-
Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
-
DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
I'm waiting on this implementation/training of imagen: https://github.com/lucidrains/imagen-pytorch
https://www.craiyon.com/, https://github.com/borisdayma/dalle-mini. This one seems to be somewhere around the level of the original Dall-E for some classes of objects. Some prompts will give very detailed images, others are a blurry mess.
https://www.reddit.com/r/DiscoDiffusion/, https://github.com/alembics/disco-diffusion. As far as I'm aware the only way to use this is via Google Colab. Rather difficult to use because of this.
You missed Majesty Diffusion. It's rather complicated to use because it uses latent space diffusion and CLIP guidance at the same time, so you have to get many settings right, but once you do it can give amazing results, go see them on their Discord!
Related posts
-
Google's StyleDrop can transfer style from a single image
-
One year ago I got access to closed beta DALL-E 2.
-
Besides Gaming - for what can be a 4080 useful?
-
Is creating a StableDiffusion-inspired model feasible for my Master's thesis?
-
TEDx talk on how to prepare for a career in vfx with the rapid changes caused by AI / machine learning