deep-daze VS clip-glass

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

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 (by lucidrains)

clip-glass

Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search" (by galatolofederico)
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deep-daze clip-glass
49 13
4,379 177
- -
0.0 0.0
about 2 years ago over 2 years ago
Python Python
MIT License 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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deep-daze

Posts with mentions or reviews of deep-daze. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-15.

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.
  • test
    21 projects | /r/u_Wiskkey | 3 Apr 2022
    (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.
  • Image to text models
    2 projects | /r/MediaSynthesis | 16 Jan 2022
    After a cursory search I found CLIP-GLaSS and CLIP-cap. I've used CLIP-GLaSS in a previous experiment, but found the captions for digital/CG images quite underwhelming. This is understandable since this is not what the model was trained on, but still I'd like to use a better model.
  • [R] end-to-end image captioning
    3 projects | /r/MachineLearning | 25 Feb 2021
    CLIP-GLaSS

What are some alternatives?

When comparing deep-daze and clip-glass you can also consider the following projects:

VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

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

Story2Hallucination

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

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

starcli - :sparkles: Browse trending GitHub projects from your command line

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

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

nettu-scheduler - A self-hosted calendar and scheduler server.

feed_forward_vqgan_clip - Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

theme.sh - A script which lets you set your $terminal theme.

pyp - Easily run Python at the shell! Magical, but never mysterious.