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Smoked salmon and cream cheese… we all know it’s a good combination but how’s it in sushi? Well, the extremely popular Philadelphia roll is proof that it’s not just good on bagels but in makizushi as well. And adding other ingredients such as cucumber and avocado makes it even more of a delight.
The smokiness of the salmon, rich, creamy texture of the cream cheese, and crunchy, fresh flavor of the cucumber makes the roll well balanced and mild enough for any sushi beginner. Not to mention, there’s no raw ingredient so it’s the perfect entry-level sushi and great for young kids.
But the best part of it all is the accessibility of the ingredients. Fresh, “sushi-grade” seafood is not always available for many people, especially here in the States. But you can find quality smoked salmon at almost any grocery store, making the Philly roll one of the easiest sushi rolls you can make at home.
In this video I show you how to make three different variations of the Philadelphia roll and I only use four ingredients: smoked salmon, cream cheese, cucumber, and avocado. Add some sushi rice and nori and you’re ready to roll!
🍣 WHAT'S IN THIS VIDEO:
00:00 Intro
00:31 Ingredients
02:37 Preparation
05:20 Rolling
05:40 Roll #1
08:36 Roll #2
10:05 Roll #3
12:32 Cutting
14:56 Plating
📽️RELATED VIDEOS
How to Make Sushi Rice - https://youtu.be/gZs0sj39Y_Y
How to Cut Cucumber - https://youtu.be/iAeH_ZwuJug
How to Cut Avocado - https://youtu.be/3sWovLoeDaI
How to Roll Sushi - https://youtu.be/40MiH9-FQ5w
(This video description contains affiliate links, which means I may receive a small commission at no extra cost to you.)
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How to Make Sushi at Home - A Fundamental Guide for Beginners and Beyond
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🍣 WHAT I TALK ABOUT IN THIS CHANNEL: Sushi, how to make sushi at home, how to make sushi rice, Japanese food, Japanese cuisine, homemade sushi, sushi rolls, how to roll sushi, Japanese cooking, dashi, miso soup, sake, sushi supplies and equipment, sushi sauces, poke, how to cut fish for sushi, sushi sake pairings, teriyaki, tempura, izakaya, Japanese beer food, Hawaiian food, onigiri, omusubi, spam musubi, fried chicken, karaage and more!
🍣 GET THE ULTIMATE SUSHI MAKING CHECKLIST for FREE at https://UltimateSushiKit.com
🍣 CONTACT THE SUSHI MAN: Jun@TheSushiMan.com
🍣 ABOUT THE SUSHI MAN:
Jun Nakajima, CHEF AND FOUNDER
Raised in a restaurant household, Jun's love for food began at a very early age. His parents have owned and operated a Japanese restaurant for over 30 years where he practiced and honed his culinary skills.
Somewhat forced upon, he was taught the art of sushi making in his teenage years. He quickly fell in love not only with the art but the endless opportunities that came with it.
He has traveled around the globe to try different styles of sushi, most importantly to Japan.
After college, Jun had taken an opportunity to live in the motherland of sushi, working for something completely outside the culinary field. In those two years his appreciation of the culture, people, history and food deepened.
He became addicted to the food scene and found himself traveling from one end of the island to the other, eating and drinking some of the best foods and drinks he's ever had. This experience became the seed which eventually bloomed to become The Sushi Man.
The Method I use to get consistent animated characters with stable diffusion. BYO video and it's good to go!
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BlackEnterprise.com talks to Soledad O'Brien about Black in America 4 and the problems and promise of blacks in technology
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How to install Stable Diffusion on your local PC: https://youtu.be/TbLAtMN7Vyk
How to install ControlNet in Stable Diffusion: https://youtu.be/oO3zIfH4LRE
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Sledgehammer AI Music Video by Kush
Placed in the Top 10 as Finalist for StabilityAI's DiffuseTogether Contest.
I used a combination of spreadsheets and Stability Diffusion tools as well was Warp Fusion to create this video.
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#musicvideo #petergabriel #psychedelic #aimusicvideo #aivideo
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This video was created using a spreadsheet and Stability AI tools for the DiffuseTogether competition featuring the music of Peter Gabriel.
#stablediffusion #stabilityai #petergabriel #musicvideo
--
Peter Gabriel had always been ahead of his time when it came to music. He had always pushed the boundaries and experimented with new sounds, but as he aged, he realized that his time in the spotlight was limited. He wanted to find a way to continue his music long after his physical body gave up on him. That's when he discovered the Metaverse.
The Metaverse was a virtual world where people could exist as digital beings. It was a place where one's consciousness could be uploaded and one could exist forever in a virtual world. Peter Gabriel saw this as the perfect opportunity to continue his music career long after his physical body had deteriorated. He began working on a project that would allow him to upload his consciousness into the Metaverse and transform himself into a cyborg performer.
Using advanced AI and spare parts, Peter Gabriel worked tirelessly to create the perfect cyborg version of himself. He called it the "Sledgehammer," after his hit song. As he worked, he couldn't help but think of the lyrics to the song, "I kicked the habit. Shed my skin." He was shedding his physical body and becoming something new, something immortal.
Finally, after months of hard work, the Sledgehammer was complete. Peter Gabriel uploaded his consciousness into the cyborg body and emerged as a digital being. He was no longer bound by the limitations of his physical body, and he could perform his music for eternity. As he took to the virtual stage, he sang the lyrics to "Sledgehammer," his metaphor for his transformation into a cyborg performer.
"I'm your Sledgehammer. Let there be no doubt about it." Peter Gabriel was now a force to be reckoned with in the virtual world, a performer that would never tire or grow old. "I've kicked the habit. Shed my skin. This is the new stuff. I go dancing in." He was dancing in the Metaverse, free to perform his music for all eternity.
As the concert came to an end, Peter Gabriel felt a sense of satisfaction that he had never felt before. He had achieved immortality through his music, and he knew that his legacy would live on long after he was gone. "You could have a steam train. If you'd just lay down your tracks." Peter Gabriel had laid down his tracks, and now he would ride the steam train of his music into eternity.
Welcome to Rock City
We are so glad that you are here, and we pray that this message blesses your life. We only have one rule at Rock City – you cannot ROCK by yourself! So take a second and share this message with everybody that you can.
About Us
Our Senior Pastor, Mike McClure Jr. is a thought leader, author and artist who has led Rock City to become one of the fastest growing churches in America. At Rock City our mission is to Love God, Love People and Make a Difference. Based in Birmingham, AL our church has grown to include four locations throughout Central Alabama.
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Make your next move, the best move of your life! If you received Christ as a result of this message text “HOME” to 28950.
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#lettinggo #pain #pastormikejr
“Welcome to All Access—where the invitation is simple, but the implications are serious.”
Congratulations to the Lincoln College Preparatory Academy Class of 2022! On Tuesday, May 17, 2022, Lincoln families, students, faculty and staff witnessed the commencement ceremony of the Class of 2022 at UMKC's Swinney Hall.
(Kansas City Public Schools [KCPS] and Lincoln College Preparatory Academy [LCPA] do not own the music used in this video. No copyright infringement intended. KCPS and LCPA do not gain any profit from these videos. For entertainment purposes only)
WSJ wealth reporter Robert Frank shares investment strategies he's learned about since covering the super-rich. Hold cash, buy gold, invest globally!
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Tecknat Barn Svenska:47:an Löken (1971) DVDRIPPEN (Svenska) Hela Filmen
This was an evening that recognizes the contributions and achievements of African Americans in business and technology and their impact on Silicon Valley
(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.
Fat Princess The Smurf Krew Makes The Host Rage Quit...
