denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch (by lucidrains)
musiclm-pytorch
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch (by lucidrains)
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| denoising-diffusion-pytorch | musiclm-pytorch | |
|---|---|---|
| 11 | 6 | |
| 6,994 | 3,005 | |
| - | - | |
| 8.6 | 5.3 | |
| 15 days ago | 8 months ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of denoising-diffusion-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-30.
- Commits · lucidrains/denoising-diffusion-pytorch
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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?
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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
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[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
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[D] Can a Diffusion Model be trained with an NVIDIA TITAN X?
Sure. I am using: https://github.com/lucidrains/denoising-diffusion-pytorch
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[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
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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.
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[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.
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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!
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[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!
musiclm-pytorch
Posts with mentions or reviews of musiclm-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-06.
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Training musiclm
Has anyone tried to train this model : lucidrains/musiclm-pytorch: Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch (github.com) ? Could you provide any useful resources that can help me? Or share your process?
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[P] Did anyone manage to run the MusicLM implementation from lucidrains?
Here's the issue I have: https://github.com/lucidrains/musiclm-pytorch/issues/13
- FLiP Stack Weekly for 06 February 2023
- Open source implementation of Google's MusicLM in PyTorch
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Implementation of Google's MusicLM in PyTorch
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
https://github.com/lucidrains/musiclm-pytorch/blob/main/musi...
What are some alternatives?
When comparing denoising-diffusion-pytorch and musiclm-pytorch you can also consider the following projects:
ALAE - [CVPR2020] Adversarial Latent Autoencoders
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
autoregressive - :kiwi_fruit: Autoregressive Models in PyTorch.
audiolm-pytorch - Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
phenaki-pytorch - Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch
Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models
Yoopta-Editor - Notion-like editor with similar behaviour
RAVE - Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
walk - Terminal file manager
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
denoising-diffusion-pytorch vs ALAE
musiclm-pytorch vs jukebox
denoising-diffusion-pytorch vs autoregressive
musiclm-pytorch vs audiolm-pytorch
denoising-diffusion-pytorch vs stylegan2-pytorch
musiclm-pytorch vs phenaki-pytorch
denoising-diffusion-pytorch vs Awesome-Diffusion-Models
musiclm-pytorch vs Yoopta-Editor
denoising-diffusion-pytorch vs RAVE
musiclm-pytorch vs walk
denoising-diffusion-pytorch vs pytorch-lightning
musiclm-pytorch vs yq