<B>Download: http://tinyurl.com/gphpvx3<P>Hambog Ng Sagpro Krew & Xykimac Ng Sagpro Zamurai - Bradley Diss Lyrics

Watch student dance crew Nu Sxool burn up the BGT stage with their Semi Final performance. See more from Britain's Got Talent here: ... <br /><br />Learn to dance the Danceacise Way - An inspiration to many renowned b'boys LilTim is one of the uk's finest & has worked professionally ... <br /><br />Relive dance troupe Four Corners' rocking performance to Nicole Scherzinger hit Poison in the BGT Live Semi Finals. See more from Britain's Got Talent here: ... <br /><br />Watch French martial arts crew Cascade perform their unique mix of stunts, flips and jumps in the second Britain's Got Talent Semi Final. See more from Britain's ... <br /><br />Dance Troupe Karizma Krew HD - Britains got talent 2012 Live Semi finals. Britain searches for a new act to perform in front of the royal family at the royal variety ... <br /><br />Karizma Krew's performance on the 2nd Live Semi Final on Britains Got Talent 2012. <br /><br />Watch dance troupe Karizma Krew rock the BGT stage with their body-popping Semi Final performance. See more from Britain's Got Talent here: ...<br /><br />Karizma Krew dance troupe - Britain's Got Talent 2012 Live Semi Final - International version<br /><br />Karizma Krew dance troupe - Britain's Got Talent 2012 Live Semi Final - International version

2013 Australian University Games - Judo - Harrison Nguyen (White) Vs. ??? (Blue) <br />2013 Australian University Games - Judo - Harrison Nguyen (White) Vs. ??? (Blue) <br />2013 Australian University Games - Judo - Harrison Nguyen (White) Vs. ??? (Blue) <br />2013 Australian University Games - Judo - Harrison Nguyen (White) Vs. ??? (Blue) [Full Episode] <br />2013 Australian University Games - Judo - Harrison Nguyen (White) Vs. ??? (Blue) [Full Episode] <br />2013 Australian University Games - Judo - Harrison Nguyen (White) Vs. ??? (Blue) [Full Episode] <br />2013 Australian University Games - Gold Coast - Judo

"Oddaj krew, podziel się życiem" pod takim hasłem odbyła się ogólnopolska akcja zbierania krwi Fundacji Mam Marzenia.<br /><br />Akcja odbyła się w 14 miastach Polski, także w Lublinie. Na Placu Litewskim ustawiony jest autobus w którym wszyscy zainteresowani mogą oddać krew. Ogólnopolska akcja zbiórki krwi została stworzona razem z Regionalnym Centrum Krwiodawstwa i Krwiolecznictwa w Lublinie, pod patronatem Narodowego Centrum Krwi.<br /><br />Zebrana w tym dniu krew będzie przeznaczona dla dzieci. Oddawaniu krwi uczestniczyły także pokazy Bractwa Rycerskiego Ziemi Lubelskiej oraz gry i zabawy dla dzieci.

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⁣Tecknat Barn Svenska:Kalle Stropp och Grodan Boll på svindlande äventyr (1991) DVDRIPPEN (Svenska) Knattebio (4D)

GOD OVER EVERYTHING will bless your soul and lift your spirit up in worship to God almighty

This week, the top 3 AI company working on Generative Video release some major updates.

First on the list was Stability AI, the company behind Stable Diffusion.
Stable Diffusion is the most popular open source AI tech for text to image generation and it powers some of the top AI apps like Leonardo AI and Dream Studio.

First update is from Stability AI. They have introduced the first open generative AI video model, which is based on the popular Stable Diffusion model.

Right now, you can join the wait list for an upcoming app. And if you are more technical, you can access this initial model through Github.

They also release a new image generation model inside of their App Clipdrop you can try now. It’s called SDXL Turbo and it can literally generate images in real time.

The second company with a big leap in AI video was Runway. Runway is still the leading text to video platform with Runway Gen-2. They released a new update called Magic Brush.
With Magic brush, you can brush over a specific part of an image and bring it to life.

This is available to use right now.

And third, we have PikaLabs and introduction of Pika 1.0.

Pika was only available on Discord, but with the release of Pika 1.0, it’s also coming to the web.

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This episode is supported by exceptional companies such as Levels: real-time feedback on how diet impacts your health https://levels.link/peter .

In this episode, Emad and Peter hop onto Twitter Spaces to discuss the latest petition to halt AI training, if language models will lead to AGI, and what could happen if the power of AI is abused. Emad Mostaque is the CEO and Founder of Stability AI, a company funding the development of open-source music- and image-generating systems such as Dance Diffusion and Stable Diffusion. Generate images with ⁠Stable Diffusion: https://stability.ai/blog/stab....le-diffusion-announc ⁠

Topics:

00:00 Intro
02:54 Artificial Intelligence: Friend or Foe?
07:20 Is GPT-4 Enough To Reach A True Artificial Intelligence?
11:06 What Are People Threatened By With AI?
20:08 Should We Be Slowing The Development Of AI?
24:03 Is The Goal To Work Less, Or To Become Superhuman?
26:23 Open Or Closed: How Should AI Be Controlled?
29:53 How Open Source Companies Make Money.
31:30 Will There Ever Be A Need For AGI When We Have GPT-4?
37:01 Emad Mostaque's Vision For Education Across The World.
38:31 Knowledge Needs To Be Accessible & Shared With Everyone.
44:36 How Do We Stop People From Abusing The Power Of AI?
47:33 What Will AI In Healthcare Look Like In Just 5 Years' Time
49:36 Will AI Be Replacing People's Jobs & Should We Be Worried?
52:54 How Do We Stop The Leaders That Want To Abuse AI?
57:19 AI Will Help Us Connect More With The People Around Us.
59:28 Is There A Competition With AI Across Economies?
1:00:27 Artificial Intelligence Will Become The Ultimate User Interface.
1:02:20 AI Isn't About Replacement It's About Enhancing Our Ability To Think.
1:08:14 Outro



--------------------------------------------

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Trailer composed and edited by @abramshaffer

traning mdrr

Freedownload : http://soundcloud.com/dakrewlegroupe/sets/tu-par-la-mort/<br />Da Krew on Facebook : https://www.facebook.com/pages/DA-KREW/24279839447<br />Da Krew on Twitter : https://twitter.com/#!/dakrewlegroupe

Du motocross cette semaine pour Qc Krew.<br />Kartel tv fait un tour au Xtown avec Maxime Knitel et Alexandre Morin.<br /><br />Pour toujours plus de contenu: www.karteltv.com<br />www.karteltv.com

Teledysk Stworzył MaszynaXGaming

Ósma odsłona LARPa Szczecin by Night upłynęła pod znakiem wilkołaczych sądów i walk o władzę i odbyła się 26.11.2011 w pubie "Karoseria" w Szczecinie.<br /><br />LARP na zasadach WoD "Mind's Eye Theater", "Werewolf: Laws of the Wild".<br /><br />www.szczecinbynight.com

The League Season 1 Ageless Style Krew vs Rhythm Kidz

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(All lesson resources are available at http://course.fast.ai.) This is the first lesson of part 2 of Practical Deep Learning for Coders. It starts with a tutorial on how to use pipelines in the Diffusers library to generate images. Diffusers is (in our opinion!) the best library available at the moment for image generation. It has many features and is very flexible. We explain how to use its many features, and discuss options for accessing the GPU resources needed to use the library.

We talk about some of the nifty tweaks available when using Stable Diffusion in Diffusers, and show how to use them: guidance scale (for varying the amount the prompt is used), negative prompts (for removing concepts from an image), image initialisation (for starting with an existing image), textual inversion (for adding your own concepts to generated images), Dreambooth (an alternative approach to textual inversion).

The second half of the lesson covers the key concepts involved in Stable Diffusion:
- CLIP embeddings
- The VAE (variational autoencoder)
- Predicting noise with the unet
- Removing noise with schedulers.

You can discuss this lesson, and access links to all notebooks and resources from it, at this forum topic: https://forums.fast.ai/t/lesso....n-9-part-2-preview/1

0:00 - Introduction
6:38 - This course vs DALL-E 2
10:38 - How to take full advantage of this course
12:14 - Cloud computing options
14:58 - Getting started (Github, notebooks to play with, resources)
20:48 - Diffusion notebook from Hugging Face
26:59 - How stable diffusion works
30:06 - Diffusion notebook (guidance scale, negative prompts, init image, textual inversion, Dreambooth)
45:00 - Stable diffusion explained
53:04 - Math notation correction
1:14:37 - Creating a neural network to predict noise in an image
1:27:46 - Working with images and compressing the data with autoencoders
1:40:12 - Explaining latents that will be input into the unet
1:43:54 - Adding text as one hot encoded input to the noise and drawing (aka guidance)
1:47:06 - How to represent numbers vs text embeddings in our model with CLIP encoders
1:53:13 - CLIP encoder loss function
2:00:55 - Caveat regarding "time steps"
2:07:04 Why don’t we do this all in one step?

Thanks to fmussari for the transcript, and to Raymond-Wu (on forums.fast.ai) for the timestamps.