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2.8 KiB
2.8 KiB
min(DALL·E)
===========
|Open In Colab| <span class="escaped-code-point" data-escaped="[U+00A0]"><span class="char"> </span></span> |Replicate| <span class="escaped-code-point" data-escaped="[U+00A0]"><span class="char"> </span></span> |Join us on Discord|
This is a fast, minimal implementation of Boris Dayma’s `DALL·E
Mega <https://github.com/borisdayma/dalle-mini>`__. It has been stripped
down for inference and converted to PyTorch. The only third party
dependencies are numpy, requests, pillow and torch.
To generate a 4x4 grid of DALL·E Mega images it takes: - 89 sec with a
T4 in Colab - 48 sec with a P100 in Colab - 14 sec with an A100 on
Replicate - TBD with an H100 (@NVIDIA?)
The flax model and code for converting it to torch can be found
`here <https://github.com/kuprel/min-dalle-flax>`__.
Install
-------
.. code:: bash
$ pip install min-dalle
Usage
-----
Load the model parameters once and reuse the model to generate multiple
images.
.. code:: python
from min_dalle import MinDalle
model = MinDalle(is_mega=True, models_root='./pretrained')
The required models will be downloaded to ``models_root`` if they are
not already there. Once everything has finished initializing, call
``generate_image`` with some text and a seed as many times as you want.
.. code:: python
text = 'Dali painting of WALL·E'
image = model.generate_image(text, seed=0, grid_size=4)
display(image)
.. code:: python
text = 'Rusty Iron Man suit found abandoned in the woods being reclaimed by nature'
image = model.generate_image(text, seed=0, grid_size=3)
display(image)
.. code:: python
text = 'court sketch of godzilla on trial'
image = model.generate_image(text, seed=6, grid_size=3)
display(image)
.. code:: python
text = 'a funeral at Whole Foods'
image = model.generate_image(text, seed=10, grid_size=3)
display(image)
.. code:: python
text = 'Jesus turning water into wine on Americas Got Talent'
image = model.generate_image(text, seed=2, grid_size=3)
display(image)
.. code:: python
text = 'cctv footage of Yoda robbing a liquor store'
image = model.generate_image(text, seed=0, grid_size=3)
display(image)
Command Line
~~~~~~~~~~~~
Use ``image_from_text.py`` to generate images from the command line.
.. code:: bash
$ python image_from_text.py --text='artificial intelligence' --no-mega --seed=7
.. code:: bash
$ python image_from_text.py --text='trail cam footage of gollum eating watermelon' --mega --seed=1 --grid-size=3
.. |Open In Colab| image:: https://colab.research.google.com/assets/colab-badge.svg
:target: https://colab.research.google.com/github/kuprel/min-dalle/blob/main/min_dalle.ipynb
.. |Replicate| image:: https://replicate.com/kuprel/min-dalle/badge
:target: https://replicate.com/kuprel/min-dalle
.. |Join us on Discord| image:: https://img.shields.io/discord/823813159592001537?color=5865F2&logo=discord&logoColor=white
:target: https://discord.gg/xBPBXfcFHd