iteration
  • Open-source research baseline
  • Image-to-video animation
  • Interactive prompting UX
08

Ofte stillede spørgsmål

Hvad er LTX-Video (Lightricks)?

LTX-Video (Lightricks) er en model fra Lightricks i kategorien Videogenerering. På Railwail kan du kalde den med en API-nøgle via Railwail API.

Hvad koster LTX-Video (Lightricks) på Railwail?

På Railwail koster LTX-Video (Lightricks) ≈ 0,0229 US$ pr. kørsel. Du betaler for det, som hver anmodning faktisk bruger. Forbrug betales fra forudbetalte credits; 1 credit svarer til 0,01 US$.

Hvilke indstillinger understøtter LTX-Video (Lightricks)?

Ifølge dens inputskema kender LTX-Video (Lightricks) disse parametre: prompt og start_image.

Hvor hurtig er LTX-Video (Lightricks)?

Der er endnu ikke nok målte kørsler af LTX-Video (Lightricks) på Railwail til at angive en udførelsestid. Det afhænger af inputtet, indstillingerne og belastningen hos provideren.

Er LTX-Video (Lightricks) bedre end Google Veo 3.1?

Det afhænger af opgaven. LTX-Video (Lightricks) (Lightricks) og Google Veo 3.1 (Google DeepMind) er begge modeller i kategorien Videogenerering. Sammenligningssiden viser deres priser og specifikationer side om side.

Sammenlign LTX-Video (Lightricks) og Google Veo 3.1

Kan LTX-Video (Lightricks) bruge et billede som input?

Ja. Send billedet i parameteren start_image.

Hvordan bruger jeg LTX-Video (Lightricks) via API'en?

Opret en Railwail API-nøgle og send din anmodning med model-ID'en ltx-video-lightricks. Kodeeksempler til curl, Python og JavaScript findes i API-sektionen på denne side.

09

Sammenlignelige modeller

Alle i denne kategori

Brug LTX-Video (Lightricks) via API'en

En API-nøgle til alle modeller på Railwail. Forbrug debiteres fra forudbetalte credits, 1 credit = 0,01 US$.