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dalle-mini's Introduction

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DALL·E mini
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app/app.py
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DALL·E Mini

Generate images from a text prompt

Our logo was generated with DALL·E mini using the prompt "logo of an armchair in the shape of an avocado".

You can create your own pictures with the demo.

How does it work?

Refer to our report.

Development

Dependencies Installation

The root folder and associated requirements.txt is only for the app.

For development, use dev/requirements.txt or dev/environment.yaml.

Training of VQGAN

The VQGAN was trained using taming-transformers.

We recommend using the latest version available.

Conversion of VQGAN to JAX

Use patil-suraj/vqgan-jax.

Training of Seq2Seq

Refer to dev/seq2seq folder.

You can also adjust the sweep configuration file if you need to perform a hyperparameter search.

Inference Pipeline

To generate sample predictions and understand the inference pipeline step by step, refer to dev/inference/inference_pipeline.ipynb.

Open In Colab

FAQ

Where to find the latest models?

Trained models are on 🤗 Model Hub:

Where does the logo come from?

The "armchair in the shape of an avocado" was used by OpenAI when releasing DALL·E to illustrate the model's capabilities. Having successful predictions on this prompt represents a big milestone to us.

Authors

Acknowledgements

dalle-mini's People

Contributors

borisdayma avatar khalidsaifullaah avatar lkhphuc avatar patil-suraj avatar pcuenca avatar ritog avatar tmabraham avatar

Watchers

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