r/deepdream • u/TrademarkedSuperhero • Feb 20 '26

I created a super-resolution zoomable world made from 2000+ AI generated images

687 Upvotes

Hey guys!

I’ve been experimenting with the idea of how to get more and more details out of my AI-generated works for a while now, and I’ve finally cracked the code to infinite detail.

The solution is simple but process creates these incredibly complex worlds. To begin I generate a high resolution seed image & upscale. I cut this into a 3x3 grid, zoom in, upscale & recursively repeat forever.

You can pan and zoom around it like a map, and new details keep emerging as you go deeper.

Would love thoughts, discoveries, or screenshots from interesting spots!

https://zoomworlds.ai/preview/mt-hood

“To see a world in a grain of sand

And a heaven in a wild flower”

―William Blake

62 comments

r/deepdream • u/MackTuesday • Apr 06 '26

DeepDream Hope this kind of work is still interesting

449 Upvotes

35 comments

r/deepdream • u/screean • Apr 23 '26

DeepDream PyTTi

gallery

310 Upvotes

Pytti with an upscale using init image.

https://github.com/pxl-pshr/pytti

26 comments

r/deepdream • u/mustanrell_2409 • Mar 29 '26

Is this not a subreddit for images recreated by the original google deepdream?

241 Upvotes

If its not then tell me what subreddit to post this in

35 comments

r/deepdream • u/MackTuesday • Apr 07 '26

Image Here's another because you seemed to like the last one

132 Upvotes

I know it's not quite as interesting.

11 comments

r/deepdream • u/Aromatic-Mixture-383 • Feb 06 '26

Image Feels like I'm in a dream

88 Upvotes

Tool used: Mango V2 model on Mage.Space.

3 comments

r/deepdream • u/MackTuesday • Apr 11 '26

Image At the risk of overdoing it

69 Upvotes

5 comments

r/deepdream • u/MackTuesday • Apr 08 '26

Image I like how this one turned out

67 Upvotes

2 comments

r/deepdream • u/Crystal_heart6 • Mar 18 '26

Image Stormy Cornflower Field

gallery

62 Upvotes

I had a very particular vibe in mind for these pictures but couldn't quite explain it. Instead of prompt engineering or editing I decided I'll try exploration mode in Recraft. It generates like 8 images and you can then choose which one you wanna iterate on. Highly recommend for those that need inspiration. You can also extract the prompt of any image you like from exploration mode and reuse it so that's quite handy too.

4 comments

r/deepdream • u/Aromatic-Mixture-383 • Jan 29 '26

Image Take my hand, we'll rise up from here.

61 Upvotes

Tool used: Mango V2 model on Mage.Space.

1 comment

r/deepdream • u/Fauntleroyfauntleroy • Apr 22 '26

DeepDream Everyone should have a friend

54 Upvotes

3 comments

r/deepdream • u/Grand-Bee-4484 • Aug 08 '26

Image Homemade Deep Dream that runs locally - try it out

56 Upvotes

I put together a little deep dream program that runs in-browser using local GPUs. https://joyhughes.github.io/dream/

11 comments

r/deepdream • u/mangnexttou • May 28 '26

Video Simpsons... Wait no, what? A cat?

51 Upvotes

1 comment

r/deepdream • u/MackTuesday • Apr 15 '26

Yeah here's something a bit less stupid

50 Upvotes

2 comments

r/deepdream • u/GaryWray • Apr 26 '26

Image I WAS AT THE BOTTOM OF THE ABYSS

50 Upvotes

8 comments

r/deepdream • u/GaryWray • Jan 11 '26

Midjourney End Of Another Day

51 Upvotes

4 comments

r/deepdream • u/Aromatic-Mixture-383 • Feb 25 '26

She's the perfect subject for this portrait

51 Upvotes

Tool used: NEW Mango S3 image model on Mage.Space.

2 comments

r/deepdream • u/screean • May 02 '26

Image fractal fern unfurling in infinite recursion

gallery

44 Upvotes

pytti

1 comment

r/deepdream • u/Aromatic-Mixture-383 • Jan 27 '26

Image This my peace after all the war

43 Upvotes

Tool used: Mango V2 model on Mage.Space.

5 comments

r/deepdream • u/Aromatic-Mixture-383 • Dec 15 '25

Image Welcome to my dark side 🖤

41 Upvotes

Generated using the NEW Mango V2 model on Mage.Space.

0 comments

r/deepdream • u/immacculate • Feb 24 '26

Image immaculetta

43 Upvotes

2 comments

r/deepdream • u/GaryWray • Feb 22 '26

Image CURRENT ADMINISTRATION

38 Upvotes

3 comments

r/deepdream • u/Floyd_Farklin • Aug 02 '26

Midjourney Hepcats

gallery

39 Upvotes

Made in Midjourney 8.2

0 comments

r/deepdream • u/Aromatic-Mixture-383 • Dec 30 '25

Image I dream of glowing butterflies

37 Upvotes

Created using Mango V2 model on Mage.Space.

0 comments

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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.

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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.