MODEL PROMPTS

wan-2.7-text-to-video Prompts — 5 curated examples

Examples for using wan-2.7-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.

MODELS

wan-2.7-text-to-video

Modality
Video
Provider
Alibaba
Endpoint
Text To Video
View model details and pricing →
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate a video: "In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate a video: "In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate a video: "In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate a video: "In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating."
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-2.7-text-to-video",
  "prompt": "In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating."
}
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-2.7-text-to-video",
  "prompt": "In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating."
});
console.log(result.id);
require "runapi/wan"

client = RunApi::Wan::Client.new
result = client.text_to_video.run(
  model: "wan-2.7-text-to-video",
  prompt: "In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating."
)
puts result.id
package main

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

func main() {
  body := strings.NewReader("{\"model\":\"wan-2.7-text-to-video\",\"prompt\":\"In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating.\"}")
  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-2.7-text-to-video /api/v1/wan/text_to_video Get API Key
VI
Video
cinematic wan-2.7-text-to-video

In the depths of a dense tropical jungle with dappled sunlig...

In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating.

View API Code
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-2.7-text-to-video",
  "prompt": "In the depths of a dense tropical jungle with dappled sunlight filtering through leaves, an explorer in a khaki jacket kneels brushing soil from ancient fragments, reveals shimmering symbols. Camera pushes from wide angle to close-up of his brown pupils dilating."
}
JSON
VI
Video
cinematic wan-2.7-text-to-video

Backlight, medium shot, sunset, soft light, silhouette, cent...

Backlight, medium shot, sunset, soft light, silhouette, center composition, orbiting shot, the lens follows the character from back to front showing rugged cowboy clutching holster, looking alertly around desolate western ghost town.

View API Code
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-2.7-text-to-video",
  "prompt": "Backlight, medium shot, sunset, soft light, silhouette, center composition, orbiting shot, the lens follows the character from back to front showing rugged cowboy clutching holster, looking alertly around desolate western ghost town."
}
JSON
VI
Video
cinematic wan-2.7-text-to-video

Drone lens, fast passing through, looking up from the inside...

Drone lens, fast passing through, looking up from the inside of a circular pipe covered with frost and cracks. Then, the lens flies out of pipe revealing polar snowfield at sunrise with golden light.

View API Code
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-2.7-text-to-video",
  "prompt": "Drone lens, fast passing through, looking up from the inside of a circular pipe covered with frost and cracks. Then, the lens flies out of pipe revealing polar snowfield at sunrise with golden light."
}
JSON
FAQ

Using wan-2.7-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.