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.

Dernière vidéo de jak 2, je ne galère pas tant que sa sur le dernier niveau mais le boss de fin m'a légèrement posé problème. Enjouille.<br /><br />Pour ceux qui voudrait voir le groupe Rebirth walkthrough si vous ne le connaissez pas déjà :<br />http://www.dailymotion.com/group/Rebirth_WT

Taking OVER Minecraft Bedwars as NOOB!<br /><br /><br />We play Minecraft Bedwars after half a year...<br />► Subscribe & never miss a video!<br /><br />Enjoy the video and don't forget to like & subscribe for more.<br /><br />Thanks for watching! :]<br />

battle

Akcja krwiodastwa na Krupówkach w Zakopanem

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

The League Juniors Season 1 Ageless Style Krew vs Breaking Point

BGT stage with their<br />body-popping Semi Final performance.

primer video k malos que eramos xD

Site SEGA-Mag: http://www.sega-mag.com/ <br />Site Amatest : http://www.amatest.com/ <br /> <br />Et voici un nouveau test MegaDrive avec, comme pour SplatterHouse 3, une des deux Miss qui m'accompagnent dans cette vidéo. <br />Skeleton Krew est un jeu qui mérite une petite attention avec son univers inter-galactique: ses personnages, la possibilité de jouer à deux et sa bande-son. <br /> <br />Pour en savoir plus, c'est dans la vidéo. <br /> <br />Bon visionnage.

(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.

THe krew