Image Generation | Substrate

An introduction to image generation on Substrate

Prompt: "futuristic city of atlantis"

Enhanced image prompt

A sprawling metropolis of iridescent spires and crystalline towers pierces the sky, its architecture a blend of organic and metallic curves. Towering trees with glowing bark and leaves that shimmer like diamonds stretch towards the clouds, their roots entwined with the city's infrastructure. A network of levitating walkways and glowing, fiber-optic "streets" crisscross the city, weaving through a tapestry of gleaming skyscrapers and futuristic domes. In the distance, a majestic, winged statue of a long-forgotten king soars above the city, its wings beating in slow motion as it surveys the metropolis below.

Generated image

Upscaled image

We'll build a workflow that takes a short prompt ("futuristic city of atlantis"), and uses the imaginative power of generative AI to produce a highly detailed result. We'll:

Generate an enhanced image prompt using ComputeText
Generate an image using GenerateImage
Upscale the image using UpscaleImage

First, initialize Substrate:

Python

TypeScript


from substrate import (
    Substrate,
    ComputeText,
    GenerateImage,
    UpscaleImage,
    sb,
)
s = Substrate(api_key=YOUR_API_KEY)

Declare and connect the nodes of the pipeline:

Generate an enhanced image prompt using ComputeText
Generate an image using GenerateImage
Upscale the image using UpscaleImage

Run the pipeline by calling substrate.run with the terminal node of the workflow, upscale.

Python

TypeScript


prompt = "futuristic city of atlants"
description = ComputeText(
    prompt=f"create a description of an image of {prompt}. we'll use this description to generate an image. be concise and terse focusing on the subject. just return the description, no preamble.",
)
image = GenerateImage(prompt=description.future.text)
upscale = UpscaleImage(
    prompt=description.future.text,
    image_uri=image.future.image_uri,
    output_resolution=2048,
)
res = s.run(upscale)

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