Notice: file_put_contents(): Write of 1507 bytes failed with errno=28 No space left on device in /var/www/tgoop/post.php on line 50

Warning: file_put_contents(): Only 16384 of 17891 bytes written, possibly out of free disk space in /var/www/tgoop/post.php on line 50
BigData@bigdata_1 P.908
BIGDATA_1 Telegram 908
Msanii: High Fidelity Music Synthesis on a Shoestring Budget

Model combines the expressiveness of mel spectrograms, the generative capabilities of diffusion models, and the vocoding capabilities of neural vocoders.

Новая модель на основе диффузии для эффективного синтеза длинной музыки высокого качества.

pip install -q git+https://github.com/Kinyugo/msanii.git

🖥 Github: https://github.com/kinyugo/msanii

⭐️ Demo: https://kinyugo.github.io/msanii-demo/

⭐️ Colab: https://colab.research.google.com/github/Kinyugo/msanii/blob/main/notebooks/msanii_demo.ipynb

✅️ Paper: https://arxiv.org/abs/2301.06468

🤗Hugging face: https://huggingface.co/spaces/kinyugo/msanii

👉 @bigdata_1
Please open Telegram to view this post
VIEW IN TELEGRAM
👍2



tgoop.com/bigdata_1/908
Create:
Last Update:

Msanii: High Fidelity Music Synthesis on a Shoestring Budget

Model combines the expressiveness of mel spectrograms, the generative capabilities of diffusion models, and the vocoding capabilities of neural vocoders.

Новая модель на основе диффузии для эффективного синтеза длинной музыки высокого качества.

pip install -q git+https://github.com/Kinyugo/msanii.git

🖥 Github: https://github.com/kinyugo/msanii

⭐️ Demo: https://kinyugo.github.io/msanii-demo/

⭐️ Colab: https://colab.research.google.com/github/Kinyugo/msanii/blob/main/notebooks/msanii_demo.ipynb

✅️ Paper: https://arxiv.org/abs/2301.06468

🤗Hugging face: https://huggingface.co/spaces/kinyugo/msanii

👉 @bigdata_1

BY BigData




Share with your friend now:
tgoop.com/bigdata_1/908

View MORE
Open in Telegram


Telegram News

Date: |

Telegram Android app: Open the chats list, click the menu icon and select “New Channel.” SUCK Channel Telegram Among the requests, the Brazilian electoral Court wanted to know if they could obtain data on the origins of malicious content posted on the platform. According to the TSE, this would enable the authorities to track false content and identify the user responsible for publishing it in the first place. As five out of seven counts were serious, Hui sentenced Ng to six years and six months in jail. Polls
from us


Telegram BigData
FROM American