Prompt: A watercolor painting uses the wet-on-wet technique, more water than paint. It depicts a snow-covered tree with a few little crows perched proudly on a branch, and a snowy backdrop filled with large snowflakes, an effect resembling slightly neon line art is applied over the snowflakes, creating a dreamy winter atmosphere The color palette includes white, blue, purple, and beige.
Prompt: Vibrant abstract masterpiece on rough canvas, acrylic colors and pigment ink, depicts a rainy night city street. Blurred lights, multicolored glare, splashes of color, featuring an old red Volkswagen bug and a young woman with a red umbrella. Abstract art with quick, rough strokes, paint drips, textured impasto technique. Colorful, stunningly beautiful, and unique. Influenced by Arielle Austin, Jeffrey Tover, and Max de Winter.
Prompt: An old weary european man plowing a field following a tired old horse. gray sky, clouds, light rain. the man is poorly dressed in a manner of 19 century. the man presses the handle of the plow.
Prompt: Create an image of an ancient garden set against a backdrop of aged trees with twisted trunks and larges branches. The garden is somewhat overgrown. A wide, crumbling pathway meanders through the garden. Red poppies are scattered among the other flowers. A beautiful woman stands on the path. Her dress is made of (peacock feathers:1.2) in (vivid shades of blue, gold, and gray). Her clothing is intricate. She holds a vodka martini in one hand. Set the time of day to coincide with the golden hour. Add soft diffuse light rays.
Prompt: by Daniel Gerhartz, delicate sky, on right side = delicate sea, brown short hair with bangs, watercolor, beach with tall grass and flower, backdrop on left side = landscape
Prompt: 3D opened book with 3D dragons on it's pages: highly detailed intricate digital illustration by Giger, Richard Anderson, a masterpiece, 8k resolution, trending on artstation.
Prompt: a semi-abstract oil painting of of lines based on many small waves on a large lake with the silouette of a ship, with water reflecting diffferent colors, using black outlines and high contrast, by Gustav Klimt, Claude Monet
Prompt: Imaginative and visually enchanting artwork titled "Winter's Tea" combines the charm of a snowy winter landscape with the elegance of fine china.
A luxurious porcelain teacup sits atop a saucer, adorned with intricate gold embellishments and winter-themed artwork.
The exterior of the teacup features a night sky motif with delicate stars and swirling patterns, complementing the frosty atmosphere.
Inside the teacup, a magical snowy world emerges.
Tall, frozen evergreen trees with snow-laden branches add depth and texture to the landscape.
Cozy cabins with warm, glowing windows exude an inviting charm, contrasting the cold, snowy environment.
Diminutive figures can be seen walking or engaging in winter activities, enhancing the scene's liveliness.
The teacup appears filled with a soft, powdery snow that seamlessly merges with the snowy setting outside the cup.
The surrounding saucer is dusted with snow and decorated with tiny, sparkling stars, echoing the magical theme.
A serene winter backdrop features softly falling snowflakes against a blurred forest of tall, snow-covered pines.
The cool tones of blue and white dominate, creating a tranquil and frosty ambiance.
Soft, glowing light emanates from the miniature houses and reflects off the golden accents of the teacup, adding warmth to the chilly scene.
The subtle twinkle of snowflakes and stars enhances the magical, fairytale-like atmosphere.
The scene evokes a sense of comfort and wonder, capturing the enchantment of winter.
The surreal idea of a winter village within a teacup blurs the line between imagination and reality.
The intricate craftsmanship of the teacup and the finely detailed miniature scene reflect the beauty of delicate artistry.
This image is a delightful representation of creativity, perfectly encapsulating the warmth and magic of winter within a small, whimsical world. It invites viewers to pause and immerse themselves in a serene, fantastical moment.
Prompt: Visualize a fantastical tree that combines ancient charm with modern, futuristic elements, standing in the midst of a lush garden filled with Verbascum densiflorum, Rubus chamaemorus flowers, and vibrant Orange lilies (Lilium bulbiferum). This enchanting tree is surrounded by an array of old houses, each integrating historical and creative architectural styles. The sky is alive with whimsical elements such as hot air balloons, soap bubbles, flying ships, airplanes, and airships, set against a backdrop of deep, multi-layered clouds. The background features serene greenery, lakes, and mountains, captured with a shallow depth of field to keep the focus on the flowers.
The scene is enhanced by the artistic techniques of Aaron Horkey and Aubrey Beardsley, Yayoi Kusama's fluid acrylic dutch pour paintings, and golden voronoi foam overlays. The composition is rich with dynamic lighting, splash art, golden splatters, and a metallic bronze patina, creating a multi-layered, high-contrast narrative. The background evolves through abstract, geometric shapes, and ornate elements, forming a hypermaximalist dreamscape of vibrant abstract art with swirling waves and dynamic color blends
Prompt: The ability of an AI model to process and understand long, complex prompts, giving equal weight to all parts, is often associated with the following concepts:
1. Long-Context Understanding:
Context Window: This refers to the amount of text the model can process at once. Larger context windows enable the model to consider more information from the prompt, leading to more comprehensive understanding.
Attention Mechanisms: These mechanisms allow the model to focus on the most relevant parts of the prompt, even when it's long and complex.
2. Enhanced Model Architectures:
Transformer-based Models: Models like GPT-4, which are based on the transformer architecture, are particularly adept at handling long-range dependencies and complex relationships within the text.
3. Advanced Training Techniques:
Large-Scale Training: Training the model on massive datasets exposes it to a diverse range of prompts and responses, improving its ability to handle complex inputs.
Fine-tuning: This involves training the model on specific tasks or datasets, allowing it to specialize in certain types of prompts and responses.
It's important to note that the specific techniques and capabilities that enable a model to process long, complex prompts can vary depending on the model's architecture, training data, and the specific implementation. However, the general principles of long-context understanding, advanced model architectures, and effective training techniques are key to achieving this capability.
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.