LTX-Video (Lightricks)

VideogenereringTilgjengelig
av LightricksModell-ID: ltx-video-lightricks

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

Pris
≈ 0,0229 USD/kjøring
Input → output
Tekst + Bilde → Video
Utvikler
Lightricks
Oppdatert
23. september 2026
01

Playground

Prøv LTX-Video (Lightricks)

Inndata og resultat

≈ 0,0229 USD/kjøring
Prøv LTX-Video (Lightricks)
Resultat
Videoen din vises her.

Denne kjøringen

ca. 0,0229 USD · 2,29 credits

0,0685 USD (6,85 credits) reserveres ved start; faktisk GPU-tid faktureres.

For kontoer uten tidligere kjøp: kjøringer over 2 credits trenger påfyll.

Ny her?

10 gratis credits (0,10 USD) når du registrerer deg med Google

Kan brukes 24 timer etter registrering, opptil 5 kjøringer per dag og maksimalt 2 credits per kjøring. Andre påloggingsmetoder starter uten 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.

    Lengde: 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.

    Lengde: 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.

    Lengde: 0:04

    Settings

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

    aspect_ratio
    16:9
    length
    97
03

Om LTX-Video (Lightricks)

Kort sagtPer 23. september 2026

LTX-Video (Lightricks) er en modell fra Lightricks i kategorien Videogenerering. På Railwail koster LTX-Video (Lightricks) ≈ 0,0229 USD per kjøring.

Bakgrunn

Om Lightricks

Grunnlagt 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.

Besøk 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.

Parametere
2 billion

Evner

  • 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.

Trening og lisens

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

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

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

Kjente begrensninger

  • 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 amerikanske dollar. Bruk belastes fra forhåndsbetalt kreditt.
Typisk kjøring (≈ 19 s på L40S)0,0229 USD per kjøring
GPU-tid (L40S)0,00117 USD per GPU-sekund
  • Faktureres etter GPU-tiden kjøringen faktisk tar. Når kjøringen starter, blir 3× den typiske prisen reservert fra saldoen din og gjort opp etterpå.
  • 1 kreditt = 0,01 USD

Kostnadsberegner

Prisberegner

s

Typisk ifølge leverandøren: ca. 19,5 s

Totalt

2,29 USD

229 credits

Per kjøring

0,0229 USD · 2,29 credits

Fakturert etter faktisk GPU-tid; dette er et estimat.

05

API

Ring LTX-Video (Lightricks) med din Railwail API-nøkkel. Bruk denne modell-IDen i forespørselen:
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"
Sett nøkkelen din som RAILWAIL_API_KEYOpprett API-nøkkel

Videoer kjører asynkront: første kall returnerer en job_id; spør /api/v1/jobs/JOB_ID til statusen er completed.

06

Spesifikasjoner

Modell-ID
ltx-video-lightricks
Utvikler
Lightricks
Inndata
Tekst, Bilde
Utdata
Video
Fakturering
Etter bruk (tokens eller GPU-tid)
Modellstørrelse
2 billion
Lisens
Open weights under a permissive licence (research and commercial use with attribution).
Katalogoppføring oppdatert
23. september 2026

Inndataparametere

Inndataer og innstillinger fra modellens inndataskjema. Eksemplet i API-delen viser hvilke av dem APIen godtar.

  • promptobligatorisk
    Type: Tekst
    Standard: –
    Tillatte verdier: –
  • start_image
    Type: Bilde
    Standard: –
    Tillatte verdier: –

Merkelapper

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

Brukstilfeller

Hva det brukes 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 stilte spørsmål

Hva er LTX-Video (Lightricks)?

LTX-Video (Lightricks) er en modell fra Lightricks i kategorien Videogenerering. På Railwail kan du kalle den med en API-nøkkel gjennom Railwail API.

Hvor mye koster LTX-Video (Lightricks) på Railwail?

På Railwail koster LTX-Video (Lightricks) ≈ 0,0229 USD per kjøring. Du betaler for det hver forespørsel faktisk bruker. Bruk betales fra forhåndskjøpte kreditter; 1 kreditt tilsvarer 0,01 USD.

Hvilke innstillinger støtter LTX-Video (Lightricks)?

I henhold til inndataskjemaet kjenner LTX-Video (Lightricks) disse parametrene: prompt og start_image.

Hvor rask er LTX-Video (Lightricks)?

Det finnes ennå ikke nok målte kjøringer av LTX-Video (Lightricks) på Railwail til å angi en kjøretid. Det avhenger av inndataene, innstillingene og belastningen hos leverandøren.

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

Det avhenger av oppgaven. LTX-Video (Lightricks) (Lightricks) og Google Veo 3.1 (Google DeepMind) er begge modeller i kategorien Videogenerering. Sammenligningssiden viser prisene og spesifikasjonene deres side ved side.

Sammenlign LTX-Video (Lightricks) og Google Veo 3.1

Kan LTX-Video (Lightricks) bruke et bilde som inndata?

Ja. Send bildet i parameteren start_image.

Hvordan bruker jeg LTX-Video (Lightricks) gjennom API-en?

Opprett en Railwail API-nøkkel og send forespørselen din med modell-ID-en ltx-video-lightricks. Kodeeksempler for curl, Python og JavaScript finnes i API-delen av denne siden.

09

Sammenlignbare modeller

Alle i denne kategorien

Bruk LTX-Video (Lightricks) via APIen

Én API-nøkkel for alle modeller på Railwail. Bruk belastes fra forhåndsbetalt kreditt, 1 kreditt = 0,01 USD.