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

#Tekno #Djlilithapro #Tekno #Afroinstrumentals #Beatmaking #Steinbergcubase #Propellerheadreason #Productiontips

Now adays sampling have just accelerated to another level with most of the upcoming artist tryna do a type of style or song they heard on the radio or tv because they are thinking the same thing will work for them as well instead of trying something new from scratch.

now being a producer you dont wanna lose cash on your hustle just because you cant sample a track presented to you by a client.

it might be they just want the same type of feel the song has or they wanna just give you an idea from where you can build base from

it could also be they want you to make the exact same thing, as a producer you have to be able to satisfy your clients needs and wants while maintaining your values and your true self

here is how you can sample any song / beat / track and trust me when i say any.

either its a song from the 90's or something more recent with this method you can sample anything and mess around with it and make your own from it

contact me via my number in the tutorial but also via the details below
for studio services like beat making, mixing and mastering

Whatsapp: +265883629067

Email : djlilthapro@gmail.com

https://www.facebook.com/kay.mpesi

https://www.facebook.com/DjLil91

https://www.facebook.com/Twilight-Stu...

https://www.instagram.com/djlilthapro1/

https://twitter.com/DjLil9

https://www.linkedin.com/in/dj-lil-th...

https://djlilthapro.tumblr.com/

this is the end... for someone

full-screen version

additional particles by HoovyTube

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

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Join Funneh, Rainbow, Gold, Lunar, & Draco for an epic eating adventure.

Presented in this video is the result of my exploration into the use of AI tools in filmography. The visuals you see were produced using Midjourney and Runway, AI-based tools that are transforming image creation. The script was developed with the assistance of ChatGPT, a leading language prediction model. To cap it off, the voices were synthesized using the technology provided by Eleven Labs. This is a testament to the evolving role of AI in the realm of digital content production.

GUYANA PROJECT KREW A KAYENN' [2005]

quelques footages de nos belles vacances avec nos bon amis