Hippie Trail

something another

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: something another
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

in mexico there's a christmas beer

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: in mexico there's a christmas beer called Noche Buena
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

when you want to be serendipitous

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: when you want to be serendipitous
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

when you want to be serendipitous

• Model: Artistic 2

• Size: 1528 X 672 (1.03 MP)

• Used settings:

  • Prompt: when you want to be serendipitous
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

when you want to be serendipitous

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: when you want to be serendipitous
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

when you want to be serendipitous

• Model: Artistic 2

• Size: 896 X 704 (0.63 MP)

• Used settings:

  • Prompt: when you want to be serendipitous
  • Upscale & Enhance: 0
  • Aspect Ratio: landscape

It's not kitschy at all

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: It's not kitschy at all, it's considered rather tasteful in rural Mexico.
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

it's considered rather tasteful in rural Mexico

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: It's not kitschy at all, it's considered rather tasteful in rural Mexico.
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

self portrait on a wall in Mexico

• Model: Artistic 2

• Size: 1528 X 672 (1.03 MP)

• Used settings:

  • Prompt: self portrait on a wall in Mexico
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

street art in Mexico

• Model: Artistic 2

• Size: 1528 X 672 (1.03 MP)

• Used settings:

  • Prompt: street art in Mexico
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

it's considered very tasteful in rural Mexico

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: It's not tacky at all, it's considered very tasteful in rural Mexico.
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

hitchhiking in the back of a pickup in Mexico

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: when i was hitchhiking in the back of a pickup truck in Mexico
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

Tinygrad, developed by George Hotz (geohot)

• Model: Artistic 2

• Size: 896 X 704 (0.63 MP)

• Used settings:

  • Prompt: Tinygrad, developed by George Hotz (geohot), is a streamlined autograd library inspired by Micrograd. It aims to provide a simple and powerful solution for implementing deep learning models. Tinygrad is designed to be hardware-agnostic and supports both inference and training. It offers a similar API to PyTorch but with a simpler and more refined approach. Despite its simplicity, Tinygrad supports full forward and backward passes with autodiff, making it suitable for various machine learning projects .
  • Upscale & Enhance: 0
  • Aspect Ratio: landscape

Micrograd, created by Andrej Karpathy

• Model: Artistic 2

• Size: 896 X 704 (0.63 MP)

• Used settings:

  • Prompt: Micrograd, created by Andrej Karpathy, is an ultra-minimal autograd library with only 100 lines of Python code. It aims to demonstrate the inner workings of deep learning with simplicity and elegance. Micrograd decorates functions and traces operations to compute gradients, providing a foundation for understanding autograd and its role in deep learning.
  • Upscale & Enhance: 0
  • Aspect Ratio: landscape

The category of autograd libraries

• Model: Artistic 2

• Size: 896 X 704 (0.63 MP)

• Used settings:

  • Prompt: The category of autograd libraries that includes Tinygrad and Micrograd is focused on providing a simple and minimalistic implementation of automatic differentiation (autograd) for deep learning models. Autograd is a technique that allows the computation of gradients automatically, which is crucial for training neural networks using techniques like backpropagation.
  • Upscale & Enhance: 0
  • Aspect Ratio: landscape

I can realte to that

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: I can realte to that
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

I can realte to that

• Model: Artistic 2

• Size: 1240 X 824 (1.02 MP)

• Used settings:

  • Prompt: I can realte to that
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

I can realte to that

• Model: Artistic 2

• Size: 1168 X 880 (1.03 MP)

• Used settings:

  • Prompt: I can realte to that
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0

I can realte to that

• Model: Artistic 2

• Size: 896 X 704 (0.63 MP)

• Used settings:

  • Prompt: I can realte to that
  • Upscale & Enhance: 0
  • Aspect Ratio: landscape

Fred Flintstone on the dancefloor with lifesavers

• Model: Artistic 2

• Size: 1168 X 880 (1.03 MP)

• Used settings:

  • Prompt: Fred Flintstone on the dancefloor with two Bondi lifesavers
  • Using base image: Yes (Effect strength - 60%)
  • Base image resolution: Default
  • Upscale & Enhance: 0