How to Create AI Art: Beginner's Guide

What AI art actually is

AI art refers to images generated by neural networks from text prompts or reference images. It does not include hand-drawn illustrations or traditional photo editing.

How the models work under the hood

Flixly routes requests to specific frontier models. GPT-Image 2.0 processes a text prompt through a diffusion pipeline that starts from noise and refines it over 50 steps. FLUX Kontext adds context-aware attention layers that preserve fine details such as fabric textures at 1024x1024 resolution.

Seedance 2.0 extends the same pipeline for motion but still begins with a static frame when used for still art. The system charges credits per generation: 8 credits for a 1024x1024 image with GPT-Image 2.0.

Concrete inputs and outputs

Users supply a prompt string up to 500 characters and optional negative prompt. Output files are delivered as PNG at 1024x1024 or 1536x1536 pixels with embedded metadata listing the model version.

Reference images for image-to-image jobs must be under 10 MB and in JPEG or PNG format. Strength values range from 0.3 to 0.8; a value of 0.6 keeps 40 percent of the original structure while altering style.

Real workflows that use these tools

Product teams generate 20 logo concepts in one session via logo generation then refine the winner with image-to-image. Social media managers create 10 thumbnail variations through thumbnail generator and apply ai photo effects for color grading.

Illustrators start with a rough sketch uploaded to image-to-image, set strength to 0.5, and add the prompt "manga style, line art, high contrast" to reach a finished panel in four minutes.

Step-by-step first generation

1. Navigate to the dashboard and select the text-to-image tool.
2. Enter a prompt of 40-80 words describing subject, lighting, and style.
3. Choose GPT-Image 2.0 from the model dropdown.
4. Set width and height to 1024 and generate one preview.
5. If needed, adjust the negative prompt to remove unwanted elements like text artifacts.
6. Download the PNG and upload it to image-to-image for further refinement.
7. Apply a strength of 0.4 and a new style prompt to create variations.
8. Save the final file to your project folder.

Comparison of common settings

FAQ

What prompt length gives the most consistent results with GPT-Image 2.0? Prompts between 60 and 120 tokens produce the fewest artifacts. Shorter prompts lose detail while longer ones dilute focus.

Can I use the same reference image across multiple tools? Yes. Upload once, then send the output to image-to-image, ai avatar, or product mockup without re-uploading.

How long does a typical batch of ten images take? Ten generations with GPT-Image 2.0 finish in under three minutes when queued sequentially.

Where should a complete beginner run their first test? Start directly at the text-to-image page and generate a single 1024x1024 image with a simple subject prompt.