Alibaba has just released their new family of multilingual models that outperform the Llama 3 in many ways.
https://news.1rj.ru/str/DataScienceT
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Flash Diffusion - acceleration of any diffusion model for image generation in a few steps
This is the name of the work recently published by Clément Chadebec, Onur Tasar and their colleagues.
This is a distillation method for creating fast diffusion patterns.
When training the model using this method on the COCO2014 and COCO2017 datasets, the FID and CLIP-Score achieve good values; it requires only a few hours of training on the GPU and fewer model parameters than existing methods require.
🟡 Flash Diffusion page
🖥 GitHub
🤗 Flash SD
🤗 Flash SDXL
https://news.1rj.ru/str/DataScienceT✅
This is the name of the work recently published by Clément Chadebec, Onur Tasar and their colleagues.
This is a distillation method for creating fast diffusion patterns.
When training the model using this method on the COCO2014 and COCO2017 datasets, the FID and CLIP-Score achieve good values; it requires only a few hours of training on the GPU and fewer model parameters than existing methods require.
https://news.1rj.ru/str/DataScienceT
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The new Intel- L-MAGIC model can generate high-quality panoramic scenes based on a single input image and text prompt!
Numerous tests show that the model generates panoramic scenes with better scene placement and rendering quality than similar models.
▪️Github: https://github.com/IntelLabs/MMPano
▪️Paper: https://arxiv.org/abs/2406.01843
▪️Project: https://zhipengcai.github.io/MMPano/
▪️Video: https://youtu.be/XDMNEzH4-Ec
https://news.1rj.ru/str/DataScienceT
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In this article, Microsoft introduced VALL-E 2, the latest advancement in language models , which marks a major milestone in text-to-speech (TTS) synthesis, reaching the human level for the first time.
Experiments with LibriSpeech and VCTK datasets have shown that VALL-E 2 outperforms all previous models in terms of generated speech quality and naturalness.
https://news.1rj.ru/str/DataScienceT
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Unlike Sora or KLING, it is available for testing.
You can try it here: https://lumalabs.ai/dream-machine
https://news.1rj.ru/str/DataScienceT
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brew install gabotechs/taps/musicgptMusicGPT allows you to run the latest music generation models locally on any platform, without installing heavy dependencies such as ML frameworks.
Currently, MusicGPT only supports MusicGen from Meta, but there are plans to add even more different music generation models.
Quick start with Docker:
docker run -it --gpus all -p 8642:8642 -v ~/.musicgpt:/root/.local/share/musicgpt gabotechs/musicgpt --gpu --ui-exposeor using cargo:
cargo install musicgpthttps://news.1rj.ru/str/DataScienceT
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