2022-07-03 20:49:38 +00:00
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min(DALL·E)
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===========
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|Open In Colab| |Replicate| |Join us on Discord|
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This is a fast, minimal implementation of Boris Dayma’s `DALL·E
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2022-07-04 11:28:44 +00:00
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Mega <https://github.com/borisdayma/dalle-mini>`__. It has been stripped
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2022-07-03 20:49:38 +00:00
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down for inference and converted to PyTorch. The only third party
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dependencies are numpy, requests, pillow and torch.
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2022-07-04 11:28:44 +00:00
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It takes - **35 seconds** to generate a 3x3 grid with a P100 in Colab -
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**16 seconds** to generate a 4x4 grid with an A100 on Replicate -
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**TBD** to generate a 4x4 grid with an H100 (@NVIDIA?)
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2022-07-03 20:49:38 +00:00
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The flax model and code for converting it to torch can be found
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`here <https://github.com/kuprel/min-dalle-flax>`__.
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Install
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-------
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.. code:: bash
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$ pip install min-dalle
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Usage
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-----
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Load the model parameters once and reuse the model to generate multiple
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images.
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.. code:: python
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from min_dalle import MinDalle
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model = MinDalle(is_mega=True, models_root='./pretrained')
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The required models will be downloaded to ``models_root`` if they are
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not already there. Once everything has finished initializing, call
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``generate_image`` with some text and a seed as many times as you want.
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.. code:: python
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2022-07-04 11:28:44 +00:00
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text = 'Dali painting of WALL·E'
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2022-07-03 20:49:38 +00:00
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image = model.generate_image(text, seed=0, grid_size=4)
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display(image)
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.. code:: python
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text = 'Rusty Iron Man suit found abandoned in the woods being reclaimed by nature'
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image = model.generate_image(text, seed=0, grid_size=3)
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display(image)
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.. code:: python
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text = 'court sketch of godzilla on trial'
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image = model.generate_image(text, seed=6, grid_size=3)
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display(image)
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.. code:: python
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text = 'a funeral at Whole Foods'
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image = model.generate_image(text, seed=10, grid_size=3)
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display(image)
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.. code:: python
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text = 'Jesus turning water into wine on Americas Got Talent'
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image = model.generate_image(text, seed=2, grid_size=3)
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display(image)
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.. code:: python
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text = 'cctv footage of Yoda robbing a liquor store'
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image = model.generate_image(text, seed=0, grid_size=3)
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display(image)
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Command Line
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~~~~~~~~~~~~
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Use ``image_from_text.py`` to generate images from the command line.
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.. code:: bash
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2022-07-04 11:28:44 +00:00
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$ python image_from_text.py --text='artificial intelligence' --no-mega --seed=7
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2022-07-03 20:49:38 +00:00
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.. code:: bash
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$ python image_from_text.py --text='trail cam footage of gollum eating watermelon' --mega --seed=1 --grid-size=3
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.. |Open In Colab| image:: https://colab.research.google.com/assets/colab-badge.svg
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:target: https://colab.research.google.com/github/kuprel/min-dalle/blob/main/min_dalle.ipynb
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.. |Replicate| image:: https://replicate.com/kuprel/min-dalle/badge
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:target: https://replicate.com/kuprel/min-dalle
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.. |Join us on Discord| image:: https://img.shields.io/discord/823813159592001537?color=5865F2&logo=discord&logoColor=white
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:target: https://discord.gg/xBPBXfcFHd
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