Browse 1632+ curated prompts for image, video, music, and audio generation. Copy a prompt into Claude Code, Codex, Cursor, Windsurf, or use the API code directly.
Close-up of a weathered explorer in their 50s with intense blue eyes, silver-streaked dark hair, worn leather jacket, dramatic side lighting, shallow depth of field, 85mm lens, golden hour, photorealistic portrait photography
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Close-up of a weathered explorer in their 50s with intense blue eyes, silver-streaked dark hair, worn leather jacket, dramatic side lighting, shallow depth of field, 85mm lens, golden hour, photorealistic portrait photography"
}
JSON
Mid-thirties woman standing in the doorway of a worn brick building, late afternoon window light streaming from the left, wearing a natural linen shirt with reading glasses pushed up on forehead, shallow depth of field, warm ochres and muted greens color palette, documentary street portraiture style, shot with 35mm lens
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Mid-thirties woman standing in the doorway of a worn brick building, late afternoon window light streaming from the left, wearing a natural linen shirt with reading glasses pushed up on forehead, shallow depth of field, warm ochres and muted greens color palette, documentary street portraiture style, shot with 35mm lens"
}
JSON
Close-up studio portrait of a man in his fifties with grey hair, dark charcoal seamless backdrop, single softbox positioned at 45 degrees, rim light on right shoulder, dark turtleneck, medium format film look with cool desaturated tones, sharp focus on eyes
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Close-up studio portrait of a man in his fifties with grey hair, dark charcoal seamless backdrop, single softbox positioned at 45 degrees, rim light on right shoulder, dark turtleneck, medium format film look with cool desaturated tones, sharp focus on eyes"
}
JSON
Full-length shot of an early-twenties man standing in a wheat field at golden hour, warm backlight creating a golden halo around curly hair, weathered denim jacket, looking slightly away from camera, foreground wheat stalks blurred, amber and pale blue color palette, lifestyle photography, 85mm wide aperture lens
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Full-length shot of an early-twenties man standing in a wheat field at golden hour, warm backlight creating a golden halo around curly hair, weathered denim jacket, looking slightly away from camera, foreground wheat stalks blurred, amber and pale blue color palette, lifestyle photography, 85mm wide aperture lens"
}
JSON
35mm film photography portrait, harsh convenience store fluorescent lighting mixed with colorful neon signs from outside, high contrast, cinematic street editorial mood, late-night atmosphere, young woman wearing oversized white shirt and black mini skirt, messy high ponytail, seductive urban portrait energy, shot on analog film with visible grain
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "35mm film photography portrait, harsh convenience store fluorescent lighting mixed with colorful neon signs from outside, high contrast, cinematic street editorial mood, late-night atmosphere, young woman wearing oversized white shirt and black mini skirt, messy high ponytail, seductive urban portrait energy, shot on analog film with visible grain"
}
JSON
A fluffy white Persian cat with bright blue eyes sitting gracefully on a sunlit windowsill, soft morning light streaming through lace curtains creating gentle dappled shadows, warm golden tones, shallow depth of field with sharp focus on the cat's face, photorealistic, shot on medium format camera
curl -X POST https://runapi.ai/api/v1/imagen_4/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "imagen-4",
"prompt": "A fluffy white Persian cat with bright blue eyes sitting gracefully on a sunlit windowsill, soft morning light streaming through lace curtains creating gentle dappled shadows, warm golden tones, shallow depth of field with sharp focus on the cat's face, photorealistic, shot on medium format camera"
}
JSON
Cinematic minimal portrait of a solitary man in an intense orange-to-red gradient environment with strong silhouette backlighting, reflective glossy black floor creating a perfect mirror reflection, symmetrical composition, minimal set design with no background clutter, the mood is contemplative and powerful, fashion-editorial drama, premium and graphic quality
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "Cinematic minimal portrait of a solitary man in an intense orange-to-red gradient environment with strong silhouette backlighting, reflective glossy black floor creating a perfect mirror reflection, symmetrical composition, minimal set design with no background clutter, the mood is contemplative and powerful, fashion-editorial drama, premium and graphic quality"
}
JSON
Extreme close-up beauty shot, woman's face in profile, every skin pore and vellus hair resolved, single strip softbox creating a highlight across the cheekbone fading to a deep shadow along the jaw, minimal dewy makeup, pure black background, shallow depth of field, warm ivory skin tones against deep black, beauty campaign photography
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Extreme close-up beauty shot, woman's face in profile, every skin pore and vellus hair resolved, single strip softbox creating a highlight across the cheekbone fading to a deep shadow along the jaw, minimal dewy makeup, pure black background, shallow depth of field, warm ivory skin tones against deep black, beauty campaign photography"
}
JSON
Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain"
}
JSON
Elderly fisherman mending a fishing net on a weathered wooden dock, early morning overcast light with subtle warmth breaking on the horizon, weathered hands in sharp focus in the foreground, face slightly soft-focused, calm ocean and moored fishing boats in the background, photojournalistic framing, shot with 35mm lens, documentary portrait style
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Elderly fisherman mending a fishing net on a weathered wooden dock, early morning overcast light with subtle warmth breaking on the horizon, weathered hands in sharp focus in the foreground, face slightly soft-focused, calm ocean and moored fishing boats in the background, photojournalistic framing, shot with 35mm lens, documentary portrait style"
}
JSON
Professional headshot photo, 30 year old woman in navy business attire, confident natural smile, neutral grey seamless background, studio lighting with large softbox, shallow depth of field with beautiful bokeh, shot with 85mm f/1.8 lens, photorealistic, high quality, 8k, professional corporate photography
curl -X POST https://runapi.ai/api/v1/flux_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "flux-2-pro-text-to-image",
"prompt": "Professional headshot photo, 30 year old woman in navy business attire, confident natural smile, neutral grey seamless background, studio lighting with large softbox, shallow depth of field with beautiful bokeh, shot with 85mm f/1.8 lens, photorealistic, high quality, 8k, professional corporate photography"
}
JSON
FAQ
Finding and using RunAPI prompts
What are RunAPI prompts?
RunAPI prompts are curated input examples for image, video, music, and audio models. Each prompt is paired with the model slug and endpoint path so developers can copy the text into an agent or reuse it in backend calls.
Can I filter prompts by model or category?
Yes. Use the modality and category links to narrow the library, then open a model page for examples tied to one specific model slug. Each model page keeps the prompt cards, install steps, and API examples together.
Do I need an API key to browse prompts?
No. Browsing, filtering, and copying prompt text is public. You only need a RunAPI key when you ask an agent or your application to call a model and create a generation task.
How should agents use these prompts?
Install the RunAPI MCP Server in Claude Code, Codex, Cursor, or Windsurf, then paste the prompt instruction shown on the page. The agent can choose the matching RunAPI tool and send the prompt with the listed model.