PROMPT LIBRARY

AI Prompts for RunAPI models

Browse 1632+ curated prompts for image, video, music, and audio generation. Copy a prompt into Claude Code, Codex, Cursor, Windsurf, or use the API code directly.

CATEGORIES All categories 1980s abstract Abstract and Artistic acid house acoustic soul Afrobeats Afro-trap alternative rock alt-rock amapiano ambience ambient ambient electronic anime opening architecture Architecture and Interior audiobook background-removal Balkan baroque pop bebop bedroom bedroom pop Berlin school bluegrass Bollywood boom bap bossa nova bossa-nova Brazilian phonk build-up camera_motion Celtic folk character-design character_voice chiptune cinematic cinematic boom cinematic piano cinematic R&B cinematic whoosh city-pop cityscape coffee shop comedy commercial dark ambient dark cinematic deep house dialogue digital glitch documentary doom metal double-exposure dream pop drift phonk drone ambient edit electro-pop explainer fantasy fashion Fashion Photography folk food Food & Drink Food Photography forest funk funk-pop game-art garage rock gospel soul gqom gregorian chorale grunge hip-hop horror illustration Illustration & 3D Illustration and 2D Art indie folk indie-pop indie rock indie surf rock infographic jazz-funk K-pop landscape Landscape and Nature lifestyle lo-fi lo-fi hip-hop lo-fi jazz logo Logo and Brand Design macro math rock mechanical meditation melodic house melodic trap Memphis phonk metalcore Minimalist and Modern minimal techno modern country modern pop modern R&B multilingual narration nature neo-soul notification orchestral outro parameterized metatags pentatonic scale Photography podcast pop pop ballad portrait Portrait Photography Poster and Graphic Design Poster Design post-punk post-rock product Product & Brand product_demo Product Photography progressive house psychedelic funk psychedelic rock R&B reggae reggaeton remix rnb Scandinavian folk sci-fi Sci-Fi and Concept Art shoegaze slow R&B social-media soul-gospel sound-effect Sufi synth-pop synthwave timelapse trap tropical house typography UI & Graphic ui-mockup UI/UX Mockups UK drill upscale urban vaporwave verse-chorus structure vintage Vintage and Retro vocal jazz warehouse techno worship

IM

Image edit

edit gpt-image-2

Add seasonal decoration to storefront

Add festive winter holiday decorations to this storefront. Wrap warm white string lights around the window frame and door frame. Place a small evergreen wreath with a red ribbon on the door. Add a light dusting of snow on the window ledge and awning. Keep the existing signage and architecture completely unchanged. The additions should look naturally integrated with realistic lighting — the string lights should cast a soft warm glow on nearby surfaces.

/api/v1/gpt_image_2/text_to_image

View API Code

curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "gpt-image-2",
  "prompt": "Add festive winter holiday decorations to this storefront. Wrap warm white string lights around the window frame and door frame. Place a small evergreen wreath with a red ribbon on the door. Add a light dusting of snow on the window ledge and awning. Keep the existing signage and architecture completely unchanged. The additions should look naturally integrated with realistic lighting — the string lights should cast a soft warm glow on nearby surfaces."
}
JSON

IM

Image edit

edit qwen-2-edit-image

Change season from summer to autumn

Transform the season in this landscape photograph from summer to mid-autumn. Change green foliage to a mix of golden yellow, burnt orange, and deep red while keeping evergreen trees unchanged. Add fallen leaves scattered on paths and grass. Shift the overall lighting to warmer golden-hour tones with longer shadows suggesting a lower sun angle. Make the sky slightly more muted with higher, thinner clouds. Keep all structures, water features, and human-made elements exactly as they are.

/api/v1/qwen_2/text_to_image

View API Code

curl -X POST https://runapi.ai/api/v1/qwen_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "qwen-2-edit-image",
  "prompt": "Transform the season in this landscape photograph from summer to mid-autumn. Change green foliage to a mix of golden yellow, burnt orange, and deep red while keeping evergreen trees unchanged. Add fallen leaves scattered on paths and grass. Shift the overall lighting to warmer golden-hour tones with longer shadows suggesting a lower sun angle. Make the sky slightly more muted with higher, thinner clouds. Keep all structures, water features, and human-made elements exactly as they are."
}
JSON

FAQ

Finding and using RunAPI prompts

What are RunAPI prompts?

RunAPI prompts are curated input examples for image, video, music, and audio models. Each prompt is paired with the model slug and endpoint path so developers can copy the text into an agent or reuse it in backend calls.

Can I filter prompts by model or category?

Yes. Use the modality and category links to narrow the library, then open a model page for examples tied to one specific model slug. Each model page keeps the prompt cards, install steps, and API examples together.

Do I need an API key to browse prompts?

No. Browsing, filtering, and copying prompt text is public. You only need a RunAPI key when you ask an agent or your application to call a model and create a generation task.

How should agents use these prompts?

Install the RunAPI MCP Server in Claude Code, Codex, Cursor, or Windsurf, then paste the prompt instruction shown on the page. The agent can choose the matching RunAPI tool and send the prompt with the listed model.