Sketch-Guided-Stable-Diffusion
imagen-pytorch
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Sketch-Guided-Stable-Diffusion | imagen-pytorch | |
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1 | 47 | |
55 | 7,436 | |
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10.0 | 0.0 | |
11 months ago | 7 days ago | |
Python | Python | |
MIT License | MIT License |
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Sketch-Guided-Stable-Diffusion
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Tracking mentions began in Dec 2020.
imagen-pytorch
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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.
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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
- AI Content Generation, Part 1: Machine Learning Basics
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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.
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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
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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:
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DALL·E Now Available in Beta
There's already an open-source implementation of DALL-E 2 (https://github.com/lucidrains/DALLE2-pytorch) and a pretrained model for it should be released within this year.
Also true for Google's Imagen, which should be even better than DALLE-2 (and faster) https://github.com/lucidrains/imagen-pytorch.
This is possible because the original research papers behind both DALLE-2 and Imagen were publicly released.
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would love to know what portion of this prompt is not allowed
Google's Imagen has also been implemented, and is actually simpler and seems to perform better, especially for text, but the story is similar. As with GPT-3, not many people are willing to burn hundreds of thousands to train a model only to release it to the public for free. And even if they do, good luck running it. BigScience/HuggingFace just released a GPT-3 equivalent. It requires 640GB of VRAM to run at full speed. From what I gather that would cost in the realm of $40 an hour to run on the cloud. These image models are apparently smaller but will still cost a lot.
What are some alternatives?
dalle-mini - DALL·E Mini - Generate images from a text prompt
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
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
DeepCreamPy - deeppomf's DeepCreamPy + some updates
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
hent-AI - Automation of censor bar detection
min-dalle - min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
stylegan2 - StyleGAN2 - Official TensorFlow Implementation