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aPixelBytes-Pokemon

Text-to-Image
PyTorch
Safetensors
English
image-generation
text-generation
autio-generation
multimodal
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metadata
datasets:
  - ffurfaro/PixelBytes-PokemonAll
language: en
library_name: pytorch
license: mit
pipeline_tag: text-to-image
tags:
  - image-generation
  - text-generation
  - autio-generation
  - multimodal

PixelBytes: Unified Multimodal Generation

Welcome to the PixelBytes repository! This project features models designed to generate text, audio and images simultaneously, pixel by pixel, using a unified embedding. (only testing weight)

Overview

Key Concepts

  • Image Transformer: Generates images pixel by pixel.
  • Bi-Mamba+: A bidirectional model for time series prediction.
  • MambaByte: A selective state-space model without tokens.

The PixelByte model generates mixed sequences of text and images, handling transitions with line breaks and maintaining image dimension consistency.

Dataset

We use the PixelBytes-PokemonAll dataset, available on Hugging Face: PixelBytes-PokemonAll. It contains text and image sequences of Pokémon for training our model.

Models Trained

  • 3 LSTM Models: 2 Auto-regressive and 1 only predictive.

Citation

Furfaro, F. (2024). PixelBytes: A Unified Multimodal Representation Learning Project. (https://github.com/fabienfrfr/PixelBytes)

Thank you for exploring PixelBytes! We hope this model aids your multimodal generation projects.