Overview
What is P-Image?
P-Image is a Pruna AI model available in Starpop. Sub-second text-to-image generation for fast production drafts. A very fast text-to-image model for visual brainstorming, layout tests, and high-volume draft generation.
Use P-Image at the start of a creative process to discover compositions and visual directions before moving selected ideas into editing or finishing. Starpop keeps model choice, generation mode, aspect ratio, resolution, and credit information together so creative teams can compare drafts and move selected work into production with less setup.
Specifications
Available in Starpop
These values come from Starpop’s live model configuration and can change as providers add or remove capabilities.
- Inputs
- Text
- Aspect ratios
- 1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9
- Output options
- default
- Estimated credits
- 0.25 credits
- Typical generation time
- About 1 seconds
- Developer
- Pruna AI
Best uses
When to choose P-Image
Use P-Image at the start of a creative process to discover compositions and visual directions before moving selected ideas into editing or finishing.
- 01Sub-second visual ideation
- 02Low-cost prompt testing
- 03High-volume social layout exploration
Considerations
Plan the tradeoffs
P-Image is text-to-image only and does not provide an image-editing mode.
Its value is rapid exploration rather than replacing every final-production workflow.
FAQs
Common questions
What is P-Image best used for?
P-Image is particularly useful for sub-second visual ideation, low-cost prompt testing, high-volume social layout exploration. The right choice still depends on the input assets, delivery format, turnaround, and credit budget for the job.
What inputs does P-Image support in Starpop?
P-Image supports text input workflows in Starpop. Available controls are shown in the workspace after the model is selected, so unsupported combinations are not presented as options.
How many credits does P-Image use?
The currently configured estimate is 0.25 credits. The exact amount shown in Starpop follows the selected resolution, format, duration, or quality option, so review the workspace estimate before generating.
Prompt tips
Get a more useful first result
- 1Keep prompts concise enough to compare quickly.
- 2Change one compositional variable per generation.
- 3Use explicit aspect-ratio-aware framing.
- 4Save the strongest prompt before moving to another model.
Similar image models
Compare another approach
Reviewed 2026-07-30 against Starpop configuration and Pruna AI source material.
Developer source