PROMPT 库

RunAPI 模型 Prompt 示例

浏览 1632+ 个精选图像、视频、音乐和音频生成 prompts。复制到 Claude Code、Codex、Cursor、Windsurf,或直接使用 API 代码。

分类 全部分类 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
VI
视频
nature

Several giant wooly mammoths approach treading through a sno...

Several giant wooly mammoths approach treading through a snowy meadow, their long wooly fur lightly blows in the wind as they walk, snow covered trees and dramatic snow capped mountains in the distance, mid afternoon light with wispy clouds and a sun high in the distance creates a warm glow, the low camera view is stunning capturing the large furry mammal with beautiful photography, depth of field.

查看 API 代码
curl -X POST https://runapi.ai/api/v1/runapi/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "prompt": "Several giant wooly mammoths approach treading through a snowy meadow, their long wooly fur lightly blows in the wind as they walk, snow covered trees and dramatic snow capped mountains in the distance, mid afternoon light with wispy clouds and a sun high in the distance creates a warm glow, the low camera view is stunning capturing the large furry mammal with beautiful photography, depth of field."
}
JSON
VI
视频
nature

Wide shot of a lone tree in a meadow. A seamless time-lapse...

Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos.

查看 API 代码
curl -X POST https://runapi.ai/api/v1/runapi/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "prompt": "Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos."
}
JSON
VI
视频
nature runway

A glowing ocean at night time with bioluminescent creatures...

A glowing ocean at night time with bioluminescent creatures under water. The camera starts with a macro close-up of a glowing jellyfish and then expands to reveal the entire ocean lit up with various glowing colors under a starry sky. Camera Movement: Begin with a macro shot of the jellyfish, then gently pull back and up to showcase the glowing ocean.

查看 API 代码
curl -X POST https://runapi.ai/api/v1/runway/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "runway",
  "prompt": "A glowing ocean at night time with bioluminescent creatures under water. The camera starts with a macro close-up of a glowing jellyfish and then expands to reveal the entire ocean lit up with various glowing colors under a starry sky. Camera Movement: Begin with a macro shot of the jellyfish, then gently pull back and up to showcase the glowing ocean."
}
JSON
VI
视频
nature veo-3.1

Golden hour sunset over Icelandic black sand beach, slow oce...

Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K.

查看 API 代码
curl -X POST https://runapi.ai/api/v1/veo_3_1/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "veo-3.1",
  "prompt": "Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K."
}
JSON
VI
视频
nature veo-3.1

Slow-motion shot of ocean waves crashing against rocky cliff...

Slow-motion shot of ocean waves crashing against rocky cliffs, spray creating mist in the air, dramatic overcast sky, powerful and moody atmosphere, telephoto lens compressing the perspective, nature documentary cinematography.

查看 API 代码
curl -X POST https://runapi.ai/api/v1/veo_3_1/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "veo-3.1",
  "prompt": "Slow-motion shot of ocean waves crashing against rocky cliffs, spray creating mist in the air, dramatic overcast sky, powerful and moody atmosphere, telephoto lens compressing the perspective, nature documentary cinematography."
}
JSON
VI
视频
nature

Slow cinematic dolly shot through a misty forest at dawn, ca...

Slow cinematic dolly shot through a misty forest at dawn, camera gliding between ancient oak trees, volumetric light rays, particles floating in air, film grain, 24fps cinematic.

查看 API 代码
curl -X POST https://runapi.ai/api/v1/runapi/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "prompt": "Slow cinematic dolly shot through a misty forest at dawn, camera gliding between ancient oak trees, volumetric light rays, particles floating in air, film grain, 24fps cinematic."
}
JSON
AU
音频
nature sound-effect-v2

Distant thunder rumbling across a vast open plain during a s...

Distant thunder rumbling across a vast open plain during a summer storm, gradually building in intensity

查看 API 代码
curl -X POST https://runapi.ai/api/v1/elevenlabs/text_to_sound \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "sound-effect-v2",
  "text": "Distant thunder rumbling across a vast open plain during a summer storm, gradually building in intensity"
}
JSON
常见问题

查找并使用 RunAPI prompts

RunAPI prompts 是什么?

RunAPI prompts 是面向图像、视频、音乐和音频模型的精选输入示例。每个 prompt 都配有模型 slug 和 endpoint 路径,开发者可以复制到 agent,也可以放进后端调用。

可以按模型或分类筛选 prompts 吗?

可以。用模态和分类链接缩小范围,再打开模型页查看某个模型 slug 对应的示例。模型页会把 prompt 卡片、安装步骤和 API 示例放在一起。

浏览 prompts 需要 API key 吗?

不需要。浏览、筛选和复制 prompt 文本都是公开的。只有当你让 agent 或应用调用模型并创建生成任务时,才需要 RunAPI key。

agent 应该如何使用这些 prompts?

在 Claude Code、Codex、Cursor 或 Windsurf 中安装 RunAPI MCP Server,然后粘贴页面上的 prompt 指令。agent 可以选择匹配的 RunAPI 工具,并带上页面列出的模型。