AKUSTIKA - TEMAN LELAKI UPAHAN (LIVE) - Akustika AM Krew

Erratic Krew (Wizard 3dee) & CMO (Fly Mic's) Rocky Two. http://www.facebook.com/wizard3dee

Liberian Crafts at Liberian Culture Expo

⁣🇱🇷 Immerse yourself in the rich tapestry of Liberian culture through its art and craft. ✨ This video from the Liberian Culture Expo celebrates the diverse talents of Liberian artisans, from traditional weaving and beadwork to contemporary paintings and sculptures. #liberiancultureexpo #bfreetv #liberianart #CulturalExpression

this is the end... for someone

full-screen version

additional particles by HoovyTube

Contact me:
instagram.com/dafuqboomtv
blugrayguy@gmail.com

In ASK. SEEK. KNOCK. Pastor Philip A. Mitchell walks us through Matthew 7:7-12.

Welcome to the official Youtube channel for 2819 Church. This channel features powerful and life-impacting messages from Philip Anthony Mitchell and guest communicators.

As you listen to these sound biblical messages you can expect to be challenged, stirred, matured and inspired in your faith and walk with God. For more information about us visit 2819Church.org.

Hot Gifts http://goo.gl/OIw4cM<br />Best-Sellers Gifts http://goo.gl/QEQRpE<br />Pro Gifts 2015 http://goo.gl/OIw4cM<br />2015 Holiday Gift http://goo.gl/84Gd2S

⁣Kalle Stropp, Grodan Boll och deras vänner (1956) DVDRIPPEN (Svenska) Hela Filmen (3D)

Making delicious sushi rolls at home is easy, you just need a few ingredients like tuna, cucumber, nori, and short grain rice.

For the complete recipe:
http://www.justonecookbook.com..../recipes/sushi-rolls

Ingredients:

Sushi Rice
3 rice cooker cups (540 ml) short grain Japanese rice*
2” (5 cm) kombu (optional – traditionally, for sushi we cook rice with kombu)
For Sushi Vinegar
⅓ cup rice vinegar
3 Tbsp sugar
1 ½ tsp kosher/sea salt

Fillings
1 Japanese or Persian cucumber (yield 8 rolls)
6.8 oz (194 g) sashimi-grade tuna (yield 12 rolls)
1 box Natto (fermented soybean) (yield 2 rolls)

Everything Else
5 full sheets nori (roasted seaweed)
Vinegared hand-dipping water (Tezu): ¼ cup water + 2 tsp. rice vinegar
Soy sauce
Wasabi (optional)
Pickled ginger (optional)

Equipment you will need:
One bamboo sushi mat (See the post for the recommendation)

Music courtesy of Audio Network: "Slipstream"
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Check out my blog: http://www.justonecookbook.com/

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Fat Princess The Smurf Krew Makes The Host Rage Quit...

Setup Instructions (Python 3.10.11, 4090, working on Windows): https://pastebin.com/YpqNSHFy

If you are still running into cuda issues after trying p13.txt take a read at this: https://pastebin.com/eSiVGGzA

Requirements:

Probably can run it if you have at least 6Gb of VRAM

Anaconda

Git

Generative-Models github

SVD or SVD_XT

Download Links:

Anaconda: https://www.anaconda.com/download

Git: https://git-scm.com/downloads

Generative-Models Github: https://github.com/Stability-AI/generative-models

SVD: https://huggingface.co/stabili....tyai/stable-video-di

SVD_XT: https://huggingface.co/stabili....tyai/stable-video-di

Info:

Convert your images to videos with Stable Video Diffusion!

https://stability.ai/news/stab....le-video-diffusion-o

Lincoln Prep staff member under investigation for inappropriate communication

It's our first day on the job and we can't let any Dopplegangers in!
Subscribe & never miss a video! http://bit.ly/Funneh
Watch another video! https://youtu.be/mTzR_GzHt0w?si=CoD0V9Z9f7UxNglI

*VIDEOS!*
✦ Gaming / https://youtube.com/playlist?l....ist=PLfjWV0CFo_5xJh_
✧ Vlogs / https://youtube.com/playlist?l....ist=PLfjWV0CFo_5x2pQ
✦ Livestreams / https://youtube.com/playlist?l....ist=PLfjWV0CFo_5wTzN

*KREW!*
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@ItsFunneh
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*GAME!*
That's Not My Neighbor
https://bit.ly/3wYqlYw

If you enjoyed the video, like & subscribe to show your support! Thanks for watching! :]
#Funny #ItsFunneh #KREW

⁣Tecknat Barn Svenska:Disney+ (2019-2024) DVDRIPPEN (Svenska) Trailer (4D)

(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.