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• big-sleep

  0 2,548 0.0 Python

  A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

  (Added Feb. 5, 2021) Big Sleep - Colaboratory by lucidrains. Uses BigGAN to generate images. The GitHub repo has a local machine version. GitHub. How to use the latest features in Colab.

• stylized-neural-painting

  0 1,536 0.0 Python

  Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

  (Added Mar. 9, 2021) PaintCLIP.ipynb - Colaboratory by advadnoun. Uses Stylized Neural Painter to generate images. As of time of writing, this gave me an error message.

• InfluxDB

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• collection-of-notebooks

  0 103 1.8 Jupyter Notebook

  Сollection of various notebooks

  (Added Feb. 5, 2021) Text2Image_v3 - Colaboratory by tg_bomze. Uses BigGAN (default) or Sigmoid to generate images. GitHub.

• clip_biggan

  0 15 2.6 Jupyter Notebook

  (Added Feb. 5, 2021) ClipBigGAN.ipynb - Colaboratory by eyaler. Uses BigGAN to generate images/videos. GitHub. Notebook copy by levindabhi.

• Story2Hallucination

  0 146 0.0 Jupyter Notebook

  

  (Added Feb. 5, 2021) Story2Hallucination.ipynb - Colaboratory by bonkerfield. Uses BigGAN to generate images/videos. GitHub.

• clip-glass

  0 177 0.0 Python

  Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"

  (Added Feb. 5, 2021) CLIP-GLaSS.ipynb - Colaboratory by Galatolo. Uses BigGAN (default) or StyleGAN to generate images. The GPT2 config is for image-to-text, not text-to-image. GitHub.

• notebooks

  0 41 5.2 Jupyter Notebook

  Google Colab notebooks (by nagolinc)

  (Added Feb. 5, 2021) CLIP + TADNE (pytorch) v2 - Colaboratory_v2.ipynb) by nagolinc. Uses TADNE ("This Anime Does Not Exist") to generate images. Instructions and examples. GitHub. Notebook copy_v2.ipynb) by levindabhi

• WorkOS

  workos.com

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• deep-daze

  0 4,379 0.0 Python

  Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

  (Added Feb. 5, 2021) Deep Daze - Colaboratory by lucidrains. Uses SIREN to generate images. The GitHub repo has a local machine version. GitHub. Notebook copy by levindabhi.

• StyleCLIP

  1 3,877 0.0 HTML

  Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

  (Added Feb. 15, 2021) StyleCLIP - Colaboratory by orpatashnik. Uses StyleGAN to generate images. GitHub. Twitter reference. Reddit post.

• StyleCLIP

  0 124 0.0 Python

  Using CLIP and StyleGAN to generate faces from prompts. (by vipermu)

  (Added Feb. 15, 2021) StyleCLIP by vipermu. Uses StyleGAN to generate images.

• TediGAN

  0 361 0.0 Python

  [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

  

  (Added Feb. 23, 2021) TediGAN - Colaboratory by weihaox. Uses StyleGAN to generate images. GitHub. I got error "No pre-trained weights found for perceptual model!" when I used the Colab notebook, which was fixed when I made the change mentioned here. After this change, I still got an error in the cell that displays the images, but the results were in the remote file system. Use the "Files" icon on the left to browse the remote file system.

• Colab-BigGANxCLIP

  0 2 10.0 Jupyter Notebook

  (Added Feb. 24, 2021) Colab-BigGANxCLIP.ipynb - Colaboratory by styler00dollar. Uses BigGAN to generate images. "Just a more compressed/smaller version of that [advadnoun's] notebook". GitHub.

• clipping-CLIP-to-GAN

  0 40 10.0 Python

  (Added Feb. 24, 2021) clipping-CLIP-to-GAN by cloneofsimo. Uses FastGAN to generate images.

• Colab-deep-daze

  0 1 5.8 Python

  Discontinued Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

  (Added Feb. 24, 2021) Colab-deep-daze - Colaboratory by styler00dollar. Uses SIREN to generate images. I did not get this notebook to work, but your results may vary. GitHub.

• DALLECLIP

  0 2 0.0 Python

  (Added Feb. 28, 2021) DALLECLIP by vipermu. Uses DALL-E's discrete VAE (variational autoencoder) component to generate images. Twitter reference.

• aphantasia

  0 768 3.9 Python

  CLIP + FFT/DWT/RGB = text to image/video

  (Added Mar. 1, 2021) Aphantasia.ipynb - Colaboratory by eps696. Uses FFT (Fast Fourier Transform) from Lucent/Lucid to generate images. GitHub. Twitter reference. Example #1. Example #2.

• stylegan2-clip-approach

  0 55 1.8 Python

  Navigating StyleGAN2 w latent space using CLIP

  (Added Mar. 7, 2021) StyleGAN2-CLIP-approach.ipynb - Colaboratory by l4rz. Uses StyleGAN to generate images. GitHub. Twitter reference.

• CLIP-Style-Transfer

  0 13 0.0 Jupyter Notebook

  Doing style transfer with linguistic features using OpenAI's CLIP.

  (Added Mar. 8, 2021) CLIP Style Transfer Test.ipynb - Colaboratory by Zasder3. Uses VGG19's conv4_1 to generate images. GitHub. Twitter reference.

• VectorAscent

  0 113 0.0 Python

  Generate vector graphics from a textual caption

  (Added Mar. 9, 2021) VectorAscent by ajayjain. Uses diffvg to generate images.

• AuViMi

  0 9 0.0 Python

  AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken.

  (Added Mar. 16, 2021) AuViMi by NotNANtoN. Uses BigGAN or SIREN to generate images.

• random-colabs

  0 14 10.0 Jupyter Notebook

  (Added Mar. 23, 2021) ClipMeshOptimize.ipynb - Colaboratory by EvgenyKashin. Uses PyTorch3D to generate images. GitHub.

• SaaSHub

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