StyleGAN3-CLIP-notebooks
A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation. (by ouhenio)
NeuralTextToImage
Colabs for text prompt steered image generators (by olaviinha)
| StyleGAN3-CLIP-notebooks | NeuralTextToImage | |
|---|---|---|
| 2 | 2 | |
| 200 | 12 | |
| - | - | |
| 0.0 | 2.3 | |
| about 2 years ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
StyleGAN3-CLIP-notebooks
Posts with mentions or reviews of StyleGAN3-CLIP-notebooks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-15.
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we have the technology - sbahj_the_movie.jpg
Actors were generated with StyleGAN3+CLIP, text was written by latent-diffusion, names were generated using this site.
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[P] StyleGAN3 + CLIP
Since it's a work in progress, I'll also share this repo where I've been updating the notebook.
NeuralTextToImage
Posts with mentions or reviews of NeuralTextToImage.
We have used some of these posts to build our list of alternatives
and similar projects.
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Giveaway of a few of my digital paintings (OC, AI-aided, 1:1)
I don't have the code I use for these in particular public, but the material generation process is based on VQGAN+CLIP: https://github.com/olaviinha/NeuralTextToImage
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"AP3 LIFE" – AI-generated art (no human editing)
I'm not the artist, but yes. Check out /r/bigsleep to get the idea what kind of images are produced by different text prompts. Or just try it yourself.
What are some alternatives?
When comparing StyleGAN3-CLIP-notebooks and NeuralTextToImage you can also consider the following projects:
stylegan3 - Official PyTorch implementation of StyleGAN3
ru-dalle - Generate images from texts. In Russian
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
blender-colab - Render Blender 4.x scenes with Google Colaboratory
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
dl-colab-notebooks - Try out deep learning models online on Google Colab
NovelAI-Colab - One-click run on Colab for all major models (NovelAI, Stable Diffusion V1.5) [Moved to: https://github.com/acheong08/Diffusion-ColabUI]
gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model
StyleGAN3-CLIP-notebooks vs stylegan3
NeuralTextToImage vs ru-dalle
StyleGAN3-CLIP-notebooks vs CLIP
NeuralTextToImage vs blender-colab
StyleGAN3-CLIP-notebooks vs latent-diffusion
NeuralTextToImage vs dl-colab-notebooks
StyleGAN3-CLIP-notebooks vs NovelAI-Colab
NeuralTextToImage vs gpt-3-simple-tutorial