lisaai 0.2.0

High-level APIs and training utilities for the LISA Vision-to-Speech model

lisaai

High-level, repo-independent tools for the LISA Vision-to-Speech model.

Features (v0.2.0)

• True Vision-to-Speech: Direct vision-to-mel-spectrogram synthesis avoiding any text/CTC intermediate representation.
• Improved Fusion: Proper cross-attention between vision and audio streams.
• Training Utilities: Full support for masked modelling, contrastive alignment, and mel-generation losses.

Install

From PyPI:

pip install lisaai --upgrade

From source:

pip install -e .

CLI

• Inspect a checkpoint (folder or .safetensors):

lisa.inspect "PATH/TO/MODEL_DIR"

• Compare param counts by saved prefixes:

lisa.compare-params "PATH/TO/MODEL_DIR"

Python API

from lisaai import inspect_checkpoint, compare_param_counts

rep = inspect_checkpoint("PATH/TO/MODEL_DIR")
print(rep["inferred_dimensions"])  # {vision_embed_dim, fusion_hidden_dim}

To use runtime loading (optional, if the original repo is available):

from lisaai import load_model
m = load_model()  # will use LISA_MODEL_PATH if set