min-dalle-test/README.md
2022-07-03 11:53:45 -04:00

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# min(DALL·E)
[![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)
 
[![Replicate](https://replicate.com/kuprel/min-dalle/badge)](https://replicate.com/kuprel/min-dalle)
 
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This is a minimal implementation of Boris Dayma's [DALL·E Mini](https://github.com/borisdayma/dalle-mini) in PyTorch. It has been stripped to the bare essentials necessary for doing inference. The only third party dependencies are numpy, requests, pillow and torch.
To generate a 3x3 grid of DALL·E Mega images it takes
- **35 seconds** with a P100 in Colab
- **15 seconds** 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
```bash
$ pip install min-dalle
```
## Usage
### Python
Load the model parameters once and reuse the model to generate multiple images.
```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.
```python
text = 'a comfy chair that looks like an avocado'
image = model.generate_image(text)
display(image)
```
<img src="https://github.com/kuprel/min-dalle/raw/main/examples/avocado_armchair.png" alt="drawing" width="200"/>
```python
text = 'court sketch of godzilla on trial'
image = model.generate_image(text, seed=6, grid_size=3)
display(image)
```
<img src="https://github.com/kuprel/min-dalle/raw/main/examples/godzilla_trial.png" alt="drawing" width="300"/>
```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)
```
<img src="https://github.com/kuprel/min-dalle/raw/main/examples/ironman.png" alt="drawing" width="300"/>
```python
text = 'a funeral at Whole Foods'
image = model.generate_image(text, seed=10, grid_size=3)
display(image)
```
<img src="https://github.com/kuprel/min-dalle/raw/main/examples/funeral.png" alt="drawing" width="300"/>
```python
text = 'Jesus turning water into wine on Americas Got Talent'
image = model.generate_image(text, seed=2, grid_size=3)
display(image)
```
<img src="https://github.com/kuprel/min-dalle/raw/main/examples/jesus.png" alt="drawing" width="300"/>
```python
text = 'cctv footage of Yoda robbing a liquor store'
image = model.generate_image(text, seed=0, grid_size=3)
display(image)
```
<img src="https://github.com/kuprel/min-dalle/raw/main/examples/yoda.png" alt="drawing" width="300"/>
### Command Line
Use `image_from_text.py` to generate images from the command line.
```bash
$ python image_from_text.py --text='artificial intelligence' --seed=7
```
<img src="https://github.com/kuprel/min-dalle/raw/main/examples/artificial_intelligence.png" alt="drawing" width="200"/>
```bash
$ python image_from_text.py --text='trail cam footage of gollum eating watermelon' --mega --seed=1 --grid-size=3
```
<img src="https://github.com/kuprel/min-dalle/raw/main/examples/gollum_trailcam.png" alt="drawing" width="300"/>