Prompt to image
Describe the subject, composition, materials, lighting, and mood in natural language.
What an AI image generator can do
Modern image models can create new scenes, follow detailed instructions, render text with varying reliability, and transform visual references. They are useful for exploration, concept development, illustration, visual storytelling, and creating source frames for video.
Mosaify gives those generations project context. Instead of downloading every result and reconstructing the reasoning later, you can keep the prompt, references, chosen outputs, and subsequent motion work connected.
Build a prompt around visible decisions
Describe what a viewer should be able to see. Specify the subject, environment, composition, perspective, lighting, palette, materials, and level of realism. If the image needs words, quote the exact text and keep the layout instruction simple.
Use a visual reference when a name or adjective would be ambiguous. References are especially useful for recurring characters, object proportions, surface details, and a consistent visual language across several images.
- Subject and action
- Composition and camera perspective
- Lighting and color palette
- Materials and texture
- Exact text when typography matters
Compare image models deliberately
GPT Image, FLUX, Nano Banana, and Seedream each have different strengths, variants, and response patterns. Compare them using the same core prompt, then refine the strongest result instead of changing every variable at once.
If the final goal is motion, consider the frame as part of a sequence. Leave visual space for movement, choose a usable aspect ratio, and preserve the image as a reference for the video model.
