jukebox
dalle-2-preview | jukebox | |
---|---|---|
61 | 129 | |
1,049 | 7,571 | |
0.0% | 0.5% | |
1.8 | 0.0 | |
almost 2 years ago | about 2 months ago | |
Python | ||
- | GNU General Public License v3.0 or later |
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.
dalle-2-preview
-
Microsoft-backed OpenAI to let users customize ChatGPT | Reuters
We believe that many decisions about our defaults and hard bounds should be made collectively, and while practical implementation is a challenge, we aim to include as many perspectives as possible. As a starting point, we’ve sought external input on our technology in the form of red teaming. We also recently began soliciting public input on AI in education (one particularly important context in which our technology is being deployed).
- OpenAI AI not available for Algeria, gotta love Algeria
-
The argument against the use of datasets seems ultimately insincere and pointless
From this OpenAI document:
-
Dalle-2 is > 1,000x as dollar efficient as hiring a human illustrator.
It's also of note that you can't sell a game using this method, as Dalle-2's terms of service prevent use in commercial projects. It's hard to justify rate of return considering you can only ever give it away for free, and even in that case there are some uncertain legal elements regarding copyright and the images that are used to train the dataset.
-
It's pretty obvious where dalle-2 gets some of their training data from! Anyone else had the Getty Images watermark? Prompt was "man in a suit standing in a fountain with his hair on fire."
On their GitHub https://github.com/openai/dalle-2-preview/blob/main/system-card.md I can only see references to v1.
-
“Pinterest” for Dalle-2 images and prompts
"b) Exploration of the bolded part of OpenAI's comment "Each generated image includes a signature in the lower right corner, with the goal of indicating when DALL·E 2 helped generate a certain image." (source)." (source link: https://github.com/openai/dalle-2-preview/blob/main/system-c...)
I feel the DALL-E 2 watermark signature could be a seed or something.
- I’m an outsider to digital art and have a couple questions about A.I created art.
-
The AI Art Apocalypse
DALL-E's docs for example mention it can output whole copyrighted logos and characters[1] and understands it's possible to generate human faces that are bear the likeness of those in the training data. We've also seen people recently critique Stable Diffusion's output for attempting to recreate artists' signatures that came from the commercial trained data.
That said by a certain point the kinks will be ironed out and likely skirt around such issues by only incorporating/manipulating just enough to be considered fair use and creative transformation.
[1] "The model can generate known entities including trademarked logos and copyrighted characters." https://github.com/openai/dalle-2-preview/blob/main/system-c...
- Trabalhei no projeto Dall-e, me pergunte qualquer coisa (AMA)
-
Official Dalle server: Why “furry art” is a banned phrase
Some types of content were purposely excluded from the training dataset(s) (source).
jukebox
-
Open Source Libraries
openai/jukebox: Music Generation
- Will AI be able to create similar sounding music based off input?
-
Best model for music generation?
https://github.com/openai/jukebox The demo code is there.
-
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.
-
[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.
-
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.
-
Mongolian Gabba Goat Techno
That already exists
- El éxito continuo de OpenAI: Y como llegaron a crear la IA más avanzada del 2023. ChatGPT.
-
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
What are some alternatives?
dalle-mini - DALL·E Mini - Generate images from a text prompt
lucid-sonic-dreams
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
spleeter - Deezer source separation library including pretrained models.
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
music-demixing-challenge-starter-kit - Starter kit for getting started in the Music Demixing Challenge.
disco-diffusion
glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model