SimpleTuner/ltxvideo-2.3-distilled-convrot-int8
text-to-video model by SimpleTuner
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Model card & documentation
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This repository contains a transformer-only INT8 ConvRot quantization of the official Lightricks/LTX-2.3 distilled checkpoint. It is derived directly from ltx-2.3-22b-distilled.safetensors; no fine-tune, task adapter, or third-party model weights were merged. The file contains the main audiovisual transformer only. Load the text encoder, connectors, VAE, audio VAE, and vocoder from the official LTX 2.3 Diffusers pipeline. Weights use Comfy-style per-layer int8tensorwise sidecars and are consumed by an SDNQ Hadamard/ConvRot loader. The checkpoint was quantized on an NVIDIA H200 with Comfy-Org/comfy-model-tools commit 1fe341bb8a4e46f161a978b5faa2412d8c39c768: The packaging step retained model.diffusionmodel. tensors and omitted the bundled connector copies, since the target Diffusers pipeline supplies its connector components separately. The full per-layer measurements are in quantization-report.tsv. The artifact was loaded with SDNQ 0.2.3 into LTX2VideoTransformer3DModel with all…
Read the full model card ↗ · Preview checked 2026-09-30T06:49:16.836Z
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Model overview
SimpleTuner/ltxvideo-2.3-distilled-convrot-int8 is a text-to-video model repository published by SimpleTuner on Hugging Face. The source reports the diffusers library.
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
- diffusers
- Recent downloads (30 days)
- 4,684
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-07-29T22:35:20.000Z
- Last modified
- 2026-07-29T22:36:05.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Lightricks/LTX-2.3
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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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-30T06:39:15.661Z. 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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