Qwen 3.6 + LTX 2.3 Text‑to‑Video Pipeline Demo
Run a small test on your GPU to benchmark Qwen 3.6 + LTX 2.3 pipeline and compare to older LTX version.
Run a small test on your GPU to benchmark Qwen 3.6 + LTX 2.3 pipeline and compare to older LTX version.
Summary
A Reddit user demonstrates a full round‑trip workflow that converts video into text prompts using Qwen 3.6, then generates new video from those prompts with LTX 2.3 text‑to‑video. The audio is synthesized with Qwen3‑TTS and ACE‑Step 1.5. The entire process ran for about 36 hours on a single RTX 3060 12GB GPU. This experiment builds on a previous attempt that used an older LTX model, showing the improvements in the newer LTX 2.3 version. The demo highlights the feasibility of end‑to‑end AI video creation on consumer hardware.
The key components are Qwen 3.6 for prompt extraction, LTX 2.3 for video generation, Qwen3‑TTS for audio, and ACE‑Step 1.5 for additional audio processing. The runtime and hardware requirements illustrate the current computational cost of such pipelines.
This post serves as a practical reference for developers interested in testing Qwen and LTX on modest GPUs and comparing performance to earlier LTX releases.
Key changes
- Qwen 3.6 used for video‑to‑text prompt extraction
- LTX 2.3 used for text‑to‑video generation
- Qwen3‑TTS and ACE‑Step 1.5 generate audio
- Runtime ~36h on RTX 3060 12GB
- Improved performance over previous LTX model