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
Routing: Use `p-image` for simple, quick photo generation from a short prompt. When photo generation needs more control (text in the image, structured JSON with hex/bbox, high-detail photoreal), use `p-image-ideogram` (defaults thinking: high, prompt_upsampling: true; low + prompt_upsampling: false + explicit prompt for a faster pass on the same model). For edits or video, use `p-image-edit` or `p-video-2` — not a new photo generation re-roll.
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 (open intake → generation-diversity clarification intake). 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-ideogram | Use when photo generation needs more control — photoreal results, text in the image, or structured JSON with hex colors and bounding boxes. Simpler photo generation, edits, and video use other skills in the suite. | npx skills add PrunaAI/pruna-skills@p-image-ideogram -y |
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)
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)
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:
- Lock brief — user subject, product, format, any copy-on-surface.
- Ritual seed — fresh string; derive free axes (camera, lighting,
render_category_tag,aspect_ratiowhen unset). - Draft explicit prompt — Prompt craft (dynamic + faithful) +
image-promptinggolden rules; fidelity check before pay. - Confirm — show
prompt+aspect_ratiounless wording is locked. - POST — async curl below; poll via
pruna-api; runp-imagequality 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.
Photo approved → edit: hand off to p-image-edit on the output URL — do not run photo generation again for 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(withwidth/heightmultiples 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-2-pro | Use when someone wants a cinematic clip from text or start/end frames — product ads, documentary shots, or dialogue with generated audio. Not for 1080p, imported audio tracks, or talking-head-only hosts. | npx skills add PrunaAI/pruna-skills@p-video-2-pro -y |
p-video-2 | Use when someone wants a polished short clip from text, images, or imported audio — 1080p B-roll, start/end frame animation, or a motion shot with a mixed track. Not for cinematic generated-audio clips or talking-head-only hosts. | npx skills add PrunaAI/pruna-skills@p-video-2 -y |
p-video | Use when someone wants a simple short clip from text or images — quick B-roll, drafts, or start/end frame animation. Not when the brief needs cinematic generation, highest quality, tight lip-sync, or imported audio at 1080p. | 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 |