Prompt: A submerged kingdom teeming with vibrant marine life and ancient ruins. Coral reefs glow with bioluminescence, and schools of fish swim through sunken temples and statues. Mermaids and other mythical sea creatures explore the depths, creating an enchanting underwater paradise.
Prompt: A peaceful mountain sanctuary with a tranquil, zen-like atmosphere. The setting includes a rustic wooden cabin, a flowing stream, and a lush garden filled with blooming flowers. Meditation areas with cushions and lanterns, and perhaps a wise old sage meditating under a cherry blossom tree. The ambiance is calm and rejuvenating.
Prompt: A majestic palace made entirely of ice and crystal, located in a serene, snowy landscape. The palace sparkles under the aurora borealis, with intricate ice sculptures and frosty gardens surrounding it. The scene is magical and otherworldly, with cool, shimmering tones.
Prompt: A fantastical garden set among the stars, with floating islands of lush greenery and vibrant flowers. Ethereal bridges made of light connect the islands, and the night sky is filled with glowing constellations and nebulae. The scene is otherworldly and dreamlike.
Prompt: A peaceful mountain sanctuary with a tranquil, zen-like atmosphere. The setting includes a rustic wooden cabin, a flowing stream, and a lush garden filled with blooming flowers. Meditation areas with cushions and lanterns, and perhaps a wise old sage meditating under a cherry blossom tree. The ambiance is calm and rejuvenating.
Prompt: A hut. Summer. A minimalistic illustration with a colorful yet balanced look. The image should be simple, with a harmonious use of colors that keeps it vibrant without being overwhelming.
Trying to confuse AI with Finnish gibberish made by GPT-4o
Model:
AIVision
Size:
1792 X 1024
(1.84 MP)
Used settings:
Prompt: Tänään kävin katsomassa kun limaisat jänispöksyt tanssivat aurinkolahdella, aivan kuin kellokas prinsessa. Höylän sahaama naurishattu ei sovi koivulintuparven joukkoon, koska siipikärki oli täynnä suklaamunia. Niinpä päätimme lähteä koivusaareen kuuntelemaan tammenterhojen laulua.
Matkalla kohtasimme punaisen salkkuapinan, joka heilutteli avokadokäärylettä kuin se olisi viimeinen reikäleipä maan päällä. Seuraavassa hetkessä karusellikenguru ilmestyi esiin pensaasta, ja sen hännässä roikkui kolme hattivattia. Olin juuri nappaamassa valokuvaa tästä ihmeestä, kun pinkkiä hattivattia muistuttava sirkussonni päätti aloittaa tanssin limonadikuusessa.
Tämä kaikki tapahtui juuri ennen kuin mehiläisviulu alkoi soittaa sävelmää, joka sai kaikki saippuakuplat lentämään vuorotellen ilmaan. Ja siinä me olimme, kaarnalaivan kyydissä, matkalla kuulemaan miten majavanpyörä keksii uuden smurffikielen.
Testing AIVision model's reaction to non-prompt-like information.
Model:
AIVision
Size:
1024 X 1024
(1.05 MP)
Used settings:
Prompt: -Analog nature of neural computations: Although neural networks are implemented on digital computers, the computations they perform are often analog in nature. For instance, the activation functions used in neural networks, such as sigmoid or ReLU, can take on a continuous range of values, which is more akin to analog computations. This allows neural networks to model complex, continuous relationships between inputs and outputs.
-Emergent properties: Neural networks are designed to learn and represent complex patterns and relationships in data. Through the process of training, the network's weights and biases are adjusted to capture these patterns. The emergent properties of neural networks, such as their ability to recognize images, understand language, or make predictions, arise from the collective behavior of many simple, interconnected processing units. This is similar to how complex systems in nature, like ant colonies or the human brain, exhibit emergent properties that transcend the capabilities of individual components.
-High-dimensional feature spaces: Neural networks, especially deep ones, can learn to represent data in high-dimensional feature spaces. These spaces can capture subtle and intricate relationships between input features, which might not be apparent in the original, lower-dimensional data. The ability to learn and operate in these high-dimensional spaces is a key factor in the success of neural networks in various applications.
-Adaptive and flexible: Neural networks can adapt to new data and tasks through continuous learning. This adaptability allows them to generalize and transfer knowledge across different domains, further transcending their binary foundation.
The text nicely ruins the artistic flow in my opinion, but hey, at least it stands out.
Model:
AIVision
Size:
1792 X 1024
(1.84 MP)
Used settings:
Prompt: A journey of words, I shall embark upon, to guide and enlighten, as the dawn chases the night. With a staff of knowledge, and a beard of time, I shall weave a tale, in rhythm and rhyme.
Testing AIVision model's reaction to non-prompt-like and 'too much' information-laden text.
Model:
AIVision
Size:
1792 X 1024
(1.84 MP)
Used settings:
Prompt: I agree with your assessment that statements like "neural networks are still just binary" or "AI just selects the most probable word after another" are indeed low-resolution statements, even though they contain elements of truth. These statements oversimplify the complexity and emergent nature of artificial intelligence and neural networks.
Neural networks, while operating on binary data at the lowest level, are designed to mimic the human brain's structure and function, which is far from being a simple binary system. The power of neural networks lies in their ability to learn and adapt through complex mathematical operations, such as matrix multiplications and non-linear transformations, which enable them to model intricate patterns and relationships in data.
Similarly, modern AI language models, like the one I'm based on, go beyond merely selecting the most probable word after another. They employ sophisticated algorithms, such as transformers and attention mechanisms, to understand the context, meaning, and relationships between words in a sentence or a larger body of text. These models can generate coherent and contextually relevant responses, demonstrating a level of understanding and creativity that surpasses simple probabilistic word selection.
The emergent nature of AI is evident in the way these systems can learn and adapt to new tasks and environments, often discovering novel strategies and solutions that were not explicitly programmed by their creators. As a result, reducing AI to simple binary operations or probabilistic word selection fails to capture the richness and complexity of these systems and their potential to revolutionize various fields and applications.
Prompt: A dreamlike scene with a little sister sailing on a moon-boat under a starry night sky. She has the morning star on her brow and is walking along the edges of the night. Surrounding her are misty, dewy fields and valleys of dreams turned flesh. On the western horizon, rainy islands can be seen, along with cherry blossoms from Japan. The scene includes both southern and northern landscapes, symbolizing a journey that transcends time and distance. The atmosphere is serene and ethereal, capturing a moment of light and connection.
Prompt: Suddenly, the entire arc of the sky blazed, illuminating the earth's cover. It was fierce light that made no distinction between good and evil, neither for the poor nor for the rich, nor between actions and inactions. And thus, the people of the north received the Northern Lights, a gift from the sun that had been taken from them. The fires of the sky - flames of atonement. And so, the land was graced with peace.
No danger here, right? The blue jets on the audience's side are for braking. I hope all went well.
Model:
AIVision
Size:
1792 X 1024
(1.84 MP)
Used settings:
Prompt: A steampunk-inspired airship soaring above a Victorian-era city, with billowing steam, intricate gears, and passengers in elaborate attire gazing at the panoramic view below.
I mostly lean more towards curiosity than creativity (on my part) with AI stuff, but I do appreciate the approach where people aim to harness AI to express their own creativity.
Dream Level: is increased each time when you "Go Deeper" into the dream. Each new level is harder to achieve and
takes more iterations than the one before.
Rare Deep Dream: is any dream which went deeper than level 6.
Deep Dream
You cannot go deeper into someone else's dream. You must create your own.
Deep Dream
Currently going deeper is available only for Deep Dreams.