Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos.
/api/v1/runapi/text_to_video
RUN DETAILS
Model
Provider
Runapi
Service
Runapi
Endpoint
Text To Video
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate a video: "Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate a video: "Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate a video: "Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate a video: "Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos."
curl -X POST https://runapi.ai/api/v1/runapi/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos."
}
JSON
import { RunapiClient } from "@runapi.ai/runapi";
const client = new RunapiClient({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToVideo.run({
"prompt": "Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos."
});
console.log(result.id);
require "runapi/runapi"
client = RunApi::Runapi::Client.new
result = client.text_to_video.run(
prompt: "Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"prompt\":\"Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos.\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/runapi/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)
}
Several giant wooly mammoths approach treading through a snowy meadow, their long wooly fur lightly blows in the wind as they walk, snow covered trees and dramatic snow capped mountains in the distance, mid afternoon light with wispy clouds and a sun high in the distance creates a warm glow, the low camera view is stunning capturing the large furry mammal with beautiful photography, depth of field.
curl -X POST https://runapi.ai/api/v1/runapi/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Several giant wooly mammoths approach treading through a snowy meadow, their long wooly fur lightly blows in the wind as they walk, snow covered trees and dramatic snow capped mountains in the distance, mid afternoon light with wispy clouds and a sun high in the distance creates a warm glow, the low camera view is stunning capturing the large furry mammal with beautiful photography, depth of field."
}
JSON
A glowing ocean at night time with bioluminescent creatures under water. The camera starts with a macro close-up of a glowing jellyfish and then expands to reveal the entire ocean lit up with various glowing colors under a starry sky. Camera Movement: Begin with a macro shot of the jellyfish, then gently pull back and up to showcase the glowing ocean.
curl -X POST https://runapi.ai/api/v1/runway/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "runway",
"prompt": "A glowing ocean at night time with bioluminescent creatures under water. The camera starts with a macro close-up of a glowing jellyfish and then expands to reveal the entire ocean lit up with various glowing colors under a starry sky. Camera Movement: Begin with a macro shot of the jellyfish, then gently pull back and up to showcase the glowing ocean."
}
JSON
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.
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.
Slow cinematic dolly shot through a misty forest at dawn, camera gliding between ancient oak trees, volumetric light rays, particles floating in air, film grain, 24fps cinematic.
curl -X POST https://runapi.ai/api/v1/runapi/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Slow cinematic dolly shot through a misty forest at dawn, camera gliding between ancient oak trees, volumetric light rays, particles floating in air, film grain, 24fps cinematic."
}
JSON
curl -X POST https://runapi.ai/api/v1/elevenlabs/text_to_sound \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "sound-effect-v2",
"text": "Distant thunder rumbling across a vast open plain during a summer storm, gradually building in intensity"
}
JSON
FAQ
Using this prompt
How do I copy this prompt safely?
Use the copy button beside the full prompt block. It copies only the prompt text, not surrounding page labels, so you can paste it into an agent instruction, a JSON request body, or your own prompt library.
Why does the detail page show parameters?
Some prompts were collected with saved generation settings such as aspect ratio, duration, or voice controls. When parameters exist, the page lists them separately so you can reuse the prompt text and the structured settings together.
Which endpoint should I call?
Use the endpoint path shown in the API code block. The path is generated from the prompt's RunAPI service and endpoint name, then rendered as the public API URL used by curl and SDK examples.
Can I use this prompt in an agent instead of code?
Yes. Pick Claude Code, Codex, Cursor, or Windsurf in the tab switcher, install the RunAPI MCP Server, and paste the generated instruction. The instruction includes the full prompt text.