Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)
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Updated
Oct 25, 2017 - Python
Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)
Reproduction of the paper MirrorGAN: Learning Text-to-image Generation by Redescription
A GUI for getting prediction from https://github.com/taoxugit/AttnGAN with single caption input.
PyTorch implementations of text2image synthesis models (gan-int-cls, StackGAN, StackGAN++) and our proposed model TeleGAN.
Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized
An offline python frontend for the QuadVisions Colab Notebook using tkinter.
🐦 A PyTorch Implementation of DF-GAN
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
Text-to-Image and Image-to-Text model retrieval
Code in this repo will assist you in creating image file/s of any text you provide
Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
A colab friendly toolkit to generate 3D mesh model / video / nerf instance / multiview images of colourful 3D objects by text and image prompts input, based on dreamfields.
Stable Diffusion in PyTorch without any huggingface token!
Local image generation using VQGAN-CLIP or CLIP guided diffusion
Yet Another Stable Diffusion Discord Bot
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