Forwarded from π³
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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 ClΓ©ment 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.
π‘ Flash Diffusion page
π₯ GitHub
π€ Flash SD
π€ Flash SDXL
https://t.me/DataScienceTβ
This is the name of the work recently published by ClΓ©ment 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://t.me/DataScienceT
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https://t.me/DataScienceT
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She is a professional trader and broadcasts her way of making money trading on her channel EVERY subscriber she has helped, and she will help you.
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2. Write βGIFTβ to her private messages
3. Follow her channel and trade with her. Repeat transactions after her = earn a lot of money.
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She is a professional trader and broadcasts her way of making money trading on her channel EVERY subscriber she has helped, and she will help you.
π§ Do this and she will help you earn :
1. Subscribe to her channel
2. Write βGIFTβ to her private messages
3. Follow her channel and trade with her. Repeat transactions after her = earn a lot of money.
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π2
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.
βͺοΈGithub: https://github.com/IntelLabs/MMPano
βͺοΈPaper: https://arxiv.org/abs/2406.01843
βͺοΈProject: https://zhipengcai.github.io/MMPano/
βͺοΈVideo: https://youtu.be/XDMNEzH4-Ec
https://t.me/DataScienceT
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π7
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://t.me/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://t.me/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://t.me/DataScienceT
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1. Register and get 9999 USDT, with a maximum rebate of 10% deposit.
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24-hour uninterrupted data collection, no need for manual observation, efficient and stable profit. This is the EU automatic quantitative system.
Telegram customer service: https://t.me/eu_online_service1
Member registration link: https://euexchange.cc/#/register?i=135623
EU official channel: https://t.me/EUExchangevip
EU official group: https://t.me/EUExchangeVipGroup
1. Register and get 9999 USDT, with a maximum rebate of 10% deposit.
2. USDT quantification, funds are automatically credited and withdrawn.
3. Quantification VIP1-VIP8, quantitative income 3%-13%
4. Support multiple currencies, regular quantification 1.5%-6.0%
5. Quantification is reset once every 24 hours, and quantification is once a day.
6. Promote three-level quantitative trading agents (A5%+B2%+C1%=8% reward)
24-hour uninterrupted data collection, no need for manual observation, efficient and stable profit. This is the EU automatic quantitative system.
Telegram customer service: https://t.me/eu_online_service1
Member registration link: https://euexchange.cc/#/register?i=135623
EU official channel: https://t.me/EUExchangevip
EU official group: https://t.me/EUExchangeVipGroup
π1
Forwarded from π³
How to create passive income on Telegram?
You can make it with @Whale!π₯°
The best part is that you can invite as many friends as you want and make tons of money while they playπ²
What does your income consist of and how does it work?
π You receive 10% of Whale's earnings from each direct referral.
π 1% for each 2nd level referral.
π Monthly paid earnings in $TON.
The more friends you invite, the more chances you have to hit the big jackpot β get a share of the @whale jackpot when someone wins it!Sometimes it happens π
Referrals are counted when:
β
Your friends follow your referral link.
β
Their wallets and Telegram accounts were not previously members of the Whale system.
β
They link their Telegram account to the bot.
β
They participate in some Whale games.
How to invite friends?
Get a unique invitation link by clicking βEarnβ in the application itself or in the bot, and share this link with your friends!π³
You can make it with @Whale!
The best part is that you can invite as many friends as you want and make tons of money while they play
What does your income consist of and how does it work?
The more friends you invite, the more chances you have to hit the big jackpot β get a share of the @whale jackpot when someone wins it!
Referrals are counted when:
How to invite friends?
Get a unique invitation link by clicking βEarnβ in the application itself or in the bot, and share this link with your friends!
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VideoLLaMA 2, a logical evolution of past models, includes a specialized space-time convolution (STC) component that effectively captures complex dynamics in video.
https://t.me/DataScienceT
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Forwarded from Advert Deal
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StreamSpeech is a seamless All-in-One model for offline and synchronous speech recognition, speech translation and speech synthesis.
https://t.me/DataScienceT
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π3
> > > Outperforms GPT4-Turbo, Claude3-Opus, Gemini-1.5Pro, Codestral in coding and math problems.
> Supports 338 programming languages, 128K context length.
> Fully open source code in two sizes: 230B and 16 B
DeepSeek-Coder-V2 outperforms Yi-large, Claude3-Opus, GL M4 and Qwen2-72B in the Arena-Hard-Auto table.
βͺοΈHF: https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct
βͺοΈGithub: https://github.com/deepseek-ai/DeepSeek-Coder-V2/blob/main/paper.pdf
βͺοΈDemo: https://chat.deepseek.com/sign_in?from=coder
https://t.me/DataScienceT
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TSI-Bench: Benchmarking Time Series Imputation
π₯ Github: https://github.com/WenjieDu/Awesome_Imputation
π Paper: https://arxiv.org/pdf/2406.12747v1.pdf
π Dataset: https://github.com/WenjieDu/TSDB
https://t.me/DataScienceTβ
https://t.me/DataScienceT
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