# P Image

> Use when someone wants a fast AI image — product shots, hero visuals, mood boards, or draft photos from a text prompt.

- **Type:** Skill
- **Install:** `agentstack add skill-prunaai-pruna-skills-p-image`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [PrunaAI](https://agentstack.voostack.com/s/prunaai)
- **Installs:** 0
- **Category:** [Content & Media](https://agentstack.voostack.com/c/content-and-media)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [PrunaAI](https://github.com/PrunaAI)
- **Source:** https://github.com/PrunaAI/pruna-skills/tree/main/skills/image/p-image
- **Website:** https://dashboard.pruna.ai

## Install

```sh
agentstack add skill-prunaai-pruna-skills-p-image
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

## Prerequisites

Install and load these skills before generating (skip if already in context via `@pruna`):

| Skill | Description | Install |
| --- | --- | --- |
| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |
| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |
| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |

Or install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`

Follow each skill's **Before generating** / craft sections — do not restate guide content here.

## Agent habit

In the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio. When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.

## Prompt craft (dynamic + faithful)

Every `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.

| Do | Don't |
| --- | --- |
| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |
| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |
| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |
| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording | Silent regen with a different subject than approved |

**Fidelity check (before pay):** if you remove the user’s named subject/product/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.

When showing a drafted prompt, still name `` `p-image` `` (guides help craft; this tool owns the call).

**Pruna note:** `p-image` has **no prompt upsampling** — concrete language is the whole craft. Avoid dense readable typography unless the user explicitly asked for copy on a surface.

## When NOT to use

Use a different skill instead:

| Skill | Description | Install |
| --- | --- | --- |
| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |
| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |

## HTTP (curl)

### Create (async — recommended)

```bash
curl -X POST 'https://api.pruna.ai/v1/predictions' \
  -H 'Content-Type: application/json' \
  -H "apikey: ${PRUNA_API_KEY}" \
  -H 'Model: p-image' \
  -d '{
    "input": {
      "prompt": "Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy",
      "aspect_ratio": "9:16"
    }
  }'
```

Poll and download: follow `pruna-api`.

Complete the random seed ritual from `generation-diversity` before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.

### Create (sync — quick test only)

```bash
curl -X POST 'https://api.pruna.ai/v1/predictions' \
  -H 'Content-Type: application/json' \
  -H "apikey: ${PRUNA_API_KEY}" \
  -H 'Model: p-image' \
  -H 'Try-Sync: true' \
  -d '{"input":{"prompt":"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition","aspect_ratio":"16:9"}}'
```

## Generation flow

Follow `generation-diversity` **still-image prompt flow** every time:

1. **Lock brief** — user subject, product, format, any copy-on-surface.
2. **Ritual seed** — fresh string; derive free axes (camera, lighting, `render_category_tag`, **`aspect_ratio`** when unset).
3. **Draft explicit prompt** — **Prompt craft (dynamic + faithful)** + `image-prompting` golden rules; **fidelity check** before pay.
4. **Confirm** — show `prompt` + `aspect_ratio` unless wording is locked.
5. **POST** — async curl below; poll via `pruna-api`; run `p-image` quality checklist before upscale/video.

**Aspect ratio:** pass `aspect_ratio` in `input`; if output dimensions do not match (e.g. asked `16:9`, got portrait), retry once with explicit `horizontal wide` / `vertical` wording in the prompt.

**Mood board / batch:** new ritual per independent still; different **`aspect_ratio`** per panel when format not locked.

**Hero approved → tweak:** hand off to `p-image-edit` on the hero URL — do not text-to-image re-roll the same subject.

## Required input

- `prompt` (string)

## Common optional fields

- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)
- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`

## Typical next steps

Common follow-ons after this skill:

| Skill | Description | Install |
| --- | --- | --- |
| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |
| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |
| `p-image-upscale` | Use when someone wants to upscale or sharpen an existing image for print, large crops, or higher-quality delivery. | `npx skills add PrunaAI/pruna-skills@p-image-upscale -y` |
| `p-video` | Use when someone wants one short video clip from text or images — B-roll, start/end frame animation, or a quick motion shot. Not for full multi-scene films or lip-synced hosts. | `npx skills add PrunaAI/pruna-skills@p-video -y` |
| `avatar-single-scene` | Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation. | `npx skills add PrunaAI/pruna-skills@avatar-single-scene -y` |
| `avatar-multi-scene` | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | `npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y` |

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [PrunaAI](https://github.com/PrunaAI)
- **Source:** [PrunaAI/pruna-skills](https://github.com/PrunaAI/pruna-skills)
- **License:** Apache-2.0
- **Homepage:** https://dashboard.pruna.ai

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** yes
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-prunaai-pruna-skills-p-image
- Seller: https://agentstack.voostack.com/s/prunaai
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.