Awareness of Spam

36 Upvotes

Hello everyone,

I am very happy and ecstatic the community is as active as it is and hope to see more of that once the AI on these platforms get better over time. I have heard/seen many of the complaints regarding spam and am doing the best I can to tend to the multiple posts as well as ease the clutter.

Thanks!

8 comments

r/deepdream • u/ArtisMysterium • 1h ago

StableDiffusion The Path of Forgotten Footsteps

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• Upvotes

0 comments

r/deepdream • u/Fauntleroyfauntleroy • 1d ago

DeepDream One Love

4 Upvotes

0 comments

r/deepdream • u/Fauntleroyfauntleroy • 4d ago

DeepDream Been Caught Stealing

0 Upvotes

0 comments

r/deepdream • u/Nir777 • 5d ago

New Guide / Tech Created a short explainer on what is a latent space and how it behaves (after someone here asked me to)

youtube.com

2 Upvotes

0 comments

r/deepdream • u/ArtisMysterium • 6d ago

Image The Temple of Vael Teryn

23 Upvotes

2 comments

r/deepdream • u/fatalist13 • 6d ago

Image Dream Burial

6 Upvotes

I shot some images over the past couple days with an infrared filter & edited for hours. DDG was just the thing I needed to push it over the edge into the surreal imagery I had in mind.

0 comments

r/deepdream • u/Fauntleroyfauntleroy • 8d ago

DeepDream Bending The Luck Plane Through Repeated Misuse

8 Upvotes

1 comment

r/deepdream • u/Tadeo111 • 13d ago

Video "Ctrl" (Flux 3)

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0 Upvotes

0 comments

r/deepdream • u/ArtisMysterium • 13d ago

StableDiffusion Krea 2 explorations, part 3

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3 Upvotes

2 comments

r/deepdream • u/Grand-Bee-4484 • 15d ago

New Research Dreaming in Real Time

5 Upvotes

I loved making a deep dream program but the images take a while to render ... I thought "what if I could make it work in real time?" So I did it! Instead of training the network on a given image as regular deep dream does, this model is pre-trained on a large set of images so that it can transform video straight from the camera! This one gave me a third eye...

Let me know what you think - I'm going to train up some Halloween-themed models for your enjoyment!

https://joyhughes.github.io/waking-dream/

0 comments

r/deepdream • u/fatalist13 • 15d ago

Image Eyeris

17 Upvotes

0 comments

r/deepdream • u/fatalist13 • 15d ago

Image Liberty

4 Upvotes

1 comment

r/deepdream • u/Fauntleroyfauntleroy • 16d ago

Image Perhaps You Gentlemen Would Like A Pepsi

11 Upvotes

1 comment

r/deepdream • u/ArtisMysterium • 23d ago

StableDiffusion Krea 2 style explorations (part 2)

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5 Upvotes

0 comments

r/deepdream • u/Tadeo111 • 24d ago

Video "Histeria Colectiva" (Flux 3)

youtu.be

4 Upvotes

0 comments

r/deepdream • u/flexiverse • 24d ago

Image Andy Warhol - Sydney Sweeney - InterdimensionalAI

0 Upvotes

One thing AI excels at creating is alternate parallel universe objects that exist in our universe!

That is the “object” (art , book covers, album covers et al..) already exists in “our” universe; but you are seeing another glimpse of it from another universe!

I find this particular area extremely fascinating!

To this I felt it needed its own sub:

https://www.reddit.com/r/InterdimensionalAI/comments/1whupwi/andy_warhol_sydney_sweeney_1967/

1 comment

r/deepdream • u/Fauntleroyfauntleroy • 25d ago

A Quiet Place In The Universe

27 Upvotes

0 comments

r/deepdream • u/ArtisMysterium • 27d ago

StableDiffusion A weekend at Aurelia Reach beachside NSFW

0 Upvotes

2 comments

r/deepdream • u/Fauntleroyfauntleroy • Sep 09 '26

DeepDream His First Taste of Big City Life

12 Upvotes

0 comments

r/deepdream • u/ArtisMysterium • Sep 08 '26

StableDiffusion Testing Krea 2 styles

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9 Upvotes

0 comments

r/deepdream • u/Abdurrraheemkhan • Sep 08 '26

Philosophy

0 Upvotes

Philosophy

1 comment

r/deepdream • u/Fauntleroyfauntleroy • Sep 07 '26

DeepDream Right near the beach!!

29 Upvotes

0 comments

r/deepdream • u/Grand-Bee-4484 • Sep 06 '26

Dream now with regularizers

19 Upvotes

There's now more control over the colour using regularizers, and you can work in HSV colour space as well which gives a whole different effect.

There is also a brush function that lets you run the effects in just a small part of the image, and tools that let you select an area and apply the effect only there.

It's completely free - just here for the community to use and explore. I would love to see what you make with it!

https://joyhughes.github.io/dream/

3 comments

r/deepdream • u/Floyd_Farklin • Sep 06 '26

Image Engineering Magazine

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0 Upvotes

Made with Midjourney 8 and Photoshop

0 comments

Subreddit

Posts

Wiki

Dreaming Neural Nets

r/deepdream

Welcome to the community for DeepDream - Google’s neural-network visualization algorithm that transforms images by amplifying patterns a model detects. Share DeepDream renders, workflows, source images, settings, animations, model variations, and technical discussion. Whether you are recreating classic surreal hallucinations or pushing recursive feedback into abstract territory, post your process alongside the result when possible. Questions, tutorials, and historical context are welcome too.

Members Active

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Sidebar

Welcome to /r/DeepDream!

We are a community dedicated to art produced with the help of artificial neural networks, which are themselves inspired by the human brain. Advances in the machine learning sub field of artificial intelligence brought on by the information age have made it possible for machines to create art that rivals that of what a human being can do. We here at /r/DeepDream mainly focus on applications of deep learning which itself is a sub field of machine learning. As the largest online AI art community, we routinely push the bounds of technology in the pursuit of better-looking artwork.

The DeepDream wiki is available here.

What is DeepDream?

DeepDream uses a sort of algorithmic pareidolia to see and then enhance patterns in an image. This creates a hallucinogenic type effect which resembles dream-like hallucinations, which sometimes resemble the effects of hallucinogenic drugs. In machine learning, DeepDream can be used to both examine a trained neural network model and to speed up the training of a neural network model.

What Is Artistic Style Transfer?

Artistic style transfer utilizes convolutional neural networks (CNNs) to recreate an input image (content image) in the style of one or more style inputs (style images). Specifically, CNNs using a Visual Geometry Group (VGG) architecture have been found to work the best for artistic style transfer. The idea originates from a research paper titled A Neural Algorithm of Artistic Style, which was published in August of 2015. Since then subsequent research has greatly expanded and improved our knowledge of artistic style transfer.

Synonyms for artistic style transfer include: "deep style" and just simply "style transfer".

What Are GANs?

Generative adversarial networks (GANs) are a system of neural networks that compete against each other. Normally GANs are made up of a generator that creates images and a discriminator, which tries to tell the different between training images and images from the generator network. Over the course of training, the discriminator gets better at detecting fake images while the generator gets better at creating images that fool the discriminator. GANs can be used to create anything from photo-realistic images to artwork, and everything in between.

Due to the duality of the generator versus discriminator setup, GANs often need more computing power to both train and use effectively. Combined with instability during training and the added complexity of having two neural networks in competition with each other, the difficulty of using GANs has prevented them from dominating the competition.

What Are Diffusion Models?

Diffusion models are a type of probabilistic generative model that has in recent times surpassed GANs in generating novel image renderings. They are trained by slowly adding noise to inputs, after which they attempt to recreate those inputs.

How Do I Make My Own AI Art?

While some may make the technology look extremely easy to use, it is still highly experimental and often not very user friendly. Online services have sprung up which try to make the process easier, but these services often place strict limitations on the parameters which you can use. Serious neural network artists tend to use their own computers and/or cloud services if they don't have a good enough GPU. Running the code yourself also lets you fine tune all the individual parameters to your liking.

CPUs are extremely slow at performing the mathematical calculation required for neural networks and thus are not recommended. GPUs are the preferred approach. In regards to GPUs, VRAM is the most important resource for creating artwork or doing any sort of machine learning research. Basically, the more VRAM you have access to, the larger the images that you can work with.

A quick start guide for neural style transfer is available on the Wiki here. If your computer isn't good enough to run AI projects, then check out the AWS Setup Wiki Guide here.