Mode 01: Stylization
Transfer the style of any image or prompt to every frame of your video with Stylization mode.
MULTIMODAL AI
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Stylization Mode: Transfer Image Styles to Video Frames
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Gen-1 Transforms Videos with AI Image and Text Prompts
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No lights, no cameras, all action Gen-1 lets you turn existing videos into new, compelling pieces of footage with just images or text prompts.
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Open Source Speech Synthesis Models: FastSpeech2, VITS, TorToise
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Yes! My point was referring specific to closed source API the David was mentioning in the video.
All, FastSpeech2, VITS and TorToise (inference) are OSS. :)) -
Simpsons Intro in Experimental Cubist Stop Motion with Runway AI
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La intro de los Simpson pero en estilo stop motion cubista experimental creada con la IA de Runway Gen 1! https://t.co/5XGf0eM6Vx
— Carlos Santana (@DotCSV) 10 février 2023La intro de los Simpson pero en estilo stop motion cubista experimental creada con la IA de Runway Gen 1!
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SpeechT5 vs FastSpeech2 vs VITS: TTS Model Comparison
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Ofcourse. It depends on what do you optimise for SpeechT5 TTS (AR) does sound better than vanilla FastSpeech2 (NAR) however worse than VITS/PortaSpeech. Significantly worse than TorToise TTS. However it is considerably slow.
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Hugging Face Diffusers: Pre-trained Diffusion Models for Vision and Audio
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4. Hugging Face Diffusers We are noticing the recent trend with applications using Diffusion Models either it can be Stable Diffusion or Dalle E Diffusers library provide you with pre trained diffusion models across vision and audio. Check this: https://
github.com/huggingface/di
ffusers
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Transformers from Hugging Face: Pretrained Models for Text, Vision, Audio
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1. Transformers from Hugging Face Transformers library provides you with thousands of pretrained models to perform tasks on text, vision, and audio. This will help you with leveraging the already existing models instead of building them from scratch. https://
github.com/huggingface/tr
ansformers
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Open Source AI Models: Flan, OPT-IML, Speech T5 Alternative
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Somebody tell my boi about @huggingface! You can replicate the same more or less (if not better) with Flan/ OPT-IML and Speech T5 TTS on the 🤗hub: https://t.co/fyV1nkC7I0
— Vaibhav (VB) Srivastav (@reach_vb) 10 février 2023
That’s the power of open source ⚡️ https://t.co/0trXRuup01Somebody tell my boi about @huggingface
! You can replicate the same more or less (if not better) with Flan/ OPT-IML and Speech T5 TTS on the hub: https://
huggingface.co/blog/speecht5 That’s the power of open source -
Nice Tests Facial Recognition at Rugby World Cup
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Nice wants to test a facial recognition system during the rugby world cup https://actuia.com/actualite/nice-veut-tester-un-dispositif-de-reconnaissance-faciale-lors-de-la-coupe-du-monde-de-rugby/
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PEZ integrated into KREA with optimized ViT-B/32 performance
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we just added PEZ to KREA!
— KREA AI (@krea_ai) 10 février 2023
by using ViT-B/32 + a few changes in the original code it runs in less than 3s ⚡️https://t.co/zvSfXDRxJVwe just added PEZ to KREA! by using ViT-B/32 + a few changes in the original code it runs in less than 3s