94 lines
3.4 KiB
Markdown
Vendored
94 lines
3.4 KiB
Markdown
Vendored
# min(DALL·E)
|
|
|
|
[](https://colab.research.google.com/github/kuprel/min-dalle/blob/main/min_dalle.ipynb)
|
|
|
|
[](https://replicate.com/kuprel/min-dalle)
|
|
|
|
[](https://discord.gg/xBPBXfcFHd)
|
|
|
|
This is a fast, 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"/>
|