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refactored to load models once and run multiple times

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Brett Kuprel
2022-06-29 09:42:12 -04:00
parent 1ef9b0b929
commit ed91ab4a30
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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)
This is a minimal implementation of [DALL·E Mini](https://github.com/borisdayma/dalle-mini). It has been stripped to the bare essentials necessary for doing inference, and converted to PyTorch. The only third party dependencies are `numpy` and `torch` for the torch model and `flax` for the flax model.
This is a minimal implementation of [DALL·E Mini](https://github.com/borisdayma/dalle-mini). It has been stripped to the bare essentials necessary for doing inference, and converted to PyTorch. The only third party dependencies are `numpy`, `torch`, and `flax`.
### Setup
Run `sh setup.sh` to install dependencies and download pretrained models. The models can also be downloaded manually:
Run `sh setup.sh` to install dependencies and download pretrained models. The `wandb` python package is installed to download DALL·E mini and DALL·E mega. Alternatively, the models can be downloaded manually here:
[VQGan](https://huggingface.co/dalle-mini/vqgan_imagenet_f16_16384),
[DALL·E Mini](https://wandb.ai/dalle-mini/dalle-mini/artifacts/DalleBart_model/mini-1/v0/files),
[DALL·E Mega](https://wandb.ai/dalle-mini/dalle-mini/artifacts/DalleBart_model/mega-1-fp16/v14/files)
### Usage
Use the command line python script `image_from_text.py` to generate images. Here are some examples:
The simplest way to get started is the command line python script `image_from_text.py` provided. Here are some examples runs:
```
python image_from_text.py --text='alien life' --seed=7
@@ -32,3 +32,7 @@ python image_from_text.py --text='court sketch of godzilla on trial' --mega --se
```
![Godzilla Trial](examples/godzilla_trial.png)
### Load once run multiple times
The command line script loads the models and parameters each time. The colab notebook demonstrates how to load the models once and run multiple times.