NeuralTextToImage
StyleGAN3-CLIP-notebooks
| NeuralTextToImage | StyleGAN3-CLIP-notebooks | |
|---|---|---|
| 2 | 2 | |
| 12 | 200 | |
| - | - | |
| 2.3 | 0.0 | |
| 8 months ago | about 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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NeuralTextToImage
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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.
StyleGAN3-CLIP-notebooks
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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.
What are some alternatives?
ru-dalle - Generate images from texts. In Russian
stylegan3 - Official PyTorch implementation of StyleGAN3
blender-colab - Render Blender 4.x scenes with Google Colaboratory
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
dl-colab-notebooks - Try out deep learning models online on Google Colab
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model
NovelAI-Colab - One-click run on Colab for all major models (NovelAI, Stable Diffusion V1.5) [Moved to: https://github.com/acheong08/Diffusion-ColabUI]
glide-text2im-colab - Colab notebook for openai/glide-text2im.
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Diffusion-ColabUI - Choose your diffusion models and spin up a WebUI on Colab in one click