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text2image/BigGAN_utils/LICENSE

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-MIT License
-
-Copyright (c) 2019 Andy Brock
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.

text2image/LICENSE

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-MIT License
-
-Copyright (c) 2021 gnobitab
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.

text2image/README.md

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-# FuseDream
-
-This repo contains code for our paper ([paper link](https://arxiv.org/abs/2112.01573)):
-
-**FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization**
-
-by *Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su and Qiang Liu* from UCSD and UT Austin.
-
-![FuseDream](./imgs/header_img.png?raw=true "FuseDream")
-
-## Introduction
-FuseDream uses pre-trained GANs (we support BigGAN-256 and BigGAN-512 for now) and CLIP to achieve high-fidelity text-to-image generation.
-
-## Requirements
-Please use `pip` or `conda` to install the following packages:
-`PyTorch==1.7.1, torchvision==0.8.2, lpips==0.1.4` and also the requirements from [BigGAN](https://github.com/ajbrock/BigGAN-PyTorch).
-
-## Getting Started
-
-We transformed the pre-trained weights of BigGAN from TFHub to PyTorch. To save your time, you can download the transformed BigGAN checkpoints from:
-
-https://drive.google.com/drive/folders/1nJ3HmgYgeA9NZr-oU-enqbYeO7zBaANs?usp=sharing
-
-Put the checkpoints into `./BigGAN_utils/weights/`
-
-Run the following command to generate images from text query:
-
-`python fusedream_generator.py --text 'YOUR TEXT' --seed YOUR_SEED`
-
-For example, to get an image of a blue dog:
-
-`python fusedream_generator.py --text 'A photo of a blue dog.' --seed 1234`
-
-The generated image will be stored in `./samples`
-
-## Colab Notebook
-
-For a quick test of *FuseDream*, we provide Colab notebooks for [*FuseDream*(Single Image)](https://colab.research.google.com/drive/17qkzkoQQtzDRFaSCJQzIaNj88xjO9Rm9?usp=sharing) and *FuseDream-Composition*(TODO). Have fun!
-
-## Citations
-If you use the code, please cite:
-
-```BibTex
-@inproceedings{
-brock2018large,
-title={Large Scale {GAN} Training for High Fidelity Natural Image Synthesis},
-author={Andrew Brock and Jeff Donahue and Karen Simonyan},
-booktitle={International Conference on Learning Representations},
-year={2019},
-url={https://openreview.net/forum?id=B1xsqj09Fm},
-}
-```
-
-and
-```BibTex
-@misc{
-liu2021fusedream,
-title={FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization}, 
-author={Xingchao Liu and Chengyue Gong and Lemeng Wu and Shujian Zhang and Hao Su and Qiang Liu},
-year={2021},
-eprint={2112.01573},
-archivePrefix={arXiv},
-primaryClass={cs.CV}
-}
-```