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VIDEO GENERATION · PRO TIER

LTX-Videopro

LTX-Video is the fastest open video generation model — by Lightricks (the studio behind Facetune, Photoleap). Generates 5 seconds of video in approximately 4 seconds on a single RTX 4090. State-of-the-art quality at unprecedented speed, with MIT-license weights.

Install via WHMCS → Visit github.com ↗

🎞️ Video generation Min 16384 MB RAM Port 7862 (http) Tier pro

// What it is

A closer look.

LTX-Video is the fastest open video generation model — by Lightricks (the studio behind Facetune, Photoleap). Generates 5 seconds of video in approximately 4 seconds on a single RTX 4090. State-of-the-art quality at unprecedented speed, with MIT-license weights.

The video equivalent of "1-click image gen" — the response to "video AI is too slow for real workflows".

// Use cases

What it's for.

Concrete scenarios where teams pick LTX-Video over the SaaS alternative.

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Text-to-video

natural language prompt → 5s MP4

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Image-to-video

animate any still image with motion descriptions

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Real-time iteration

generate, tweak, re-generate fast enough for design loops

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Marketing videos at scale

social clips, ads, product B-roll

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Storyboard previs

quick video drafts for film/animation pre-production

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5-second segments

chain for longer durations via consistent frame strategies

// Who it's for

Built for these teams.

If your team profile matches one of these, LTX-Video is a strong fit out of the box.

Profile A

Content creators

producing social video at scale

Profile B

Marketing teams

generating campaign B-roll

Profile C

AI startups

building video products (LTX is fast enough for product flows)

Profile D

Designers

previsualizing motion before committing to expensive production

Profile E

Hosting providers

offering "Real-time video gen" as premium tier

// Differentiators

Why teams pick LTX-Video.

When evaluating self-hosted options for this category, here are the dimensions on which LTX-Video consistently lands above the alternatives.

✓MIT license — fully open, commercial OK
✓Speed — ~4 sec per 5-sec video on RTX 4090 (vs minutes for CogVideoX, HunyuanVideo)
✓Quality — matches/exceeds CogVideoX-5B at fraction of compute
✓Trained on long captions — detailed prompts give better results
✓Both text2vid + img2vid — in one model
✓Lightricks pedigree — production-quality engineering

// Integrations

Connects to.

The stack you'll plug LTX-Video into — services, protocols, and adjacent apps in the BluixApps catalog.

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Gradio web UI

out-of-box

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Diffusers pipeline

Python automation friendly

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ComfyUI nodes

community wrapper (BluixApps ships separately)

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API mode

Gradio auto-exposes REST endpoints

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Pair with image gen

Flux/SDXL → still image → LTX img2vid

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Pair with audio

BluixApps XTTS for narration → mux with FFmpeg

// Adoption & deployment

Notable users & community

9k+ GitHub stars (Dec 2024 release, growing fast)
Lightricks backing (mobile video production veterans)
Featured in major AI tracker newsletters (BensBites, AlphaSignal)
Active HuggingFace community LoRAs emerging
Discord community + responsive maintainers

What we ship

Cloned Lightricks/LTX-Video repo, mounted at /opt/ltxvideo/repo
pytorch/pytorch CUDA 12.4 base
Gradio UI launched with --listen 0.0.0.0 --port 7860
Persistent volumes for repo, models (~5 GB), outputs (MP4)
Install report at /root/bluixapps/ltxvideo.txt
GPU pre-flight check via bluixapps_ensure_nvidia_runtime
Backup hook covers models + outputs
Suggested pairings (Flux for stills, XTTS for audio, ComfyUI for advanced workflows)