storyteller VS Text-to-Image-Synthesis

Compare storyteller vs Text-to-Image-Synthesis and see what are their differences.

storyteller

Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech (by jaketae)
Gpt image-generation Pytorch stable-diffusion text-to-image text-to-speech text-to-video video-generation ddpm diffusion-models natural-language-generation
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Text-to-Image-Synthesis

Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper (by aelnouby)
Gans Pytorch text-to-image zero-shot-learning image-generation
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storyteller Text-to-Image-Synthesis
1 1
475 389
- -
5.9 0.0
9 months ago almost 4 years ago
Python Python
MIT License GNU General Public License v3.0 only
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storyteller

Posts with mentions or reviews of storyteller. We have used some of these posts to build our list of alternatives and similar projects.

Text-to-Image-Synthesis

Posts with mentions or reviews of Text-to-Image-Synthesis. We have used some of these posts to build our list of alternatives and similar projects.
  • Text to Image generation using path file
    1 project | /r/pytorch | 31 May 2021
    I trained a text to image generation model based on https://github.com/aelnouby/Text-to-Image-Synthesis. Now I have 2 path files (one for generator , another for discriminator) . How to generate images using this path files?

What are some alternatives?

When comparing storyteller and Text-to-Image-Synthesis you can also consider the following projects:

ez-text2video - Easily run text-to-video diffusion with customized video length, fps, and dimensions on 4GB video cards or on CPU.

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

CogView - Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

BigGAN-PyTorch - The author's officially unofficial PyTorch BigGAN implementation.

Sketch-Guided-Stable-Diffusion - Unofficial Implementation of the Google Paper - https://sketch-guided-diffusion.github.io/

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

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

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Gen-L-Video - The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

stable-diffusion-docker - Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.

zsl-kg - Framework for zero-shot learning with knowledge graphs.

storyteller vs ez-text2video Text-to-Image-Synthesis vs VQGAN-CLIP storyteller vs CogView Text-to-Image-Synthesis vs BigGAN-PyTorch storyteller vs Sketch-Guided-Stable-Diffusion Text-to-Image-Synthesis vs feed_forward_vqgan_clip storyteller vs aphantasia Text-to-Image-Synthesis vs anycost-gan storyteller vs Gen-L-Video Text-to-Image-Synthesis vs pytorch-CycleGAN-and-pix2pix storyteller vs stable-diffusion-docker Text-to-Image-Synthesis vs zsl-kg