Examples for using veo-3.1 through RunAPI from agent tools or API calls. Copy a prompt, then use it in Claude Code, Codex, Cursor, Windsurf, or your backend.
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate a video: "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."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate a video: "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."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate a video: "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."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate a video: "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."
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
import { Veo31Client } from "@runapi.ai/veo-3-1";
const client = new Veo31Client({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToVideo.run({
"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."
});
console.log(result.id);
require "runapi/veo_3_1"
client = RunApi::Veo31::Client.new
result = client.text_to_video.run(
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."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"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.\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/veo_3_1/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)
}
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.
Abstract liquid metal shapes morphing and flowing in silver and gold tones, slow sphere-to-waves-to-geometric transformation, hypnotic meditative energy, rendered 3D quality.
A steaming pizza is pulled from a wood-fired oven on a long wooden peel. Cheese stretches as a slice is lifted. Close-up details of the bubbling crust and charred edges. Warm, rustic Italian restaurant ambiance. Food photography lighting with warm tones.
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": "A steaming pizza is pulled from a wood-fired oven on a long wooden peel. Cheese stretches as a slice is lifted. Close-up details of the bubbling crust and charred edges. Warm, rustic Italian restaurant ambiance. Food photography lighting with warm tones."
}
JSON
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.
Paint drops into clear water in extreme slow motion. Colors bloom and swirl in organic patterns — deep blues mixing with golden yellows. Camera captures the moment from directly above. Studio lighting makes every droplet sparkle.
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": "Paint drops into clear water in extreme slow motion. Colors bloom and swirl in organic patterns — deep blues mixing with golden yellows. Camera captures the moment from directly above. Studio lighting makes every droplet sparkle."
}
JSON
Elegant product reveal of a premium smartwatch on a slowly rotating display platform. The video starts with a completely dark frame, then a single spotlight fades in from above, illuminating the watch face first. The platform rotates 180 degrees over the clip duration, showing the watch from front to side profile. The watch face displays a minimalist analog dial with blue hands. Reflections from the polished stainless steel case create subtle light flares. Background remains pure black. Studio lighting with a slight rim light on the back edge of the watch band. Smooth, slow rotation — no camera movement, the platform does all the work.
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": "Elegant product reveal of a premium smartwatch on a slowly rotating display platform. The video starts with a completely dark frame, then a single spotlight fades in from above, illuminating the watch face first. The platform rotates 180 degrees over the clip duration, showing the watch from front to side profile. The watch face displays a minimalist analog dial with blue hands. Reflections from the polished stainless steel case create subtle light flares. Background remains pure black. Studio lighting with a slight rim light on the back edge of the watch band. Smooth, slow rotation — no camera movement, the platform does all the work."
}
JSON
FAQ
Using veo-3.1 prompts
What is %{model}?
%{model} is available through RunAPI as part of the unified model catalog. These prompts show practical input patterns that agents and backend services can reuse.
How do I use these prompts?
Copy any prompt and paste it into Claude Code, Codex, Cursor, or Windsurf after installing the RunAPI MCP Server. Developers can also copy the API example and send the prompt directly.
Do these prompts cost money to browse?
Browsing and copying prompt examples is free. Generation requests only cost money when you call a RunAPI model with your API key.
Can I adapt the prompts for production?
Yes. Treat each prompt as a starting point, then add your brand rules, output dimensions, safety constraints, and application-specific context before using it in production.