jukebox
cycle-diffusion
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| jukebox | cycle-diffusion | |
|---|---|---|
| 129 | 8 | |
| 7,571 | 516 | |
| 1.9% | - | |
| 0.0 | 6.1 | |
| about 2 months ago | 4 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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jukebox
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Open Source Libraries
openai/jukebox: Music Generation
- Will AI be able to create similar sounding music based off input?
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Best model for music generation?
https://github.com/openai/jukebox The demo code is there.
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Why didn't OpenAI MIT license Jukebox the same way they did CLIP?
I didn't even know about it until I heard Sam Altman casually mention it in an interview, I was expecting some basic tunes generator, but this is so amazing! I mean yeah the voices are not clear, it's muffled, but look at how far have image models progressed, if you applied the same amount of collaborative effort here, the results could be amazing! ElevenLabs showed how good and clear can AI-created voices sound. The only reason I can think of is that the Jukebox code is under view license only.
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[R] [N] Noise2Music - Diffusion models for generating high quality music audio from text prompts, by Google Research
OpenAI had this figured out 3 years ago: https://openai.com/blog/jukebox/ . You could then even define your own text. Model is open source too.
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Is music next?
They've had jukebox for a few years now, so I'm sure some new model will get released and explode overnight, like what chatGPT did.
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Mongolian Gabba Goat Techno
That already exists
- El éxito continuo de OpenAI: Y como llegaron a crear la IA más avanzada del 2023. ChatGPT.
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Implementation of Google's MusicLM in PyTorch
This model is designed to output raw audio.
However, there are many models which do output midi. That's actually much simpler, and has been done already a few years ago.
I thought OpenAI did this. But then, I might misremember, because their Jukebox actually also seems to produce raw audio (https://openai.com/blog/jukebox/).
However, midi generation is so easy, you even find it in some tutorials: https://www.tensorflow.org/tutorials/audio/music_generation
- FREE AI THINGS
cycle-diffusion
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[D] CycleGAN Diffusion equivalent
CycleDiffusion
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[R] Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance + Diffusers and Gradio Demo
github: https://github.com/chenwu98/cycle-diffusion
- Artists say AI image generators are copying their style to make thousands of new images — and it's completely out of their control
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How long until language model prompting?
Oh... Right after I wrote that reply, I found this. https://github.com/ChenWu98/cycle-diffusion Probably even closer to what you wanted. :)
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Google has opensourced Prompt-to-Prompt
CycleDiffusion which apparently somehow infers the random seed for any arbitrary image
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CycleDiffusion: Text-to-Image Diffusion Models Are Image-to-Image Editors via Inferring "Random Seed"
can't say I've seen a project with 468 dependencies before
What are some alternatives?
lucid-sonic-dreams
Anti-DreamBooth - Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
prompt-to-prompt
spleeter - Deezer source separation library including pretrained models.
PITI - PITI: Pretraining is All You Need for Image-to-Image Translation
music-demixing-challenge-starter-kit - Starter kit for getting started in the Music Demixing Challenge.
stable-dreambooth - Dreambooth implementation based on Stable Diffusion with minimal code.
dalle-mini - DALL·E Mini - Generate images from a text prompt
RelayDiffusion - The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
concept-ablation - Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)