FairyTailor: Multimodal Generative Framework for Storytelling

Overview

FairyTailor: Multimodal Generative Framework for Storytelling

Human-in-the-loop visual story co-creation.

Users can create a cohesive children's story by weaving generated texts and retrieved images with their input. With co-creation, writers contribute their creative thinking, while generative models contribute to their constant workflow. FairyTailor adds another modality and modifies the text generation process to help producing a coherent and creative story.

Architecture

Set-up (development)

After cloning the repository:

Client (Vue 2.6)

Install and check that the client compiles:

cd client
npm i
npm run build

Backend (FASTAPI)

Install and activate the environment (conda provided):

conda env create -f environment.yml
conda activate MultiModalStory

Install environment globally in the directory:

pip install -e .
pip install git+https://github.com/openai/CLIP.git

After installation run:

python -m spacy download en_core_web_sm

In python terminal:

nltk.download('wordnet')
nltk.download('sentiwordnet')
nltk.download('averaged_perceptron_tagger')

Large Data Management (dvc)

Our large data files are stored on IBM's Cloud Object Storage, and to pull data files from that platform you will use a special, read-only .dvc/config file.

dvc pull -f

Which will pull:

  • backend/outputs (five preset stories)
  • backend/story_generator/downloaded (transformers)
  • client/public/unsplash25k (styled images)

Running the framework during developemnt

Client:

cd client
npm run devw

Backend (with server auto reload):

uvicorn backend.server:app --reload --reload-dir backend

Open the uvicorn server localhost:8000 in your web browser

Modifications Ideas:

New huggingface transformer

  • Place the transformer in backend/story_generator/downloaded directory.
  • Update the current model path by changing the constant FINETUNED_GPT2_PATH in backend/story_generator/constants.py.

New images folder

  • Replace the folder client/public/unsplash25k/sketch_images1024 with yours.
  • Update the current path by changing the constant IMAGE_PATH in client/src/components/Constants.js.

API functionalities

  • Add functions to the backend endpoint at backend/server/main.py.
  • Update client/src/js/api/mainApi.js to call the backend endpoint from the client.
  • Update the corresponding user components in client/src/components.
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis Overview OpenABC-D is a large-scale labeled dataset generate

NYU Machine-Learning guided Design Automation (MLDA) 31 Nov 22, 2022
Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)

Distributed Deep Learning in Open Collaborations This repository contains the code for the NeurIPS 2021 paper "Distributed Deep Learning in Open Colla

Yandex Research 96 Sep 15, 2022
A neuroanatomy-based augmented reality experience powered by computer vision. Features 3D visuals of the Atlas Brain Map slices.

Brain Augmented Reality (AR) A neuroanatomy-based augmented reality experience powered by computer vision that features 3D visuals of the Atlas Brain

Yasmeen Brain 10 Oct 06, 2022
《DeepViT: Towards Deeper Vision Transformer》(2021)

DeepViT This repo is the official implementation of "DeepViT: Towards Deeper Vision Transformer". The repo is based on the timm library (https://githu

109 Dec 02, 2022
Technical Indicators implemented in Python only using Numpy-Pandas as Magic - Very Very Fast! Very tiny! Stock Market Financial Technical Analysis Python library . Quant Trading automation or cryptocoin exchange

MyTT Technical Indicators implemented in Python only using Numpy-Pandas as Magic - Very Very Fast! to Stock Market Financial Technical Analysis Python

dev 34 Dec 27, 2022
Contrastive Learning with Non-Semantic Negatives

Contrastive Learning with Non-Semantic Negatives This repository is the official implementation of Robust Contrastive Learning Using Negative Samples

39 Jul 31, 2022
Implementation of Pix2Seq in PyTorch

pix2seq-pytorch Implementation of Pix2Seq paper Different from the paper image input size 1280 bin size 1280 LambdaLR scheduler used instead of Linear

Tony Shin 9 Dec 15, 2022
Tello Drone Trajectory Tracking

With this library you can track the trajectory of your tello drone or swarm of drones in real time.

Kamran Asgarov 2 Oct 12, 2022
ReferFormer - Official Implementation of ReferFormer

The official implementation of the paper: Language as Queries for Referring Video Object Segmentation Language as Queries for Referring Video Object S

Jonas Wu 232 Dec 29, 2022
Code and data accompanying our SVRHM'21 paper.

Code and data accompanying our SVRHM'21 paper. Requires tensorflow 1.13, python 3.7, scikit-learn, and pytorch 1.6.0 to be installed. Python scripts i

5 Nov 17, 2021
Transformers based fully on MLPs

Awesome MLP-based Transformers papers An up-to-date list of Transformers based fully on MLPs without attention! Why this repo? After transformers and

Fawaz Sammani 35 Dec 30, 2022
Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"

When2com: Multi-Agent Perception via Communication Graph Grouping This is the PyTorch implementation of our paper: When2com: Multi-Agent Perception vi

34 Nov 09, 2022
CoaT: Co-Scale Conv-Attentional Image Transformers

CoaT: Co-Scale Conv-Attentional Image Transformers Introduction This repository contains the official code and pretrained models for CoaT: Co-Scale Co

mlpc-ucsd 191 Dec 03, 2022
A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

Knodle (Knowledge-supervised Deep Learning Framework) - a new framework for weak supervision with neural networks. It provides a modularization for se

93 Nov 06, 2022
Recommendationsystem - Movie-recommendation - matrixfactorization colloborative filtering recommendation system user

recommendationsystem matrixfactorization colloborative filtering recommendation

kunal jagdish madavi 1 Jan 01, 2022
Supplementary code for the experiments described in the 2021 ISMIR submission: Leveraging Hierarchical Structures for Few Shot Musical Instrument Recognition.

Music Trees Supplementary code for the experiments described in the 2021 ISMIR submission: Leveraging Hierarchical Structures for Few Shot Musical Ins

Hugo Flores García 32 Nov 22, 2022
Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)

Noise Contrastive Estimation for pyTorch Overview This repository contains a re-implementation of the Noise Contrastive Estimation algorithm, implemen

Denis Emelin 42 Nov 24, 2022
Implementation for "Manga Filling Style Conversion with Screentone Variational Autoencoder" (SIGGRAPH ASIA 2020 issue)

Manga Filling with ScreenVAE SIGGRAPH ASIA 2020 | Project Website | BibTex This repository is for ScreenVAE introduced in the following paper "Manga F

30 Dec 24, 2022
Code for IntraQ, PyTorch implementation of our paper under review

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization paper Requirements Python = 3.7.10 Pytorch == 1.7

1 Nov 19, 2021
Changing the Mind of Transformers for Topically-Controllable Language Generation

We will first introduce the how to run the IPython notebook demo by downloading our pretrained models. Then, we will introduce how to run our training and evaluation code.

IESL 20 Dec 06, 2022