模型 PROMPTS

seedance-2.0 Prompts — 4 个精选示例

通过 RunAPI 使用 seedance-2.0 的示例。复制 prompt 后,可在 Claude Code、Codex、Cursor、Windsurf 或后端 API 中使用。

模型

seedance-2.0

模态
视频
提供方
Bytedance
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:"Single continuous cinematic shot, no music. From outside the glass window, the dim camera slowly pushes inward into a pizza shop. A bearded white male employee is baking pizza. He removes the pizza from the oven with a metal tray, places it into a red takeaway box, closes the lid, and then hands it to a customer with a warm smile."
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt:生成一段视频:"Single continuous cinematic shot, no music. From outside the glass window, the dim camera slowly pushes inward into a pizza shop. A bearded white male employee is baking pizza. He removes the pizza from the oven with a metal tray, places it into a red takeaway box, closes the lid, and then hands it to a customer with a warm smile."
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt:生成一段视频:"Single continuous cinematic shot, no music. From outside the glass window, the dim camera slowly pushes inward into a pizza shop. A bearded white male employee is baking pizza. He removes the pizza from the oven with a metal tray, places it into a red takeaway box, closes the lid, and then hands it to a customer with a warm smile."
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt:生成一段视频:"Single continuous cinematic shot, no music. From outside the glass window, the dim camera slowly pushes inward into a pizza shop. A bearded white male employee is baking pizza. He removes the pizza from the oven with a metal tray, places it into a red takeaway box, closes the lid, and then hands it to a customer with a warm smile."
curl -X POST https://runapi.ai/api/v1/seedance/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "seedance-2.0",
  "prompt": "Single continuous cinematic shot, no music. From outside the glass window, the dim camera slowly pushes inward into a pizza shop. A bearded white male employee is baking pizza. He removes the pizza from the oven with a metal tray, places it into a red takeaway box, closes the lid, and then hands it to a customer with a warm smile."
}
JSON
import { SeedanceClient } from "@runapi.ai/seedance";

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

const result = await client.textToVideo.run({
  "model": "seedance-2.0",
  "prompt": "Single continuous cinematic shot, no music. From outside the glass window, the dim camera slowly pushes inward into a pizza shop. A bearded white male employee is baking pizza. He removes the pizza from the oven with a metal tray, places it into a red takeaway box, closes the lid, and then hands it to a customer with a warm smile."
});
console.log(result.id);
require "runapi/seedance"

client = RunApi::Seedance::Client.new
result = client.text_to_video.run(
  model: "seedance-2.0",
  prompt: "Single continuous cinematic shot, no music. From outside the glass window, the dim camera slowly pushes inward into a pizza shop. A bearded white male employee is baking pizza. He removes the pizza from the oven with a metal tray, places it into a red takeaway box, closes the lid, and then hands it to a customer with a warm smile."
)
puts result.id
package main

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

func main() {
  body := strings.NewReader("{\"model\":\"seedance-2.0\",\"prompt\":\"Single continuous cinematic shot, no music. From outside the glass window, the dim camera slowly pushes inward into a pizza shop. A bearded white male employee is baking pizza. He removes the pizza from the oven with a metal tray, places it into a red takeaway box, closes the lid, and then hands it to a customer with a warm smile.\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/seedance/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)
}
seedance-2.0 /api/v1/seedance/text_to_video 获取 API Key
VI
视频
product_demo seedance-2.0

Studio product shot, matte black wireless earbuds on a refle...

Studio product shot, matte black wireless earbuds on a reflective acrylic surface, slow 180-degree camera orbit, softbox reflections, premium ecommerce lighting, shallow depth of field, no text, no logo distortion.

查看 API 代码
curl -X POST https://runapi.ai/api/v1/seedance/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "seedance-2.0",
  "prompt": "Studio product shot, matte black wireless earbuds on a reflective acrylic surface, slow 180-degree camera orbit, softbox reflections, premium ecommerce lighting, shallow depth of field, no text, no logo distortion."
}
JSON
VI
视频
product_demo seedance-2.0

Extreme macro of amber liquid pouring into crystal glass in...

Extreme macro of amber liquid pouring into crystal glass in slow motion. Droplets hang in the air, catching backlight. Ice shifts and cracks. Dolly-out reveals full glass and bottle on dark bar counter. No voiceover, only the sound of liquid and ice.

查看 API 代码
curl -X POST https://runapi.ai/api/v1/seedance/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "seedance-2.0",
  "prompt": "Extreme macro of amber liquid pouring into crystal glass in slow motion. Droplets hang in the air, catching backlight. Ice shifts and cracks. Dolly-out reveals full glass and bottle on dark bar counter. No voiceover, only the sound of liquid and ice."
}
JSON
常见问题

使用 seedance-2.0 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。