It is free for the general whatsapp user, but larger enterprises will be charged for advanced tools to so they can communicate with customers on this platform now used by over a billion people worldwi

Render ATL's goal for this year's convention is to help bridge the divide between Black culture and Silicon Valley culture.

Kansas City, Missouri, is increasing its investment in the Lipari Brothers Sun Fresh Market at East 31st Street and Prospect Avenue, citing a few challenges. One major hurdle, according to city officials, is a lack of population in the area, but there is now a plan in place to address it.

Sushi is the most famous food in the world. In this video, we made 7 types of sushi for you. You must see the sushi made with fresh fish and vegetables. :)
Hope you would enjoy it and subscribe to our channel. Cheers!
Spider Roll, Maki, California Roll, Uramaki, Philadelphia Roll

Thanks to Ayumi Sushi Bar

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Welcome to Eat More. In this channel, we will present you delicious and easy recipes that you can cook at home from the world cuisine, interesting street food from all over the world, healthy recipes, food in nature, and food tour videos. We hope you enjoy watching our videos and make us happy by giving us feedback. Have a good time. 😊😊
#sushi, #japanesefood, #seafood

Stability AI unveils Stable Diffusion XL 1.0, now available on Amazon Bedrock for developers worldwide.

Read more ➡️ https://bit.ly/3Kgsv9s

Announcing Stability for Blender - use our full range of models inside of your favorite CGI tool! Generate textures, animations and much more inside our new addon. Get it here: https://platform.stability.ai/....docs/integrations/bl

ANYONE can make a cartoon with this groundbreaking technique. Want to learn how? We made a ONE-HOUR, CLICK-BY-CLICK TUTORIAL on http://www.corridordigital.com/

Watch the full ROCK PAPER SCISSORS anime on Corridor ► https://youtu.be/GVT3WUa-48Y

This project has been a huge labor of love, and it is due to the amazing open-source community that we have this technology available to us. We hope that by sharing our discoveries and techniques that we can help push this technology forward for everyone. If you want to dip your toes into this tech, there are many amazing online communities ready to help teach you, including ours!

With Your Support, We Can Make More! ►
This project exists because of the amazing members of CorridorDigital, our INDEPENDENT STREAMING PLATFORM. All memberships begin with a 14-Day Free Trial and you can Cancel Anytime. Consider becoming a member yourself! http://www.corridordigital.com/learn-more

Anime Rock, Paper, Scissors Shirt?! ►
Available only until March 6th, we have a limited-edition Anime Rock Paper Scissors t-shirt and longsleeve design to celebrate this release. Check it out here! http://corridordigital.store/
Design by Kendrra Thoms https://kendrrathoms.com/

Gear Used ►
Puget Systems Computers: http://bit.ly/PC_Puget_Workstations
Lighting by Aputure: http://bit.ly/CORRIDOR_LIGHTS

00:00 - Intro
00:32 - RunwayML Showcase
03:04 - RunwayML Pricing
03:15 - How to use it
04:01 - Generations
05:06 - Masterworks
06:35 - PikaLabs showcase
09:55 - How to use PikaLabs
10:51 - Generations
11:56 - Stable video diffusion Showcase
14:17 - How to use Stable Video Diffusio
14:55 - Generations
15:36 - Comparison

LINKS:

RunwayML:
https://runwayml.com/


Pika Labs:
https://pika.art/


Stable Video Diffusion:
https://replicate.com/stabilit....y-ai/stable-video-di


CLICK HERE
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SebastiAn - CTFO (feat. M.I.A) [DMX Krew Remix], from the "CTFO" EP available here http://smarturl.it/CTFO<br />Subscribe to the Ed Banger channel: http://bit.ly/EdBangerChannel Check out the entire Ed Banger Records discography on YouTube, click here: http://po.st/EdRecDiscography

Un video con muchos saltos

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

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

Teaser officiel du colectif de la SHAKE IT . <br /><a class="link" rel="nofollow" href="http://checkitkrew.skyblog.com">http://checkitkrew.skyblog.com</a> <br /><br />Reproduction interdite <br />Copyright 06/08

(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.

I have this routing Combi wired between the Mastering Output and Hardware I/O of my default song template so I don't have to bother doing the routing every time I want to do internal sampling in Reason.

Download the Combi2 patch here: https://forum.reasontalk.com/viewtopic.php?f=69&t=7526275

haha galing!