模型 PROMPTS

kling-3.0 Prompts — 3 个精选示例

通过 RunAPI 使用 kling-3.0 的示例。复制 prompt 后,可在 Claude Code、Codex、Cursor、Windsurf 或后端 API 中使用。

模型

kling-3.0

模态
视频
提供方
Kuaishou
Endpoint
Text To Video
查看模型详情和定价 →
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 magical fairy with translucent wings walking gracefully through an enchanted forest filled with blooming cherry blossoms. The soft petals gently float in the air, glowing sparkles trail her steps, and golden sunlight filters through the misty trees."
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt:生成一段视频:"A magical fairy with translucent wings walking gracefully through an enchanted forest filled with blooming cherry blossoms. The soft petals gently float in the air, glowing sparkles trail her steps, and golden sunlight filters through the misty trees."
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt:生成一段视频:"A magical fairy with translucent wings walking gracefully through an enchanted forest filled with blooming cherry blossoms. The soft petals gently float in the air, glowing sparkles trail her steps, and golden sunlight filters through the misty trees."
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt:生成一段视频:"A magical fairy with translucent wings walking gracefully through an enchanted forest filled with blooming cherry blossoms. The soft petals gently float in the air, glowing sparkles trail her steps, and golden sunlight filters through the misty trees."
curl -X POST https://runapi.ai/api/v1/kling/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "kling-3.0",
  "prompt": "A magical fairy with translucent wings walking gracefully through an enchanted forest filled with blooming cherry blossoms. The soft petals gently float in the air, glowing sparkles trail her steps, and golden sunlight filters through the misty trees."
}
JSON
import { KlingClient } from "@runapi.ai/kling";

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

const result = await client.textToVideo.run({
  "model": "kling-3.0",
  "prompt": "A magical fairy with translucent wings walking gracefully through an enchanted forest filled with blooming cherry blossoms. The soft petals gently float in the air, glowing sparkles trail her steps, and golden sunlight filters through the misty trees."
});
console.log(result.id);
require "runapi/kling"

client = RunApi::Kling::Client.new
result = client.text_to_video.run(
  model: "kling-3.0",
  prompt: "A magical fairy with translucent wings walking gracefully through an enchanted forest filled with blooming cherry blossoms. The soft petals gently float in the air, glowing sparkles trail her steps, and golden sunlight filters through the misty trees."
)
puts result.id
package main

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

func main() {
  body := strings.NewReader("{\"model\":\"kling-3.0\",\"prompt\":\"A magical fairy with translucent wings walking gracefully through an enchanted forest filled with blooming cherry blossoms. The soft petals gently float in the air, glowing sparkles trail her steps, and golden sunlight filters through the misty trees.\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/kling/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)
}
kling-3.0 /api/v1/kling/text_to_video 获取 API Key
VI
视频
timelapse kling-3.0

Nature timelapse — clouds rolling over mountain pass

Timelapse of thick cumulus clouds pouring through a narrow mountain pass like a slow-motion waterfall of vapor. The camera is positioned on a ridge looking across the pass at eye level with the cloud tops. Clouds spill over the rocky saddle, cascade down the far slope, and dissipate as they descend into the warmer valley below. The sun moves across the sky creating shifting shadows on the mountain faces. Alpine meadow with wildflowers in the foreground remains in sharp focus while clouds are the primary motion element. Golden hour light transitions through the sequence.

查看 API 代码
curl -X POST https://runapi.ai/api/v1/kling/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "kling-3.0",
  "prompt": "Timelapse of thick cumulus clouds pouring through a narrow mountain pass like a slow-motion waterfall of vapor. The camera is positioned on a ridge looking across the pass at eye level with the cloud tops. Clouds spill over the rocky saddle, cascade down the far slope, and dissipate as they descend into the warmer valley below. The sun moves across the sky creating shifting shadows on the mountain faces. Alpine meadow with wildflowers in the foreground remains in sharp focus while clouds are the primary motion element. Golden hour light transitions through the sequence."
}
JSON
常见问题

使用 kling-3.0 prompts

%{model} 是什么?

%{model} 是 RunAPI 统一模型目录中的模型。这些 prompts 展示了 agent 和后端服务可以复用的实际输入模式。

如何使用这些 prompts?

安装 RunAPI MCP Server 后,复制任意 prompt 并粘贴到 Claude Code、Codex、Cursor 或 Windsurf。开发者也可以复制 API 示例直接调用。

浏览这些 prompts 要付费吗?

浏览和复制 prompt 示例是免费的。只有当你使用 API key 调用 RunAPI 模型生成内容时,才会产生费用。

这些 prompts 可以用于生产环境吗?

可以。把每个 prompt 当作起点,再补充品牌规则、输出尺寸、安全约束和你的业务上下文。