Need the full Vibart workflow?
Open the main Vibart site to compare models, see pricing, and start your project inside the full canvas workflow.
The labels overlap, but the production problem is clear
An AI image generator is generally used to produce a visual from a prompt or reference. An AI image agent suggests a more guided process: it may interpret a brief, choose steps, or help iterate. Either can be valuable. The question for a growth or design team is whether the result can move into a real asset without losing the brief, references, copy, and approval context.
Choose based on the work that follows
Use image generation for visual exploration: product scenes, campaign directions, thumbnails, backgrounds, and concept art. Use an agent-style workflow when a project needs a sequence of decisions: choose a direction, create variants, check against references, and prepare files for several channels.
In both cases, the finish should be editable. Generated pixels are not a reliable place for legal copy, exact prices, logos, or accessibility-critical text.
A simple production loop
1. Put the campaign brief and approved references in a project. 2. Generate three visual directions with different compositions. 3. Choose one using clarity, brand fit, and crop flexibility as the criteria. 4. Add real text, logos, and product details on the canvas. 5. Export only after checking every placement at its native size.
This loop makes the AI tool accountable to the commercial job, rather than treating an appealing image as the end of the process.
FAQ
Q: Do I need an agent for every image?
A: No. A direct generator is often faster for a single exploration. Agentic structure helps when you need repeatability, reviews, or a family of assets.
Q: What should be saved between campaigns?
A: The original brief, approved references, prompt direction, selected output, text hierarchy, and crop rules. Together they become a practical brand memory.
Q: Where does Vibart fit?
A: Vibart provides the canvas where those materials can remain connected from the first generation through final-format variants.