denoising-diffusion-pytorch
stylegan2-pytorch
Our great sponsors
denoising-diffusion-pytorch | stylegan2-pytorch | |
---|---|---|
11 | 1,989 | |
6,994 | 3,613 | |
- | - | |
8.6 | 0.0 | |
14 days ago | over 1 year ago | |
Python | Python | |
MIT License | 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.
denoising-diffusion-pytorch
- Commits · lucidrains/denoising-diffusion-pytorch
-
Help using torchaudio and spectrograms for diffusion
I’m trying to train a diffusion model using this code (https://github.com/lucidrains/denoising-diffusion-pytorch). My idea is to take a short audio segment, transform it into a spectrogram and train the model on these images then have it generate spectrograms then go back to audio. However the model requires square images. I cannot for the life of me figure out how to make a square spectrogram. Also is a regular spectrogram or a mel spectrogram better for this application?
-
Implementation of Google's MusicLM in PyTorch
Generally it's without weights, but MusicLM is also a WIP more mature implementations have descriptions on how to train them and follow ups on small scale/crowd-sourced experiments & research[1].
[1]: https://github.com/lucidrains/denoising-diffusion-pytorch
-
[D] Time Embedding in Diffusion Model
[1] https://colab.research.google.com/drive/1sjy9odlSSy0RBVgMTgP7s99NXsqglsUL?usp=sharing#scrollTo=KOYPSxPf_LL7 [2] https://github.com/lucidrains/denoising-diffusion-pytorch/blob/main/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
-
[D] Can a Diffusion Model be trained with an NVIDIA TITAN X?
Sure. I am using: https://github.com/lucidrains/denoising-diffusion-pytorch
-
[D] Resources to learn and fully understand Diffusion Model Codes
Lucidrains GitHub is always my go to repo for understandable paper implementations https://github.com/lucidrains/denoising-diffusion-pytorch
-
Diffusion model generated exactly the same image as the training image
Thanks for the reply. Is there any suggestion if I wanted to train a model to generate half cat and half butterfly images what I should do? I git cloned the code from https://github.com/lucidrains/denoising-diffusion-pytorch and trained from scratch.
-
[D] Best diffusion model archetype to train?
DDIM/DDPM are the same model to train, they only differ at inference time. To start I would recommend building from lucidrains' MIT licenced version (https://github.com/lucidrains/denoising-diffusion-pytorch). Just play around with the models until you gain an intuition.
-
We just release a complete open-source solution for accelerating Stable Diffusion pretraining and fine-tuning!
Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!
-
[D] Introduction to Diffusion Models
Once you understand these papers you can begin to understand Palette, and from there I would start with an open-source diffusion implementation like this one and then modify it to suit your needs!
stylegan2-pytorch
- Wikipedia No Longer Considers CNET "Generally Reliable" Source After AI Scandal
-
Discord Clone Using Next.js and Tailwind - Part 3: Channel List
export default function ChannelListBottomBar(): JSX.Element { const { client } = useChatContext(); const [micActive, setMicActive] = useState(false); const [audioActive, setAudioActive] = useState(false); return (
{client.user?.image && (div> )}setMicActive((currentValue) => !currentValue)} > button> setAudioActive((currentValue) => !currentValue)} > button> button> div> ); }{client.user?.name} span> {client.user?.online ? 'Online' : 'Offline'} span> p> button>
-
Realism Engine SDXL v2.0 just released
I wonder if we will ever get a realism model which can produce normal faces like https://thispersondoesnotexist.com instead of like super symmetrical faces of models
-
Spongebob!!!
this has been in circulation since a while AI images took off, and they certainly weren't convincing before they did. You know the old "try to name one thing in this image" macro? Pretty sure that was AI generated, there was also thispersondoesnotexist.com which was always pretty good but of course it is
- 🤣🤣🤣
-
Many AI images have are photorealistic, but have a strangely empty and ''soulless'' expression. Something is wrong, but it's hard to say what
Not the workflow for these images, but if you easily want to spice up your gens with a bit more natural look, try using images from thispersondoesnotexist.com with IPAdapter face model.
-
‘Nudify’ Apps That Use AI to ‘Undress’ Women in Photos Are Soaring in Popularity
...then they just use the app on generated images of not real people (potentially based on specific inputs to remind you of a real person).
-
Quan Chi is from Massachusetts
Also we can generate very realistic faces with AI, https://thispersondoesnotexist.com/ (old example), fully 3D faces are doable at this point. So in another 5-10 years a low profile model like him wouldn't even be hired for this, they would just generate a digital face model. Unionizing will only speed up studios adoption of digital replacements.
-
Sketchy Youtube comments talking about Hostinger
It looks like they all use a profile picture made with https://thispersondoesnotexist.com/
- Lorem picsum but for avatars?
What are some alternatives?
ALAE - [CVPR2020] Adversarial Latent Autoencoders
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
autoregressive - :kiwi_fruit: Autoregressive Models in PyTorch.
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
RAVE - Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
molecule-generation - Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation
dalle-mini - DALL·E Mini - Generate images from a text prompt