#dmt

Ayuhuasca Trip

• Model: Artistic

• Size: 896 X 704 (0.63 MP)

• Used settings:

  • Prompt: Ayuhuasca molecular model, multi-colored with psychedelic rain forest background with sunlight streaming through the treetops
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: landscape

the Journey There

• Model: Artistic

• Size: 896 X 704 (0.63 MP)

• Used settings:

  • Prompt: DMT the spirit molecule taking us on a journey to the space between spaces
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: landscape

NFT worth 100 Billion Bitcoin

• Model: Stable

• Size: 1449 X 1449 (2.10 MP)

• Used settings:

  • Prompt: beautiful woman in garden with blonde tresses:: insanely detailed and intricate red dress with gold trimmings:: colourful, intricate, hyperrealism, delicate, high definition, detailed, complex, triadic vibrant colour, by Tom Bagshaw, Asher Brown Durand, Anna Dittmann, Dan Mumford, Magali Villeneuve, Christoper Lovell trending on Artstation digital painting elegant fantasy 8k rose tones award winning crisp quality hdr
  • Using base image: Yes (Effect strength - 30%)
  • Base image resolution: Default
  • Face enhance: No
  • Upscale & Enhance: 2
  • Aspect Ratio: square

Unknown Dream Location 3

• Model: Artistic

• Size: 1643 X 1278 (2.10 MP)

• Used settings:

  • Prompt: astral creatures never seen before
  • Face enhance: No
  • Upscale & Enhance: 2
  • Aspect Ratio: landscape

Ship in a Bottle

• Model: Artistic

• Size: 1643 X 1278 (2.10 MP)

• Used settings:

  • Prompt: ship in a bottle
  • Face enhance: No
  • Upscale & Enhance: 2
  • Aspect Ratio: landscape

Glass Dream

• Model: Artistic

• Size: 1247 X 1684 (2.10 MP)

• Used settings:

  • Prompt: Chaos and Evil
  • Using base image: Yes (Effect strength - 90%)
  • Base image resolution: Default
  • Face enhance: Yes
  • Upscale & Enhance: 2
  • Aspect Ratio: portrait

Portal

• Model: Stable

• Size: 1449 X 1449 (2.10 MP)

• Used settings:

  • Prompt: A beautiful, highly detailed, temple, adorned with beautiful statues, and magical symbols, by Android Jones.
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Face enhance: Yes
  • Upscale & Enhance: 2
  • Aspect Ratio: landscape

The Trees of Paradise

• Model: Artistic

• Size: 768 X 768 (0.59 MP)

• Used settings:

  • Prompt: biomorphic trees, colorful landscape, ocean waves, desert, with beams of light coming down from the sky
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: square

Flying Mushrooms

• Model:

• Size: 874 X 687 (0.60 MP)

• Level:

  • 0

• Used settings:

  • Enhance: Medium
  • Resolution: 0.6MP
  • Inception Depth: Fathomless
  • Layer: 2

Dream Child

• Model: Artistic

• Size: 768 X 768 (0.59 MP)

• Used settings:

  • Prompt: What if Deep Dream Generator and ChatGPT had a baby? DeepDream and ChatGPT are two distinct AI models developed by different companies and for different purposes. DeepDream is a computer vision program created by Google that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating new images based on the trained data. On the other hand, GPT-3 is a language model that generate text based on the input it receives. A "baby" model combining the features of both DeepDream and GPT-3 would likely be a model that could generate new images based on text input and descriptions. This model would likely be able to understand and interpret natural language descriptions of images, and then generate new images that match those descriptions. However, such a model does not exist yet, and creating it would require a significant amount of research and development, as well as large amounts of data and computational resources.
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: square

Spirit Molecule

• Model: AIVision

• Size: 2958 X 1690 (5.00 MP)

• Used settings:

  • Prompt: N,N-Dimethyltryptamine
  • Face enhance: Yes
  • Upscale & Enhance: 5
  • Aspect Ratio: landscape

Dream Child

• Model: Artistic

• Size: 768 X 768 (0.59 MP)

• Used settings:

  • Prompt: biomorphic android cyborg butterfly child, portrait, close up, hyperdetailed, Daniel Merriam, Naoto Hattori, Peter Gric, Victo Ngai, Salvador Dali, John Bell, Audrey Flack
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: square

Frogs

• Model: Artistic

• Size: 768 X 768 (0.59 MP)

• Used settings:

  • Prompt: Google Dream, Deep Dream Image, Deep Dream Generator, silly frogs, lizards, ghost images, cats, and dogs, hidden images, trippy, layers, neural nets, frogs, lizards, of original landscape, fathomless
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: square

Dream Chicken

• Model: Artistic

• Size: 768 X 768 (0.59 MP)

• Used settings:

  • Prompt: chickenman with a fungus on his head in the world of microbes
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: square

Tonight

• Model: Quantum (v2)*

• Size: 1187 X 883 (1.05 MP)

• Used settings:

  • Prompt: Gateway to reality
  • Using base image: Yes (Effect strength - 80%)
  • Base image resolution: Default
  • Face enhance: No
  • Upscale & Enhance: 1
  • Aspect Ratio: landscape

What if Deep Dream and Chat GPT had a baby?

• Model: Fusion*

• Size: 768 X 768 (0.59 MP)

• Used settings:

  • Prompt: What if Deep Dream Generator and ChatGPT had a baby? DeepDream and ChatGPT are two distinct AI models developed by different companies and for different purposes. DeepDream is a computer vision program created by Google that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating new images based on the trained data. On the other hand, GPT-3 is a language model that generate text based on the input it receives. A "baby" model combining the features of both DeepDream and GPT-3 would likely be a model that could generate new images based on text input and descriptions. This model would likely be able to understand and interpret natural language descriptions of images, and then generate new images that match those descriptions. However, such a model does not exist yet, and creating it would require a significant amount of research and development, as well as large amounts of data and computational resources.
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: square