Examples for using wan-2.6-text-to-video 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: "Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate a video: "Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate a video: "Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate a video: "Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor."
curl -X POST https://runapi.ai/api/v1/wan/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "wan-2.6-text-to-video",
"prompt": "Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor."
}
JSON
import { WanClient } from "@runapi.ai/wan";
const client = new WanClient({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToVideo.run({
"model": "wan-2.6-text-to-video",
"prompt": "Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor."
});
console.log(result.id);
require "runapi/wan"
client = RunApi::Wan::Client.new
result = client.text_to_video.run(
model: "wan-2.6-text-to-video",
prompt: "Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"wan-2.6-text-to-video\",\"prompt\":\"Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor.\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/wan/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)
}
wan-2.6-text-to-video/api/v1/wan/text_to_videoGet API Key
Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor.
curl -X POST https://runapi.ai/api/v1/wan/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "wan-2.6-text-to-video",
"prompt": "Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor."
}
JSON
FAQ
Using wan-2.6-text-to-video 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.