Text-to-Audio
LTX.io
English
ltx-audio
audio
audio-generation
speech
reference-conditioning
multi-speaker
flow-matching
diffusion
Instructions to use mifinkelson/scena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use mifinkelson/scena 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 mifinkelson/scena --local-dir models/scena hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/scena/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/scena/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/scena/<checkpoint>.safetensors \ --distilled-lora models/scena/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/scena/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
Fix: bundle audio_vae+vocoder config metadata (mel_bins etc.)
Browse files- audio_vae.safetensors +2 -2
audio_vae.safetensors
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