Instructions to use SyFeee/LTX-2.3-SyFe-Plain-AV-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use SyFeee/LTX-2.3-SyFe-Plain-AV-LoRA with LTX.io:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --frozen
# Download the weights from this repo, plus the Gemma text encoder hf download SyFeee/LTX-2.3-SyFe-Plain-AV-LoRA --local-dir models/LTX-2.3-SyFe-Plain-AV-LoRA hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Text/image-to-video with the LoRA on the HQ two-stage base pipeline uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path path/to/checkpoint.safetensors \ --distilled-lora path/to/distilled_lora.safetensors 0.8 \ --spatial-upsampler-path path/to/spatial_upsampler.safetensors \ --gemma-root models/gemma-3-12b \ --lora models/LTX-2.3-SyFe-Plain-AV-LoRA/<weights>.safetensors 1.0 \ --prompt "your prompt here" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
SyFe LTX-2.3 Plain and Audio-Video LoRAs
Self-trained SyFe LoRA checkpoints for Chinese-drama generation, bilingual prompting, and joint audio-video experiments on LTX-2.3 22B-dev.
Checkpoints
| Run | Purpose | Rank | Steps | Status |
|---|---|---|---|---|
tv306954_run01 |
First multi-character show baseline | 64 | 3,000 | Kept baseline; final loss 0.2897 |
v5_unified |
Rich 747-clip Chinese-drama corpus | 32 | 4,000 | Shipped plain LoRA |
official_704_cuval |
Native 1280x704 official-trainer control run | 32 | 3,000 | Experimental control |
SyFe_Bilingual_Plain_704 |
Bilingual 704p production stack component | 32 | 10,000 | Deployed checkpoint |
av_lora_v1_production |
Joint audio-video experiment | 64 | 4,000 | Archived |
av_lora_v2_production |
Joint audio-video P10.5 experiment | 64 | 4,000 | Kept with caveats |
The AV checkpoints can generate ambient music, breathing, and sound effects, but they did not produce reliable intelligible dialogue. They should not be described as standalone voice-cloning models; use the ID-LoRA release for reference-voice conditioning.
Run folders include final weights and available training configs. v5_unified and the bilingual deployment checkpoint are release copies whose original preprocessing data is not included.
Use is subject to the LTX-2 community license.
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Model tree for SyFeee/LTX-2.3-SyFe-Plain-AV-LoRA
Base model
Lightricks/LTX-2.3