clipping-CLIP-to-GAN VS Story2Hallucination

Compare clipping-CLIP-to-GAN vs Story2Hallucination and see what are their differences.

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clipping-CLIP-to-GAN Story2Hallucination
1 13
40 146
- -0.7%
10.0 0.0
over 3 years ago about 3 years ago
Python Jupyter Notebook
MIT License GNU General Public License v3.0 only
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clipping-CLIP-to-GAN

Posts with mentions or reviews of clipping-CLIP-to-GAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.
  • test
    21 projects | /r/u_Wiskkey | 3 Apr 2022
    (Added Feb. 24, 2021) clipping-CLIP-to-GAN by cloneofsimo. Uses FastGAN to generate images.

Story2Hallucination

Posts with mentions or reviews of Story2Hallucination. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

What are some alternatives?

When comparing clipping-CLIP-to-GAN and Story2Hallucination you can also consider the following projects:

DALLECLIP

deep-daze - 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

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

big-sleep - 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

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

deep-music-visualizer - The Deep Visualizer uses BigGAN (Brock et al., 2018) to visualize music.

VectorAscent - Generate vector graphics from a textual caption

DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP

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

AuViMi - 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.

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