Exciting news! Our iOS app received a major update. For just $0.99/month, you can now filter and sort AI research papers by monthly popularity and published date.
Download and let us know what you think
📱⬇️ https://t.co/dwjNMhwvCH
#AIresearch#iOSapp#researchpapers
We regret to inform that we are discontinuing PromptArt iOS and web apps. We couldn't generate enough revenue from subscriptions to cover the server costs.😢
We will stop generating capability on Saturday and keep the apps live till 28th, Feb for you to download your creations.
Generate avatars of yourself with Prompt Art app by uploading 10+ photos. Apart from 50+ samples, you can generate as many avatars with your own prompts.
It will be available free for subscribed users ($0.99/mo) while we are beta testing.
📱 https://t.co/TsYl6173mF
7/7) Explanation of the prompt:
"Street Photography" gives a good angle and adds people and vehicles to the art
"Art by Craig Mullins" make it darker and more art like (in contrast to a 3D rendering)
"Mystery Novel Cover" makes it more dramatic and sometimes add more details
1/7) Stunning art of streets from around the world
Generated with https://t.co/TsYl6173mF
#StableDifusion#AIArtwork#workflow
Here are some awesome arts generated:
🧶👇
We found two bugs in our (beta) avatar generator.
1. Nothing happens when you tap “Submit to training” if the number of uploaded images is less than 20.
2. The popup to confirm doesn’t show when you tap “Upload Photos” on iPads.
We will fix this and release an update shortly.
Using my wife's photos to finetune an SD 768x768 2.1v model and experimented with iconic movie characters #stablediffusion#gpt3 https://t.co/KJm558kIBZ
Our team member @hnipun1 finetuned an SD 768x768 2.1v model using his wife's photos and experimented with iconic movie characters.
750 training steps, 0.000003 learning rate, and around 20 images used
#stablediffusion#stablediffusionart
👇🧵
2/2 The generated image is lacking some details, but looks almost like him in real life (except for the crown and dress).
Will post updates when we can generate higher quality images.
Experimenting with image to image editing with user images
Original image on left taken from our feed: https://t.co/bpj1NIPbdp
The photo on right is the new generation with our team member @nmasnadithya
We used #stablediffusion 2.1v model and dreambooth training
👇
10/n
Autoencoder: maps images to and from the latent space, reducing resolution by a factor of 8 and the latent space has 4 channels instead of the 3-channel (RGB) image space.