vqgan-clip-app
VQGAN-CLIP
vqgan-clip-app | VQGAN-CLIP | |
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3 | 67 | |
101 | 2,563 | |
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0.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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vqgan-clip-app
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How not to waste $1600?
If you want to try your hand at buggering your whole system - try playing with AI image generation as it uses all possible computer assets :D . There is a lot of forms and installations for those but I VQGANs from github the easiest. Problem is that some require familarity with shell, python and in some cases - you need to enable the Linux subsystem in Windows (is it called a subsystem? it is not exactly a VM). This one is the easiest to install out of all I tried. But I liked the results of Pixray most but I wrecked it. I use this one nowadays.
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[P] Nvidia releases web app for GauGAN2, which generates landscape images via text description, inpainting, sketch, object type segmentation map, and style image
My attempt at centralizing models to be run locally looks like this: https://github.com/tnwei/vqgan-clip-app/, currently supports VQGAN-CLIP models and CLIP guided diffusion models.
- App for running VQGAN-CLIP and CLIP guided diffusion locally
VQGAN-CLIP
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📚 Tutorials & 🎨 AI Art Generation Tool List Mega Thread
VQGAN-CLIP
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Which is your favorite text to image model overall?
I've screwed with many text-to-image models over the past couple of years, and I found that while I currently enjoy Stable Diffusion's coherency, I have a soft spot for the ImageNet model used by default for VQGAN+CLIP. It easily approaches the uncanny valley when generating people or animals, but makes for great abstract backgrounds and wallpapers. I already have nostalgia for generating images with it on my CPU overnight.
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Stable Diffusion Announcement
For someone only tangentially familiar with this space, how is this different than e.g. https://github.com/nerdyrodent/VQGAN-CLIP which you can also run at home? Is it the quality of the generated images?
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Medieval Noir - VQGAN-CLIP - COCO Checkpoint
Used https://github.com/nerdyrodent/VQGAN-CLIP
- Once have access, do you run it on your computer or over the internet on Open-AI's computers?
- How to get AI imaging effect in Premiere pro
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A Guide to Asking Robots to Design Stained Glass Windows
I don't have any of the DALL-Es but I do have a couple from github [1], [2] which gave these outputs[3]
[1] https://github.com/nerdyrodent/VQGAN-CLIP
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How not to waste $1600?
If you want to try your hand at buggering your whole system - try playing with AI image generation as it uses all possible computer assets :D . There is a lot of forms and installations for those but I VQGANs from github the easiest. Problem is that some require familarity with shell, python and in some cases - you need to enable the Linux subsystem in Windows (is it called a subsystem? it is not exactly a VM). This one is the easiest to install out of all I tried. But I liked the results of Pixray most but I wrecked it. I use this one nowadays.
- Ask HN: Is there a publicly available (not private beta) text-to-image API?
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Got a Machine Learning Algorithm to depict Aphex
For those that are interested, I used VQGAN-CLIP, specifically this GitHub repository
What are some alternatives?
VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
streamlit - Streamlit — A faster way to build and share data apps.
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
jina-app-store-example - App store search example, using Jina as backend and Streamlit as frontend [Moved to: https://github.com/jina-ai/example-app-store]
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
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.
waifu2x - Image Super-Resolution for Anime-Style Art
stable-diffusion - A latent text-to-image diffusion model
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement