joeygambino/LTX-2.5-Quantized

text-to-video model by joeygambino

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LTX-2.5 generates picture and sound in one pass. It is also 42 GB of bf16 weights, and the text encoder beside it is another 26 GB. This repo is the set of weights that make it run on a card that does not have that. Two families, because ComfyUI has two loaders and people are split across them: use ComfyUI's own quantisation system (comfyquant + the comfy-kitchen kernels), the same machinery Lightricks' official int8-convrot build uses. The 4-bit ones are the smallest way to run this model without a custom node in the graph. Sizes are measured, not estimated. "Fits 16 GB" assumes the text encoder is not resident at the same time — ComfyUI frees it before sampling — and tiled VAE decode. File sizes are decimal GB (bytes / 10^9); card capacities are the usual binary GiB, so a 15.9 GB file occupies 14.8 GiB of a 16…

joeygambino/LTX-2.5-Quantized on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-29T01:29:46.561Z

Inside the original model card — Document outline
  1. LTX-2.5 22B — quantised for a 16 GB card
  2. What fits
  3. The 16 GB recipe
  4. How these were made
  5. Two formats in one file
  6. Why there is no FP8 build here
  7. Smaller than the alternatives, and why
  8. What they actually look like
  9. Honest limits
  10. License

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Model overview

joeygambino/LTX-2.5-Quantized is a text-to-video model repository published by joeygambino on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-video
Library
Not reported
Recent downloads (30 days)
9,214
Cumulative likes
13
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-08-13T10:55:56.000Z
Last modified
2026-08-21T16:02:35.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Lightricks/LTX-2.5

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

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Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.159Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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