A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN.

artificial intelligence

cosmic love and attention

fire in the sky

a pyramid made of ice

a lonely house in the woods

marriage in the mountains

lantern dangling from a tree in a foggy graveyard

a vivid dream

balloons over the ruins of a city

Big Sleep

Ryan Murdock has done it again, combining OpenAI's CLIP and the generator from a BigGAN! This repository wraps up his work so it is easily accessible to anyone who owns a GPU.

You will be able to have the GAN dream up images using natural language with a one-line command in the terminal.

Original notebook Open In Colab

Simplified notebook Open In Colab


$ pip install big-sleep


$ dream "a pyramid made of ice"

Images will be saved to whereever the command is invoked


You can invoke this in code with

from big_sleep import Imagine

train = Imagine(
    text = "fire in the sky",
    lr = 5e-2,
    save_every = 25,
    save_progress = True


To save the progression of images during training, you simply have to supply the --save-progress flag

$ dream "a bowl of apples next to the fireplace" --save-progress --save-every 100


Deep Daze - CLIP and a deep SIREN network


    title  = {CLIP: Connecting Text and Images},
    author = {Alec Radford, Ilya Sutskever, Jong Wook Kim, Gretchen Krueger, Sandhini Agarwal},
    year   = {2021}
    title   = {Large Scale GAN Training for High Fidelity Natural Image Synthesis}, 
    author  = {Andrew Brock and Jeff Donahue and Karen Simonyan},
    year    = {2019},
    eprint  = {1809.11096},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG}