93 lines
3.4 KiB
Markdown
Vendored
93 lines
3.4 KiB
Markdown
Vendored
# min(DALL·E)
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[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/kuprel/min-dalle/blob/main/min_dalle.ipynb)
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[![Replicate](https://replicate.com/kuprel/min-dalle/badge)](https://replicate.com/kuprel/min-dalle)
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[![Join us on Discord](https://img.shields.io/discord/823813159592001537?color=5865F2&logo=discord&logoColor=white)](https://discord.gg/xBPBXfcFHd)
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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.
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To generate a 4x4 grid of DALL·E Mega images it takes
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- 89 sec with a T4 in Colab
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- 48 sec with a P100 in Colab
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- 16 sec with an A100 on Replicate
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- TBD with an H100 (@NVIDIA?)
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The flax model and code for converting it to torch can be found [here](https://github.com/kuprel/min-dalle-flax).
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## Install
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```bash
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$ pip install min-dalle
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```
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## Usage
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Load the model parameters once and reuse the model to generate multiple images.
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```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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```
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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.
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```python
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text = 'Dali painting of WALL·E'
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image = model.generate_image(text, seed=0, grid_size=4)
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display(image)
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```
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<img src="https://github.com/kuprel/min-dalle/raw/main/examples/dali_walle.jpg" alt="min-dalle" width="300"/>
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```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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```
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<img src="https://github.com/kuprel/min-dalle/raw/main/examples/ironman.jpg" alt="min-dalle" width="300"/>
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```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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```
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<img src="https://github.com/kuprel/min-dalle/raw/main/examples/godzilla_trial.jpg" alt="min-dalle" width="300"/>
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```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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```
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<img src="https://github.com/kuprel/min-dalle/raw/main/examples/funeral.jpg" alt="min-dalle" width="300"/>
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```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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```
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<img src="https://github.com/kuprel/min-dalle/raw/main/examples/jesus.jpg" alt="min-dalle" width="300"/>
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```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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```
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<img src="https://github.com/kuprel/min-dalle/raw/main/examples/yoda.jpg" alt="min-dalle" width="300"/>
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### Command Line
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Use `image_from_text.py` to generate images from the command line.
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```bash
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$ python image_from_text.py --text='artificial intelligence' --no-mega --seed=7
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```
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<img src="https://github.com/kuprel/min-dalle/raw/main/examples/artificial_intelligence.jpg" alt="min-dalle" width="200"/>
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```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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```
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<img src="https://github.com/kuprel/min-dalle/raw/main/examples/gollum_trailcam.jpg" alt="min-dalle" width="300"/>
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