🧠
Model

Lightricks LTXV

by ltxvideo civitai-model--982559
Nexus Index
46.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 62
R: Recency 100
Q: Quality 50
Tech Context
Vital Performance
10.7K DL / 30D
0.0%
Audited 46.7 FNI Score
Tiny - Params
- Context
10.7K Downloads
Restricted COMMERCIAL License
Model Information Summary
Entity Passport
Registry ID civitai-model--982559
License commercial
Provider civitai
📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{civitai_model__982559,
  author = {ltxvideo},
  title = {Lightricks LTXV Model},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/model/civitai-model--982559}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
ltxvideo. (2026). Lightricks LTXV [Model]. Free2AITools. https://free2aitools.com/model/civitai-model--982559

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download 982559
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

46.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 62
Recency (R) 100
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Lightricks LTXV: Semantic (S:50), Authority (A:0), Popularity (P:62), Recency (R:100), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

Technical Deep Dive

Lightricks LTXV Lightricks is now available to Civitai users in both text-to-video and image-to-video modes, within the Civitai Generator! For more details, check out our guide to video in the Civitai Generator ! Update: 5/8/2025 - New Version! 13b 0.9.7 + 13b 0.9.7 fp8! New sample images, guide, and workflow to follow! Update: 4/18/2025 - New Version! 0.9.6 + 0.9.6 Distilled! You can plug 0.9.6 into the same workflows and it'll work, but the Distilled version requires a new workflow/node. Update: 3/6/2025 - New Version! 0.9.5! You'll need new workflows to use the new model, examples available here - https://education.civitai.com/civitais-quickstart-guide-to-lightricks-ltxv/#workflows-model-version-0-9-5-latest-model Originally posted on Huggingface . Read our Lightricks LTXV Quickstart Guide on the Education Hub! This model card focuses on the model associated with the LTX-Video model, codebase available here . LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 24 FPS videos at a 768x512 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content. We provide a model for both text-to-video as well as image+text-to-video usecases. General tips: The model works on resolutions that are divisible by 32 and number of frames that are divisible by 8 + 1 (e.g. 257). In case the resolution or number of frames are not divisible by 32 or 8 + 1, the input will be padded with -1 and then cropped to the desired resolution and number of frames. The model works best on resolutions under 720 x 1280 and number of frames below 257. Prompts should be in English. The more elaborate the better. Good prompt looks like The turquoise waves crash against the dark, jagged rocks of the shore, sending white foam spraying into the air. The scene is dominated by the stark contrast between the bright blue water and the dark, almost black rocks. The water is a clear, turquoise color, and the waves are capped with white foam. The rocks are dark and jagged, and they are covered in patches of green moss. The shore is lined with lush green vegetation, including trees and bushes. In the background, there are rolling hills covered in dense forest. The sky is cloudy, and the light is dim.

âš ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
10.7KDownloads
🔄 Daily sync (03:00 UTC)

AI Summary: Based on CivitAI metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
civitai-model--982559
slug
civitai-982559-lightricks-ltxv
source
civitai
author
ltxvideo
license
commercial
tags
[, ", v, i, d, e, o, , g, n, r, a, t, ,, x, 2, m, l, h, c, k, s, b, p, -, f, u, ]

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
text-to-image

📊 Engagement & Metrics

downloads
10,746
stars
0
forks
0

Data indexed from public sources. Updated daily.