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About Prompt Image
Prompt Image is an AI image and video studio that turns text prompts or reference photos into polished images. It brings image models such as Nano Banana, Flux and Seedream together with video models including Veo 3, Kling, Wan and Seedance in one creative workspace. A prompt library of real image prompts (product shots, portraits, ads) lets you borrow a structure and send any card straight into the generator, which makes it handy for product visuals and social content.
Updated 10/6/2026
Key Features
- AI image generation from text prompts or reference photos
- AI video generation (Veo 3, Kling, Wan, Seedance models)
- Prompt library of real image prompts (product shots, portraits, ads) for borrowing structure
- Multiple AI image models: Nano Banana series, Flux, Seedream, GPT Image variants
- One creative workspace for both image and video generation
- Free credits: 100 signup + 440 over 7 check-ins (540 total first-cycle)
- No credit card required to start
- Failed jobs refund credits automatically
- History tracking to revisit and compare generations
- Commercial usage allowed with appropriate licensing
Pricing Structure
- Free — $0 — 100 signup credits + 440 credits over 7 check-ins
- Starter — $8.30/month ($100 yearly) — 10,000 credits, 3,333 images
- Pro — $25.00/month ($300 yearly) — 32,000 credits, 16,000 images
- Unlimited — $75.00/month ($900 yearly) — Unlimited standard model generations
Why People Use It
Marketers, designers, and content creators choose Prompt Image to transform text prompts and reference photos into professional-quality AI images and videos. The platform stands out with its prompt library of real-world examples (product shots, portraits, ads) that provide strong starting points for creative projects. With multiple state-of-the-art AI models in one workspace, generous free credits to begin, and transparent pricing plans, Prompt Image accommodates both experimentation and professional workflows. Features like automatic credit refunds for failed jobs and history tracking make it particularly reliable for iterative creative processes.