🧠
Ltx2.3 Image Base model by elismasilva
⭐ 39.3
🧠
Model

Ltx2.3 Image Base

by elismasilva elismasilva/ltx2.3-image-base
Free2AITools Nexus Index
39.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 4
R: Recency 95
Q: Quality 65
Tech Context
13.12 Params
4.096K Ctx
Vital Performance
35 DL / 30D
Source β†’

Task categories from upstream metadata

🎨AI Art Gen

Technical Constraints

Experimental / High Latency
Low FNI signal 39.3 FNI Score
13.12B Params
4k Context
35 Downloads
24G GPU ~12GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID elismasilva/ltx2.3-image-base
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~11.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{elismasilva_ltx2_3_image_base,
  author = {elismasilva},
  title = {Ltx2.3 Image Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/elismasilva/ltx2.3-image-base}},
  note = {Accessed via Free2AITools.}
}
APA Style
elismasilva. (2026). Ltx2.3 Image Base [Model]. Free2AITools. https://huggingface.co/elismasilva/ltx2.3-image-base

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ltx2.3-image-base
πŸ€— HF Download
huggingface-cli download elismasilva/ltx2.3-image-base

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 4
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ltx2.3 Image Base: Authority (A:0), Popularity (P:4), Recency (R:95), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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πŸš€ What's Next?

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Deployment reference

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Technical Deep Dive

⚠️ Incomplete Data

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

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
35Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--elismasilva--ltx2.3-image-base
slug
elismasilva--ltx2.3-image-base
source
huggingface
author
elismasilva
license
Other
tags
diffusers, safetensors, text-to-image, image-to-image, image-generation, ltx-2, ltx-2-3, ltx-video, ltxv, lightricks, base_model:lightricks/ltx-2.3, base_model:finetune:lightricks/ltx-2.3, license:other, diffusers:ltx2imagepipeline, region:us

βš™οΈ Technical Specs

params billions
13.12
context length
4,096
pipeline tag
text-to-image
vram gb
11.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
35

Data indexed from public sources. Updated daily.