MLXBits/sulphur-2-distill-mlx-q4

This repository hosts custom implementations of the LTX2.3 video AI model, refined specifically for high-fidelity generation using the Sulphur 2 architecture. It has been converted to Apples MLX architecture and quantized down to Q4, to maximize memory efficiency. It has been tested on a 32GB M5 Silicon Mac, and that is the lowest recommended RAM for this model.

If you are not on a Mac, this madel variant is not for you.

Model Overview

This implementation represents a highly optimized workflow built around the LTX2.3 core.

• —Base Model: LTX2.3
• —Refinement Applied: Sulphur 2
• —Fusion Detail: The Sulphur 2 refinements have been successfully fused into the `transformer-distilled.safetensors` checkpoint, providing a unified generation experience.
• —Implementation: MLX Conversion
• —Quantization: FP4 (Optimized for performance and memory footprint)
• —Target Pipeline: 8/3 Pipeline (Optimized for generation workflow)

Usage Guide

Core Workflow (Recommended)

For the best results and fastest generation times, users should rely on the integrated 8/3 pipeline.

• —Primary Generation: Use the fused transformer-distilled.safetensors checkpoint to access the Sulphur 2 quality enhancements baked into the LTX2.3 base.
• —LoRAs: No external LoRAs are required when using the fused model for Sulphur 2 quality, but have been included in this repo for convenience.

Hardware & Compute Notes

• —Primary Platform: Optimized for macOS compute environments on Apple silicon M-series SOC's.
• —AI Engine: Built around the MLX framework integration.

Prompting Guidelines (LTX Specific)

To achieve optimal generation quality with this model, adhere strictly to the following prompting conventions:

1. 1.Structure: Aim for a single, flowing paragraph.
2. 2.Tense: Use present tense verbs for all actions and movements.
3. 3.Detail Level: Match the level of descriptive detail to the intended shot scale (e.g., high detail for close-ups, broader strokes for wide shots).
4. 4.Flow: Describe the camera movement relative to the subject matter.
5. 5.Length Target: Aim for 4–8 descriptive sentences to maintain focus and coherence.

Note: Model coherence (and body horror) has a swift uptake in clips going past ~17 seconds. Test with shorter clips.