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There's a better way to teach and learn. Introducing BFree Learn: the AI-powered learning revolution
atch thrilling live local sports action on The UBC Network. Professional, college, and school games streamed in broadcast quality!
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Kalle Stropp, Grodan Boll och deras vänner (1956) DVDRIPPEN (Svenska) Hela Filmen (4D)
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Kansas City Star (Re-recorded) · Roger Miller
Greatest Hits - Finest Performances
℗ 1996 Sun Label Group, LLC
Released on: 1996-01-01
Producer: Sun Record Co.
Composer Lyricist: Roger Miller
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Collaboration between SurrealismToday [visuals] and Stachebone [sound]LIVE at Dance Church Minneapolis on 7/24/22 #aiart #neuralart #generativeart #glitchart #experimentalart #creative #ai #weirdart #artist #artwork #surrealismart #contemporaryart #instaart #contemporaryart #instaart #abstractart #fineart #digitalart #artsy #artoftheday #artgallery #arts #independentartist #vagan #vaganclip #vaganclipart #vqganart #wombodream #wombodreamart #starryai #nightcafestudio #art #instaart #artwork #instaartist #artofinstagram #inspiration #fineart #digitalart #digitalartist #digitalartwork #computerart #art #nftart #neuralart #aiartcommunity #machinelearning #abstractart #psychedelicart #generativeart #discodiffusion
Live from Temple Kol Emeth
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
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
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
It's our first day on the job and we can't let any Dopplegangers in!
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That's Not My Neighbor
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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.
Narodowe Siły Zbrojne Biało-czerwona krew NSZ. Leszek Bubel Band
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.