majesty-diffusion
imagen-pytorch
majesty-diffusion | imagen-pytorch | |
---|---|---|
8 | 47 | |
274 | 7,787 | |
0.0% | - | |
0.0 | 6.8 | |
almost 2 years ago | 28 days ago | |
Jupyter Notebook | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
majesty-diffusion
- disco diffusion makes realistic portraits, Latent Majesty makes portraits + bewbs
-
Protests erupt outside of DALL-E offices after pricing implementation, press photograph
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!
-
DALL·E Now Available in Beta
Here are a couple I've used recently:
Majestic diffusion - https://github.com/multimodalart/majesty-diffusion
Centipede diffusion - https://colab.research.google.com/github/Zalring/Centipede_D...
-
Judy Hopps as a real person (Latent Majesty Difusion)
I suck with computers so i hope these links mean something to you, looks like devil witch magic to me. link1 link2 link3
-
The inner works of AGI
There's also another model going around called Latent Majesty Diffusion that does the same thing.
-
Lenin as a bust on Mars (Dall-E-Mini + Majesty Diffusion + Centipede Diffusion)
I found the github: https://github.com/multimodalart/majesty-diffusion
-
New text-to-image network from Google beats DALL-E
Check https://github.com/multimodalart/majesty-diffusion
There is a Google Colab workbook that you can try and run for free :)
This is the image-text pairs behind: https://laion.ai/laion-400-open-dataset/
-
Colab notebooks "Latent Majesty Diffusion" (CLIP-guided latent diffusion; formerly known as Latent Princess Generator) and "V-Majesty Diffusion" (CLIP-guided V-objective diffusion; formerly known as Princess Generator Victoria)
GitHub repo.
imagen-pytorch
-
Google's StyleDrop can transfer style from a single image
If google doesnt, someone like lucidrains probably would implement it, just like he did for imagen and muse.
- Create a Stable diffusion neural network from scratch.
-
Google just announced an Even better diffusion process.
lucidrains/imagen-pytorch: Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch (github.com)
- Karlo, the first large scale open source DALL-E 2 replication is here
-
training imagen
Hi Can someone guide me a little, as to how i can use LAION dataset to train my imagen model? like how i can download the data, and in which format it should be fed to https://github.com/lucidrains/imagen-pytorch code?
-
If everyone in this sub make a donation of $10 then we can train truly open stable diffusion.
If we were to put money into training something, I'd hope we use a better model, like Imagen.
- AI Content Generation, Part 1: Machine Learning Basics
-
DALL-E 2 is switching to a credits system (50 generations for free at first, 15 free per month)
I've been messing around with this open-source implementation. You can get a pretty good idea of the model size by just copying the parameters from the paper.
-
Protests erupt outside of DALL-E offices after pricing implementation, press photograph
I'm waiting on this implementation/training of imagen: https://github.com/lucidrains/imagen-pytorch
-
Show HN: Food Does Not Exist
I'm honestly surprised that they trained a StyleGAN. Recently, the Imagen architecture has been show to be both easier in structure, easier to train, and even faster to produce good results. Combined with the "Elucidating" paper by NVIDIA's Tero Karras you can train a 256px Imagen to tolerable quality within an hour on a RTX 3090.
Here's a PyTorch implementation by the LAION people:
https://github.com/lucidrains/imagen-pytorch
And here's 2 images I sampled after training it for some hours, like 2 hours base model + 4 hours upscaler:
https://imgur.com/a/46EZsJo
What are some alternatives?
dalle-mini - DALL·E Mini - Generate images from a text prompt
text-to-text-transfer-transformer - Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
hent-AI - Automation of censor bar detection
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
DeepCreamPy - deeppomf's DeepCreamPy + some updates
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"