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Mirasol Pytorch

Mirasol Pytorch is a Python/PyTorch library implementing the Transformer Combiner variant of the Mirasol multimodal autoregressive model. It accepts audio, video and text tensors to compute a training loss, supports sampled text generation conditioned on audio and video, and includes audio/video reconstruction losses and similarity regularization.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Mirasol Pytorch — OpenViST project profile in AI Models.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a code-level starting point for experimenting with Mirasol’s Transformer Combiner and multimodal training or text generation, rather than a ready-to-use generation app.

Who it is for

  • Researchers exploring multimodal autoregressive modeling.
  • Developers prototyping PyTorch models that combine audio, video and text.

Documented uses

  • Compute a training loss from audio, video and text inputs.
  • Sample text conditioned on supplied audio and video after training.
  • Experiment with audio and video reconstruction objectives and similarity regularization.
Before you choose

Requirements & limits

The repository is public and identifies the project as MIT licensed. The README documents installation using pip.

  • The implementation focuses on the Transformer Combiner and omits other Mirasol variants.
  • The usage example takes audio, video and text tensors; it does not document a data-preparation workflow.
  • The README shows generation after training, not a pretrained model or an end-user interface.
  • The implementation is written in Python and uses PyTorch.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install the package and initialize Mirasol

Set up the documented Python import and configure a Mirasol model instance.

Before you start

  • Python environment with pip
  • PyTorch, imported as torch
  • The mirasol-pytorch package

Steps

  1. Install the package with the command below.

    Documented command
    pip install mirasol-pytorch

  2. Import torch and Mirasol from mirasol_pytorch.

  3. Initialize Mirasol with model dimensions and audio/video encoder settings, following the README example.

Expected outcome

A configured Mirasol model instance is ready for the documented tensor-input usage stage.

Guide limitations

  • The README does not specify Python or PyTorch version requirements.
  • This setup guidance does not cover dataset preparation, training execution, or deployment.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
17 October 2026
Original website title
lucidrains/mirasol-pytorch · Official homepage title · retained in its source language
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