Text-to-Image-Synthesis
Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper (by aelnouby)
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation. (by ajbrock)
| Text-to-Image-Synthesis | BigGAN-PyTorch | |
|---|---|---|
| 1 | 4 | |
| 389 | 2,804 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 4 years ago | 10 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Text-to-Image-Synthesis
Posts with mentions or reviews of Text-to-Image-Synthesis.
We have used some of these posts to build our list of alternatives
and similar projects.
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Text to Image generation using path file
I trained a text to image generation model based on https://github.com/aelnouby/Text-to-Image-Synthesis. Now I have 2 path files (one for generator , another for discriminator) . How to generate images using this path files?
BigGAN-PyTorch
Posts with mentions or reviews of BigGAN-PyTorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-18.
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[D] Pre-trained weights for GANs online?
The second link gives you the entire source code for training the model https://github.com/ajbrock/BigGAN-PyTorch/tree/master . Looks like BigGAN.py and BigGANdeep.py are the two files that define the architecture. Can you work with that?
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I'm looking for an AI Art generator from images
BigGAN (https://github.com/ajbrock/BigGAN-PyTorch) - This is a PyTorch implementation of the BigGAN model for generating high-resolution images. It is trained on a large dataset and can generate a wide range of images, including photographs of animals, objects, and landscapes.
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[D] Using activity regularization instead of batch norm.
Tangentially, theoretically you can't use BN in the discriminator for WGAN-GP anyway (assuming that you're using the Gulrajani work) because it breaks the sample independence assumptions of the GP. If you have a relatively structured dataset (eg all faces, all cars, all giraffes, etc.) and no class conditioning, look into StyleGAN2-ADA for the best results. If you have a dataset with a lot of variation and a lot of classes try using the BigGAN repo.
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Έφτιαξα ένα AI που παράγει εικόνες από μερικές λέξεις. Να τι έφτιαξε όταν του είπα να σκεφτεί ένα "Αφηρημένο Πορτρέτο"
BigGan και Deep Dream https://github.com/ajbrock/BigGAN-PyTorch https://github.com/google/deepdream
What are some alternatives?
When comparing Text-to-Image-Synthesis and BigGAN-PyTorch you can also consider the following projects:
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
stylegan2-ada-pytorch - StyleGAN2-ADA - Official PyTorch implementation