updated readme
This commit is contained in:
parent
a014dccc05
commit
8363495f0a
|
@ -1,10 +1,16 @@
|
||||||
# min(DALL·E)
|
# 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(DALL·E).ipynb)
|
||||||
|
|
||||||
This is a minimal implementation of [DALL·E Mini](https://github.com/borisdayma/dalle-mini) in both Flax and PyTorch
|
This is a minimal implementation of [DALL·E Mini](https://github.com/borisdayma/dalle-mini) in both Flax and PyTorch
|
||||||
|
|
||||||
### Setup
|
### Setup
|
||||||
|
|
||||||
Run `sh setup.sh` to install dependencies and download pretrained models. The only required dependencies are `flax` and `torch`. In the bash script, GitHub LFS is used to download the VQGan detokenizer and the Weight & Biases python package is used to download the DALL·E Mini and DALL·E Mega transformer models. Those files can also be downloaded manually by visting the links in the bash script.
|
Run `sh setup.sh` to install dependencies and download pretrained models. The only required dependencies are `flax` and `torch`. In the bash script, GitHub LFS is used to download the VQGan detokenizer and the Weight & Biases python package is used to download the DALL·E Mini and DALL·E Mega transformer models. These models can also be downloaded manually:
|
||||||
|
|
||||||
|
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
|
||||||
|
|
||||||
### Run
|
### Run
|
||||||
|
|
||||||
|
|
Loading…
Reference in New Issue
Block a user