Overview
Fibo is a text-to-image model built for situations where a rough prompt is not enough. It converts your written description into a structured internal representation before producing the image, making the relationship between your words and the final output measurably more predictable. On Picasso IA, you run it directly from your browser with no installation. Think of a product designer who needs a consistent visual style across a batch of assets, or a marketer who keeps getting slightly off results from generic generators. Fibo closes that gap by treating intent as a first-class input, not an afterthought.
How It Works
- Write a text prompt describing the image you want, including subject, style, and any details about composition or lighting.
- Optionally upload a reference image to provide visual context alongside your text description.
- Add a negative prompt to exclude elements you do not want appearing in the output.
- Choose an aspect ratio that matches your target format: square, portrait, landscape, or a widescreen ratio.
- Set the guidance scale to control how strictly the model follows your prompt versus how freely it interprets it.
- Hit generate. Fibo converts your description into a structured internal plan and produces the image from that plan, so the result maps closely to what you described.
Frequently Asked Questions
Do I need programming skills or technical knowledge to use this?
No, just open Fibo on Picasso IA, adjust the settings you want, and hit generate.
Is it free to try?
Yes, you can run generations on Picasso IA without a paid plan to start. Credit usage scales with the number of images you generate.
How long does it take to get results?
Most images are ready within a few seconds. Wider aspect ratios or higher guidance scale values may add a small amount of processing time.
What output formats are supported?
Fibo returns high-quality raster images you can download directly. The files are clean and ready to drop into design tools, presentations, or publishing workflows.
Can I reproduce the same image twice?
Yes. Set a fixed seed before generating. Reusing that seed with the same prompt and settings will reproduce the same output, which is useful when you need consistency across a project.
What should I do if the result does not match my prompt?
Try raising the guidance scale to make the model follow your description more closely. You can also add a negative prompt to push out unwanted elements, or reword your main prompt to be more specific about placement and style.
What is the structured prompt input for?
Fibo accepts a structured prompt in JSON format alongside your plain-text description. This lets you reuse or refine the internal representation from a previous generation, giving you tighter control when you need the output to match a specific visual intent across multiple runs.
