Text to Image
Text to image is AI generation where a model creates an original picture from a written description, translating the words in your prompt into composition, subject, lighting and style.
Most text to image models are diffusion models. They start from pure random noise and remove it step by step, and at every step your prompt steers what the emerging image should contain. The final picture is not retrieved or collaged from anywhere; it is synthesized to match the statistical patterns the model learned about how described things look.
The prompt is your main control surface. Concrete nouns, a defined style, lighting and framing all pull the result in a specific direction, while vague prompts fall back to the model's generic defaults. Alongside the prompt, most tools let you set an aspect ratio, pick a model, and sometimes provide a reference image or a negative prompt to exclude unwanted elements.
Model choice changes the look as much as the prompt does. Some models are tuned for photorealism, others for illustration, typography or design work. Running the same prompt through two or three models is often the fastest way to find the right one for a project. Arteza hosts a wide range of image models, including FLUX, Ideogram and Seedream, in a single studio.
Text to image is also the entry point to a larger workflow: a generated still can be edited with inpainting, enlarged with outpainting, sharpened with upscaling, or animated with image to video. Treating the first generation as a draft rather than a final asset is how experienced users get consistent quality.
Frequently asked questions
Does text to image copy existing pictures?
No. The model generates each image from noise, guided by patterns it learned during training. It does not search for or paste together existing photos, although styles it learned can be recognizable.
Why do I get a different image every time with the same prompt?
Generation starts from random noise controlled by a seed number. A different seed means different noise and therefore a different image. Fixing the seed reproduces the same image for the same prompt and settings.
How do I make AI images look less generic?
Be specific about style, lighting, lens and mood, name a clear subject and setting, and iterate. Small prompt changes with a fixed seed let you see exactly what each word contributes.