A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse. She wears sunglasses and red lipstick. She walks confidently and casually. The street is damp and reflective, creating a mirror effect of the colorful lights. Many pedestrians walk about.
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": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse. She wears sunglasses and red lipstick. She walks confidently and casually. The street is damp and reflective, creating a mirror effect of the colorful lights. Many pedestrians walk about."
}
JSON
Extreme close up of a 24 year old woman's eye blinking, standing in Marrakech during magic hour, cinematic film shot in 70mm, depth of field, vivid colors, 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": "Extreme close up of a 24 year old woman's eye blinking, standing in Marrakech during magic hour, cinematic film shot in 70mm, depth of field, vivid colors, cinematic"
}
JSON
A cinematic vertical shot (9:16) begins with a slow dolly in on a glass greenhouse at dawn, inside which delicate dew drops glisten on spiderwebs. A semi-transparent robotic hummingbird enters through broken glass, hovers near an orchid, and speaks in a whisper with mechanical echo.
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": "A cinematic vertical shot (9:16) begins with a slow dolly in on a glass greenhouse at dawn, inside which delicate dew drops glisten on spiderwebs. A semi-transparent robotic hummingbird enters through broken glass, hovers near an orchid, and speaks in a whisper with mechanical echo."
}
JSON
Hyperspeed timelapse: The camera ascends from street level to a rooftop, showcasing a city's transformation from day to night. Neon signs flicker to life, traffic becomes streams of light, and skyscrapers illuminate against the darkening sky.
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": "Hyperspeed timelapse: The camera ascends from street level to a rooftop, showcasing a city's transformation from day to night. Neon signs flicker to life, traffic becomes streams of light, and skyscrapers illuminate against the darkening sky."
}
JSON
Close-up portrait of a young woman wearing a hooded jacket, standing in a rainy city street at night, neon reflections, cinematic lighting, shallow depth of field, 35mm film look, slow dolly-in, smooth stabilized camera, ultra-detailed, no text, no watermark.
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": "Close-up portrait of a young woman wearing a hooded jacket, standing in a rainy city street at night, neon reflections, cinematic lighting, shallow depth of field, 35mm film look, slow dolly-in, smooth stabilized camera, ultra-detailed, no text, no watermark."
}
JSON
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
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.
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
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.
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
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
Slow cinematic aerial drone shot pulling back from rugged coastal cliffs at sunrise. The camera starts close to the cliff face where waves crash against dark volcanic rock, sending white spray upward, then gradually rises and pulls back to reveal the full coastline stretching into the distance. Morning sunlight paints the cliff tops gold while the ocean below remains deep blue-green. Seabirds glide below camera level. The movement is smooth and steady with no shaking or sudden turns. Cinematic 24fps feel with a wide dynamic range preserving detail in both bright spray and dark rock faces.
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": "Slow cinematic aerial drone shot pulling back from rugged coastal cliffs at sunrise. The camera starts close to the cliff face where waves crash against dark volcanic rock, sending white spray upward, then gradually rises and pulls back to reveal the full coastline stretching into the distance. Morning sunlight paints the cliff tops gold while the ocean below remains deep blue-green. Seabirds glide below camera level. The movement is smooth and steady with no shaking or sudden turns. Cinematic 24fps feel with a wide dynamic range preserving detail in both bright spray and dark rock faces."
}
JSON
Slow forward dolly shot through an abandoned grand library. The camera glides at waist height between towering bookshelves that stretch to a vaulted ceiling covered in peeling frescoes. Dust motes float in shafts of golden light entering through tall arched windows with broken panes. Books are scattered on the floor, some open with pages curling. Ivy creeps through a crack in the far wall. The movement is perfectly smooth and linear, never deviating from the central aisle. Atmospheric, melancholic mood. Warm color palette with deep shadows in the shelf recesses.
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": "Slow forward dolly shot through an abandoned grand library. The camera glides at waist height between towering bookshelves that stretch to a vaulted ceiling covered in peeling frescoes. Dust motes float in shafts of golden light entering through tall arched windows with broken panes. Books are scattered on the floor, some open with pages curling. Ivy creeps through a crack in the far wall. The movement is perfectly smooth and linear, never deviating from the central aisle. Atmospheric, melancholic mood. Warm color palette with deep shadows in the shelf recesses."
}
JSON
Wide establishing shot of a lone astronaut walking across a vast Martian desert. The terrain is flat oxidized red soil with scattered dark basalt rocks. The astronaut's white suit is the only bright element in the frame, creating a strong focal point. They walk slowly from left to right, leaving boot prints in the fine dust. A low dust haze near the ground softens the distant horizon. The sky is a pale butterscotch color with thin high-altitude clouds. Two small moons are faintly visible. Camera is static on a tripod, letting the astronaut's slow movement tell the story of isolation and scale.
curl -X POST https://runapi.ai/api/v1/grok_imagine/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "grok-imagine-text-to-video",
"prompt": "Wide establishing shot of a lone astronaut walking across a vast Martian desert. The terrain is flat oxidized red soil with scattered dark basalt rocks. The astronaut's white suit is the only bright element in the frame, creating a strong focal point. They walk slowly from left to right, leaving boot prints in the fine dust. A low dust haze near the ground softens the distant horizon. The sky is a pale butterscotch color with thin high-altitude clouds. Two small moons are faintly visible. Camera is static on a tripod, letting the astronaut's slow movement tell the story of isolation and scale."
}
JSON
FAQ
Working with Video prompts
What makes a good %{model} prompt?
A useful %{model} prompt names the subject, style, constraints, and output intent clearly. The examples here are short enough to copy, but specific enough for an agent or backend job to preserve the generation goal.
Can I reuse these prompts across models?
Often, yes. Start with a prompt in this modality, then adjust model-specific fields such as aspect ratio, duration, voice settings, or style controls. The detail page shows any saved parameters next to the prompt text.
Where do I find the right model slug?
Every card shows the RunAPI model slug. Open the model page when you want only examples for one model, or follow the model catalog link for pricing and capability details before making a request.
Can agents call these prompts directly?
Yes. After installing the RunAPI MCP Server, paste the agent instruction from a prompt detail page. The page keeps the prompt text, model slug, and endpoint path together so the agent has enough context.