clip-glass VS Story2Hallucination

Compare clip-glass vs Story2Hallucination and see what are their differences.

clip-glass

Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search" (by galatolofederico)
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clip-glass Story2Hallucination
13 13
177 146
- -0.7%
0.0 0.0
over 2 years ago about 3 years ago
Python Jupyter Notebook
GNU General Public License v3.0 only GNU General Public License v3.0 only
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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clip-glass

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

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 clip-glass and Story2Hallucination you can also consider the following projects:

a-PyTorch-Tutorial-to-Image-Captioning - Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

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

meshed-memory-transformer - Meshed-Memory Transformer for Image Captioning. CVPR 2020

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

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

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

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

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

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

StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.