--- title: DALL·E mini emoji: 🥑 colorFrom: red colorTo: purple sdk: streamlit app_file: app/app.py pinned: false --- # 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](https://huggingface.co/spaces/flax-community/dalle-mini) (temporarily in beta on Huging Face Spaces but soon to be open to all). ## How does it work? Refer to [our report](https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA). ## Development ### Dependencies Installation The root folder and associated [`requirements.txt`](./requirements.txt) is only for the app. For development, use [`dev/requirements.txt`](dev/requirements.txt) or [`dev/environment.yaml`](dev/environment.yaml). ### Training of VQGAN The VQGAN was trained using [taming-transformers](https://github.com/CompVis/taming-transformers). We recommend using the latest version available. ### Conversion of VQGAN to JAX Use [patil-suraj/vqgan-jax](https://github.com/patil-suraj/vqgan-jax). ### Training of Seq2Seq Refer to [`dev/seq2seq`](dev/seq2seq) folder. You can also adjust the [sweep configuration file](https://docs.wandb.ai/guides/sweeps) 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`](dev/inference/inference_pipeline.ipynb). [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/borisdayma/dalle-mini/blob/main/dev/inference/inference_pipeline.ipynb) ## 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 - [Boris Dayma](https://github.com/borisdayma) - [Suraj Patil](https://github.com/patil-suraj) - [Pedro Cuenca](https://github.com/pcuenca) - [Khalid Saifullah](https://github.com/khalidsaifullaah) - [Tanishq Abraham](https://github.com/tmabraham) - [Phúc Lê Khắc](https://github.com/lkhphuc) - [Luke Melas](https://github.com/lukemelas) - [Ritobrata Ghosh](https://github.com/ghosh-r) ## Acknowledgements - 🤗 Hugging Face for organizing [the FLAX/JAX community week](https://github.com/huggingface/transformers/tree/master/examples/research_projects/jax-projects) - Google Cloud team for providing access to TPU's