PROMPT 详情

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

视频 nature runway
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.
runway /api/v1/runway/text_to_video
运行信息
模型
runway
提供方
Runway
服务
Runway
Endpoint
Text To Video
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. 重启 Claude Code
3. 粘贴这个 prompt:生成一段视频:"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."
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt:生成一段视频:"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."
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt:生成一段视频:"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."
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt:生成一段视频:"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."
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
import { RunwayClient } from "@runapi.ai/runway";

const client = new RunwayClient({
  apiKey: process.env.RUNAPI_API_KEY,
});

const result = await client.textToVideo.run({
  "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."
});
console.log(result.id);
require "runapi/runway"

client = RunApi::Runway::Client.new
result = client.text_to_video.run(
  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."
)
puts result.id
package main

import (
  "context"
  "fmt"
  "log"
  "net/http"
  "os"
  "strings"
)

func main() {
  body := strings.NewReader("{\"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.\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/runway/text_to_video", body)
  if err != nil {
    log.Fatal(err)
  }

  req.Header.Set("Authorization", "Bearer "+os.Getenv("RUNAPI_API_KEY"))
  req.Header.Set("Content-Type", "application/json")

  resp, err := http.DefaultClient.Do(req)
  if err != nil {
    log.Fatal(err)
  }
  defer resp.Body.Close()

  fmt.Println(resp.Status)
}
runway /api/v1/runway/text_to_video 获取 API Key
相关 PROMPTS

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Hyperspeed timelapse: The camera ascends from street level to a rooftop, showcasing a city's transformation from day to night. Neon signs flicker to life, traffic becomes streams of light, and skyscrapers illuminate against the darkening sky.

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": "Hyperspeed timelapse: The camera ascends from street level to a rooftop, showcasing a city's transformation from day to night. Neon signs flicker to life, traffic becomes streams of light, and skyscrapers illuminate against the darkening sky."
}
JSON
VI
视频
cinematic runway

Cinematic dolly — abandoned library

Slow forward dolly shot through an abandoned grand library. The camera glides at waist height between towering bookshelves that stretch to a vaulted ceiling covered in peeling frescoes. Dust motes float in shafts of golden light entering through tall arched windows with broken panes. Books are scattered on the floor, some open with pages curling. Ivy creeps through a crack in the far wall. The movement is perfectly smooth and linear, never deviating from the central aisle. Atmospheric, melancholic mood. Warm color palette with deep shadows in the shelf recesses.

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": "Slow forward dolly shot through an abandoned grand library. The camera glides at waist height between towering bookshelves that stretch to a vaulted ceiling covered in peeling frescoes. Dust motes float in shafts of golden light entering through tall arched windows with broken panes. Books are scattered on the floor, some open with pages curling. Ivy creeps through a crack in the far wall. The movement is perfectly smooth and linear, never deviating from the central aisle. Atmospheric, melancholic mood. Warm color palette with deep shadows in the shelf recesses."
}
JSON
常见问题

使用这个 runway prompt

如何安全复制这个 prompt?

使用完整 prompt 区块旁边的复制按钮。它只复制 prompt 文本,不包含页面标签,所以可以直接粘贴到 agent 指令、JSON 请求体或你自己的 prompt 库。

为什么详情页会显示参数?

有些 prompt 采集时带有画幅、时长或声音控制等生成设置。存在参数时,页面会单独列出,方便你同时复用 prompt 文本和结构化设置。

应该调用哪个 endpoint?

使用 API 代码块里显示的 endpoint 路径。这个路径由 prompt 的 RunAPI 服务和 endpoint 名称生成,并渲染成 curl 与 SDK 示例使用的公开 API URL。

可以不用代码,直接在 agent 里用吗?

可以。在标签切换器里选择 Claude Code、Codex、Cursor 或 Windsurf,安装 RunAPI MCP Server,然后粘贴生成好的指令。指令会包含完整 prompt 文本。