Generating logos with GPT and text-to-image AI models (Stable Diffusion V2, V3, SDXL)

AppBazaAppBaza
2 min read

In this quick tutorial, we will create a no-code AI agent for generating logos using Aiflowly.com.

Workflow

Our AI agent will be able to:

  1. Read short user input for a logo topic.

  2. Pass it to text-to-text AI mode (we will use OpenAI’s GPT models) and generate an advanced prompt for generating an image.

  3. The generated prompt will then be passed to various text-to-image models.

  4. Our no-code AI agent will render the output images after generating all images.

Text-to-image models

For this tutorial, we will use the following text-to-image models:

  1. Stability AI / Stable Diffusion v2

  2. Stability AI / Stable Diffusion v3

  3. Kandinsky 2.2

  4. ByteDance / sdxl-lightning-4step

  5. Stability AI / SDXL

Text-to-text models

We will use OpenAI’s GPT models to generate an advanced text-to-image prompt. Currently, Aiflowly supports the following GPT models:

To improve the output of these models, we will use the following system prompt:

For a given topic, write a detailed text-to-image prompt that will be used by another AI model (text-to-image AI model).

Technically, we can improve this prompt or use a negative one to feed the text-to-image model.

Agent’s no-code flow

Agent’s flow consists of three simple steps:

  1. User input

  2. Text-to-image prompt

  3. Image generation (repeated for each image model)

It looks like the following:

Aiflowly’s flow execution system will run through each node, automatically generate required input and output, and render the result as it progresses.

Conclusion

In this example, we used Aiflowly to generate a simple AI agent and workflow to chain the output of multiple AI models.

We used default AI models and default parameters. It is possible to fine-tune parameters to achieve better results.

You can generate your own AI workflows using Aiflowly.com.


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AppBaza
AppBaza

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