Overview
Scenario includes two lightweight image models powered by Pruna technology:
P-Image — a text-to-image model available in Image Generation (https://app.scenario.com/images/new)
P-Image Edit — an edit-with-prompts model available in Edit with Prompts (https://app.scenario.com/edit-with-prompts)
Both models are designed for fast, low-cost image generation and simple text-driven edits. They provide an efficient alternative to larger multimodal models while maintaining practical quality for everyday creative tasks.
About Pruna
Pruna is a model-optimization framework focused on producing small, fast, and inexpensive AI models.
It uses techniques such as pruning, compression, and quantization to reduce model size and inference cost while preserving useful visual quality.
Within Scenario, Pruna’s models allow:
Lower computational cost
Reduced latency (a few seconds per generation)
Consistent outputs for straightforward prompts
Pruna models do not aim to replace larger reasoning-oriented systems. Instead, they offer an efficient path for fast iteration and high-volume creative workflows.
P-Image (Image Gen)
P-Image is the Pruna text-to-image model integrated directly into Image Gen.
Capabilities
Generates an image from a natural-language prompt
Responds well to short, direct descriptions
Produces results typically in a few seconds
Suitable for simple and moderately detailed scenes
P-Image is great for quick concept sketches, producing images rapidly from short prompts. It is also suited to creating variations and supporting fast exploration during early ideation. Because of its low cost, it fits high-volume workflows where many iterations are needed. Overall, it is best used for tasks where detailed reasoning is not required and clear, simple instructions are sufficient.
P-Image Edit (Edit with Prompts)
P-Image Edit is the editing counterpart of P-Image and appears under Edit with Prompts.
Capabilities
Edits an existing image based on a text instruction
Supports localized changes (“add…”, “remove…”, “change background…”)
Returns results in seconds, enabling fast iteration
Works best for straightforward, well-defined edits
P-Image Edit is well suited for adjusting small details within an image, making it effective for quick, targeted refinements. It works reliably for modifying colors, materials, and backgrounds, especially when the instructions are direct. It is also useful for preparing quick variations of an existing asset when rapid iteration is needed.
Cost Efficiency
Pruna AI models are among the most cost-effective options available in Scenario.
2 credits per generation
≈ 1.6 cents for the “Max” Plan
≈ 1.4 cents for the “Enterprise” Plan
Roughly 10× cheaper than models such as Gemini 3.0 for comparable simple tasks
Performance
P-Image and P-Image Edit are optimized for speed:
Typical output: a few seconds
Around 10× faster than heavier models such as Nano Pro (≈20 seconds)
The speed difference is especially useful when iterating prompts, refining compositions, or reviewing multiple directions rapidly.
Capabilities and Limitations
Strengths
Very fast generation and editing
Low credit cost
Good output quality for simple to moderately detailed prompts
Reliable for clear, unambiguous instructions
P-Image models may not match the visual fidelity achieved by large-scale multimodal systems, and they tend to handle highly complex or reasoning-heavy instructions less effectively. Their ability to render text within images is more limited, and they can be less robust when dealing with abstract narratives or multi-step conceptual instructions. For best results, use concise prompts and avoid tasks that require intricate semantic understanding.
Choosing the Right Model
Scenario supports multiple image and multimodal models, each suited to different tasks. P-Image and P-Image Edit are appropriate when speed matters more than complexity, when you are iterating quickly, when cost efficiency is important, or when the prompt or edit is simple and well defined.
Larger models are preferable when you need detailed reasoning or narrative interpretation, when the scene involves complex interactions, logic, or text rendering, or when higher visual fidelity or stylistic nuance is required. Choosing the model according to the task leads to faster iteration and more efficient use of resources.
Summary
P-Image (Image Gen) and P-Image Edit (Edit with Prompts) are Scenario’s fast, low-cost models built with Pruna optimization.
They provide strong performance for simple prompts and direct edits.
They are significantly more affordable and much faster than heavier multimodal systems.
For highly complex creative or reasoning-intensive tasks, larger models may be more suitable.
Selecting the right model per use case helps balance quality, speed, and cost—central to efficient AI-assisted creation.
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