Metadata-Version: 2.1
Name: mm-tot
Version: 0.0.2
Summary: ToT - Pytorch
Home-page: https://github.com/kyegomez/MultiModal-ToT
License: MIT
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering
Author: Kye Gomez
Author-email: kye@apac.ai
Requires-Python: >=3.6,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Project-URL: Repository, https://github.com/kyegomez/MultiModal-ToT
Description-Content-Type: text/markdown

[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)

# MultiModal Tree of Thoughts
Multi-Modal Foundation Model -> Deepfloyd iF or stable diffusion -> mmllm -> if

The objective is to implement DALLE-3 where given an input task to generate an image => its fed and enriched by the multimodal llm => passed into image generation



# Appreciation
* Lucidrains
* Agorians


# Install
`pip install mm-tot`

# Usage



# Architecture

# Todo


# License
MIT


