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AI video model
Runway

Runway

Runway currently supports text-to-video and single-image-to-video. Base generation offers 720p for 5 seconds, 720p for 10 seconds, and 1080p for 5 seconds.

Input modes
Text-to-video and single-image-to-video
Credit cost
12 / 30 / 30 credits
Prompt limit
1,800 characters
Upload limit
1 JPG/JPEG/PNG file, up to 10 MB
30-second overview
  • ★ — Runway currently supports text-to-video and single-image-to-video. Base generation offers 720p for 5 seconds, 720p for 10 seconds, and 1080p for 5 seconds.
  • ★ — 720p for 5 seconds costs 12 credits; 720p for 10 seconds and 1080p for 5 seconds each cost 30 credits. 1080p for 10 seconds is unavailable.
  • ★ — Image mode accepts exactly one JPG, JPEG, or PNG file up to 10 MB and follows the starting image orientation.
  • ★ — Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.

Popular searches: How do I use Runway? · Runway text-to-video · Runway single-image-to-video

Examples

Cinematic scene

STYLE: Miniature Tiny-Person FX, photorealistic live-action, cinematic macro photography, ultra-shallow depth of field, bright modern convenience store, realistic fluorescent lighting, ultra-detailed 8K, vertical 9:16, dynamic viral short-video style. DURATION: 15 seconds. SETTING: A huge modern convenience store packed with towering shelves of colorful snack bags, instant noodles, bottled drinks, soda cans, candy, cereal boxes, refrigerators, shopping baskets, and hanging price tags. Everything feels enormous from the perspective of a palm-sized woman. CHARACTER: One athletic miniature woman (1:15 scale), identical appearance throughout: lightweight adventure jacket, cargo pants, sneakers, utility backpack, same face, hairstyle, proportions, and size in every shot. 00:00–00:03 — Snack Shelf Swing Standing on a giant chip bag, she sprints and leaps toward a hanging price tag, grabs it with both hands, swings across the aisle, and launches onto the next shelf. The tag swings behind her. Camera: Low-angle macro tracking. SFX: Plastic crinkles, tiny footsteps, rushing air, swinging tag. 00:03–00:06 — Bottle Cap Parkour She lands on a giant drink bottle and parkours across colorful bottle caps. One bottle wobbles beneath her; she regains balance and performs a forward flip onto the next shelf. Camera: Fast side-tracking macro. SFX: Footsteps, bottle creaks, liquid slosh, hard landings. 00:06–00:09 — Shopping Basket Zipline She grabs a hanging promotional cord and ziplines above snacks and noodles. Releasing at the perfect moment, she lands inside a moving shopping basket among giant chocolate bars and noodle cups. Camera: Overhead to low-angle transition. SFX: Zipline whistle, wind, basket wheels, impact. 00:09–00:12 — Runaway Soda Can A giant soda can rolls inside the basket. She jumps onto it, balances like a surfer, and rides it across the polished floor, narrowly avoiding shoppers' shoes, baskets, and scattered snacks. Camera: Ultra-low floor-level macro tracking. SFX: Rolling metal, wind, store ambience. 00:12–00:15 — Victory Finale Using the rolling can as a launch ramp, she leaps to a freezer handle, swings up, and stands triumphantly on top of the freezer. The massive store stretches behind her as sparkling particles appear and large golden text reads: "CHALLENGE COMPLETE" She raises one fist while the camera slowly pulls back, emphasizing her tiny scale. Camera: Cinematic pullback. SFX: Leap whoosh, metallic grab, victory chime, sparkles, store ambience. VISUAL REQUIREMENTS: Maintain a consistent 1:15 miniature scale, realistic physics, smooth continuous action, photorealistic packaging, authentic reflections, cinematic macro DOF, and consistent character identity. No animation, cartoons, narration, subtitles, outfit changes, or scale inconsistencies.

Cinematic scene

Create an exceptionally realistic 30-second live-action cinematic short film in 16:9. It must look entirely filmed in the real world with real actors, practical locations and natural camera operation. Nothing should resemble AI-generated imagery or a polished advertisement. MAIN CHARACTER One consistent 25-year-old man, slightly untidy black hair, faint natural stubble and a slim average build. He wears a faded charcoal T-shirt, dark olive overshirt, loose black trousers, worn off-white sneakers and a black canvas shoulder bag. Preserve his exact face, hairstyle, age, body, outfit and proportions throughout. RECURRING OBJECT One small square pale-blue pastry box tied with thin red cotton string. Preserve its exact size, colour and appearance in every shot. The box contains one simple vanilla cupcake with white icing and one thin unlit birthday candle. Do not reveal the contents before the specified moment. 0–3.5 SECONDS Begin in a modest, genuinely lived-in city apartment during overcast late afternoon. A friend appears to be filming from knee height on a handheld cinema camera. The man sits on the edge of his bed tying one sneaker. He briefly looks toward the camera and says naturally, with quiet humour: “Day ten thousand of living life. I thought it would feel bigger.” Perfect natural English speech, subtle facial movement and accurate lip synchronization. No exaggerated acting. 3.5–7 SECONDS The camera follows him through the apartment in one loose handheld movement. He picks up the pale-blue pastry box and his canvas bag from the kitchen counter. Include ordinary background imperfections: an unwashed coffee cup, slightly crooked photographs, cables near the desk and soft window light. He leaves the apartment. The dark apartment door briefly fills the frame, creating a clean practical transition. 7–11 SECONDS Cut as a similarly dark elevator door opens. He walks out into a real apartment lobby and continues toward the street. The camera follows several steps behind him. Maintain believable autofocus corrections, footsteps, clothing movement and environmental sound. 11–15 SECONDS Long-lens side view from across a wet city street. He crosses a busy pedestrian crossing carrying the same box. Light drizzle, vehicles waiting naturally, umbrellas, imperfect pedestrian spacing and realistic reflections on the road. Nobody looks at the camera. Do not isolate him with artificial depth of field. 15–19 SECONDS A passing city bus briefly obscures the entire frame. When it clears, reveal the same man arriving outside a small neighbourhood laundromat during early evening. This is a motivated hidden cut, not a morph. The camera follows him physically through the open laundromat door. 19–23 SECONDS Wide, quiet composition inside the laundromat. Slightly harsh fluorescent ceiling lights, rain-marked front windows, mismatched plastic chairs and several washing machines rotating at different speeds. He places a small load of clothes into one machine, sits down and rests the closed pale-blue box on his lap. His behaviour remains casual and understated. 23–27 SECONDS He unties the red string and opens the box for the first time, revealing one cupcake with one unlit candle. An elderly female laundromat attendant in her early 60s, with grey hair in a low bun and a burgundy cardigan, notices from nearby. Without speaking, she approaches, strikes a real wooden match and gently lights the candle. Show the match resisting for a fraction of a second before igniting. Use a close natural shot of her hand, the flame and his surprised half-smile. Anatomically correct hands and realistic fire. 27–30 SECONDS He watches the tiny candle with a restrained, slightly emotional smile. The camera slowly dollies backwards through the already-open laundromat doorway and onto the wet pavement, leaving him and the attendant framed naturally inside the warm laundromat. The city remains cool and rainy outside. Over the final pullback, his quiet voice says: “Maybe the ordinary days were the big thing.” Finish on the candlelight reflected faintly in the rain-streaked laundromat window. Hold the final image steady for the last half-second. VISUAL STYLE Authentic independent short film, natural 24fps motion, realistic shutter blur, restrained cinematic colour, practical lighting, subtle sensor grain, occasional focus breathing, imperfect handheld movement and detailed environmental sound. Use physically possible camera movements and clean hard cuts or motivated foreground wipes. The character must behave as though the camera is a familiar friend, not a commercial crew. AUDIO Begin with quiet apartment ambience and natural dialogue. Gradually introduce an understated warm instrumental track with soft piano, brushed percussion and low analogue texture. Preserve footsteps, elevator movement, rain, traffic, laundromat machines, the match strike and the small flame. Music must never overpower the spoken lines. EXCLUDE No subtitles, captions, logos or on-screen text. No beauty filtering, plastic skin, excessive orange-and-teal grading, surreal lighting, slow motion, speed ramps, artificial bokeh, floating objects, morphing locations, duplicated people, changing clothes, changing pastry box, extra fingers, malformed hands, random staring pedestrians, exaggerated smiles, melodramatic acting or glossy advertising imagery.

Fashion portrait

Cinematic scene

Create a 30-second ultra-cinematic romantic short film featuring the same two clearly adult characters, both around 24–26 years old, throughout the entire video. The woman is elegant, expressive, and naturally beautiful, wearing a long dark coat over a soft cream outfit, with loose natural hair. The man is stylish and understated, wearing a charcoal jacket, dark trousers, and a simple watch. Maintain their exact same faces, hairstyles, outfits, body proportions, and identity in every shot. VISUAL CONCEPT Two strangers keep passing through the same city without noticing each other. They appear in the same places only seconds apart, creating the feeling that fate keeps bringing them close. The entire film builds toward one final moment when they finally see each other. 0–3 SEC — VIRAL HOOK Nighttime city street after light rain. Extreme cinematic close-up of the woman walking past camera. At the exact same moment, the man walks in the opposite direction behind her. They pass back-to-back only inches apart without seeing each other. Camera performs a smooth 180-degree rotation between them. For one second, both turn their heads slightly… …but just miss each other. Rain droplets glow under streetlights. --- 3–7 SEC — TRAIN WINDOW The woman sits inside a moving city train beside the window. Outside, the man stands on the opposite platform. Camera focuses through the glass reflection. For a brief moment, their faces visually overlap in the train window reflection. The train starts moving before either notices. Slow cinematic push-in. --- 7–11 SEC — COFFEE SHOP NEAR MISS Warm stylish café. The woman leaves through the front door carrying a takeaway coffee. Half a second later, the man enters through the same door. As they pass, the edge of her coat lightly moves from the air of the opening door. He briefly looks back. She has already disappeared into the crowd. -- 11–15 SEC — STREET CROSSING Golden evening light. Wide cinematic city intersection. The woman crosses from left to right. The man crosses from right to left on the opposite side. A yellow taxi passes between them and temporarily blocks the view. When the taxi clears… both have already passed. Use a beautiful overhead shot showing how close their paths were. --- 15–19 SEC — RED SCARF MOMENT Wind suddenly picks up. A small deep-red scarf tied to the woman's handbag becomes loose and flies away. Slow-motion close-up as the scarf moves through the air. The man reaches out and catches it naturally with one hand. He looks toward the direction it came from. --- 19–23 SEC — THE CHASE Music begins building emotionally. The man walks quickly through the crowd holding the red scarf. Fast cinematic cuts: His shoes moving across wet pavement. Her silhouette ahead. Streetlights reflecting in puddles. His hand holding the scarf. Her hair moving in the evening wind. Camera movement becomes slightly faster. --- 23–27 SEC — FINALLY The woman stops beneath the warm lights of an old cinema entrance. She realizes her scarf is missing and turns around. The man appears several meters behind her. He slowly raises the scarf. Their eyes meet for the first time. Everything around them continues moving normally, but the camera movement becomes calm and intimate. Neither speaks. She gives a surprised little smile. He smiles back. --- 27–30 SEC — FINAL FILMY SHOT He walks toward her and gently offers the scarf back. She takes it. Their hands briefly meet naturally while exchanging it. Both smile with slightly awkward, genuine expressions. Camera slowly pulls backward into a wide shot. Rain begins lightly again. People and cars move through the glowing city behind them. The two remain standing beneath the cinema lights talking quietly as the camera continues pulling away. CUT TO BLACK. --- CAMERA STYLE Premium romantic movie cinematography. ARRI Alexa 35 / Sony Venice cinematic realism.

Cinematic scene

Video Prompt: "Just Found My New Favorite Korean Lunch Spot" Style: Ultra-photorealistic 4K smartphone vlog, 7-shot continuous montage. Authentic handheld phone footage with subtle natural shake, autofocus breathing, realistic exposure shifts, HDR lighting, shallow depth of field, soft cinematic film grain. Feels like an organic travel vlog filmed by a friend—no staged or commercial look. A woman (reference image provides only her face and hairstyle) sits alone at a cozy Korean neighborhood restaurant beside a large open window overlooking a quiet alley. She wears a relaxed cream linen short-sleeve blouse with shoulders fully covered and light blue jeans. She remains seated on the same side facing the camera throughout the entire video. No other faces appear; only a server's hands briefly enter the frame. The wooden table holds a bubbling stone bowl of kimchi jjigae, a bowl of steamed rice, grilled seaweed, assorted banchan (kimchi, spinach, bean sprouts), stainless spoon and chopsticks, a glass of iced barley tea, and a folded napkin. Warm steam rises naturally while sunlight filters through the window, creating a cozy late-summer atmosphere. Shots 1. Arrival The steaming kimchi jjigae is placed on the table. Steam rises toward the camera, briefly fogging the lens. She smiles with genuine excitement and quietly says: "와... 냄새 미쳤다." 2. Mixing Overhead handheld shot. She scoops fluffy rice into the bubbling stew, gently mixing tofu, kimchi, and broth. Close-up of the rich red soup simmering. 3. First Bite She carefully blows on a spoonful, tastes it, pauses for a second, smiles naturally, and says: "진짜 맛있다." 4. Perfect Bite She wraps rice and kimchi in roasted seaweed, takes one satisfying bite, then laughs softly: "이 조합 최고다." 5. Refreshing Break She pours iced barley tea into a stainless cup. Condensation glistens on the glass. She drinks, exhales comfortably, and smiles. 6. Favorite Moment She lifts a large piece of silky tofu dripping with spicy broth, tastes it slowly, nods with approval, and says: "국물이 끝내준다." 7. Ending The meal is finished. Empty bowls remain on the table. She leans back, closes her eyes for a moment as a gentle breeze moves the curtains, then looks into the camera with a satisfied smile: "또 올게." Audio Only natural Korean dialogue where specified. Authentic ambient sounds only: Bubbling stew Spoon and chopsticks on ceramic Steam sizzling Rice mixing Tea pouring Light restaurant chatter (indistinct) Birds outside Distant city ambience Gentle breeze through the open window Negative Prompt No music, subtitles, captions, logos, watermarks, duplicated reference image, face morphing, identity changes, unrealistic food physics, exaggerated expressions, over-smooth skin, AI artifacts, floating objects, extra people, camera glitches, jump cuts, fast zooms, or cinematic transitions. Maintain consistent facial identity from the reference image, accurate lip-sync, natural blinking, realistic eating motions, and lifelike food textures throughout.

Fashion portrait

At a glance

Is this model right for you?

Text mode supports 16:9, 9:16, 1:1, 4:3, and 3:4. Image mode accepts one JPG, JPEG, or PNG file up to 10 MB. Base generation and Extend are separate, separately charged tasks.

What it does best
This page starts from text or one image. Compare Runway Aleph or Luma Modify Video when transforming an existing video.
Who it is for
Use it to generate a short video from text, animate a single image, or add another segment to a successful result. The page has no multi-image input, existing-video transformation, or 1080p 10-second option.
Why use it on Kyeo AI
720p for 5 seconds costs 12 credits; 720p for 10 seconds and 1080p for 5 seconds each cost 30 credits. 1080p for 10 seconds is unavailable. Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.

Key facts

Quickly evaluate whether this model fits your business use case.

Input modes
Runway currently supports text-to-video and single-image-to-video. Base generation offers 720p for 5 seconds, 720p for 10 seconds, and 1080p for 5 seconds.
Credit cost
720p for 5 seconds costs 12 credits; 720p for 10 seconds and 1080p for 5 seconds each cost 30 credits. 1080p for 10 seconds is unavailable.
Prompt limit
1,800 characters
Upload limit
Image mode accepts exactly one JPG, JPEG, or PNG file up to 10 MB and follows the starting image orientation.
Extend
Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.

Other names

The same model may have different names in official documentation, community discussions, and API integrations. This section brings them together for you.

Runway
Runway video generation
Runway Extend

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

How do I use Runway?
Runway text-to-video
Runway single-image-to-video
Runway pricing
Runway 720p vs 1080p
Runway 5 vs 10 seconds
Does Runway support 1080p for 10 seconds?
What is Runway Extend?
How do I use Runway Extend?
Which public source Runway model does Kyeo use?

Decision guide

Still deciding? Start with these key decision points.

1
When starting from text or one image

When starting from text or one image — Runway currently supports text-to-video and single-image-to-video. Base generation offers 720p for 5 seconds, 720p for 10 seconds, and 1080p for 5 seconds.

2
When an existing video needs transformation

When an existing video needs transformation — This page starts from text or one image. Compare Runway Aleph or Luma Modify Video when transforming an existing video.

3
Minimum verification path

Minimum verification path — 720p for 5 seconds costs 12 credits; 720p for 10 seconds and 1080p for 5 seconds each cost 30 credits. 1080p for 10 seconds is unavailable. Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.

Popular comparisons

Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.

How does Runway differ from Runway Aleph?
Runway vs Runway Aleph
How does Runway differ from Luma Modify Video?
Runway vs Luma Modify Video

Model comparison table

Not sure which model to choose? Compare the key differences between this model and its alternatives at a glance.

Input media
Runway
Input media — Runway currently supports text-to-video and single-image-to-video. Base generation offers 720p for 5 seconds, 720p for 10 seconds, and 1080p for 5 seconds.
Runway Aleph
1 existing video, with 1 optional reference image
Extend
Runway
Extend — Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.
Runway Aleph
No current Runway Extend action
Visible controls
Runway
Visible controls — Text mode supports 16:9, 9:16, 1:1, 4:3, and 3:4. Image mode accepts one JPG, JPEG, or PNG file up to 10 MB. Base generation and Extend are separate, separately charged tasks.
Runway Aleph
Runway Aleph — This page starts from text or one image. Compare Runway Aleph or Luma Modify Video when transforming an existing video.

Real-world experience

Practical guidance based on public sources, current on-site limits, and representative tasks.

The public source workflow name is not a direct Runway model

The public source workflow name is not a direct Runway model — Runway currently supports text-to-video and single-image-to-video. Base generation offers 720p for 5 seconds, 720p for 10 seconds, and 1080p for 5 seconds.

Generation and extension are separate requests

Generation and extension are separate requests — 720p for 5 seconds costs 12 credits; 720p for 10 seconds and 1080p for 5 seconds each cost 30 credits. 1080p for 10 seconds is unavailable. Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.

Capabilities

One generation workflow for text and a single image

One generation workflow for text and a single image — Image mode accepts exactly one JPG, JPEG, or PNG file up to 10 MB and follows the starting image orientation.

3 valid generation combinations

3 valid generation combinations — 720p for 5 seconds costs 12 credits; 720p for 10 seconds and 1080p for 5 seconds each cost 30 credits. 1080p for 10 seconds is unavailable.

Separate extension for successful results

Separate extension for successful results — Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.

Use cases

Generate a short video from text

Generate a short video from text — Runway currently supports text-to-video and single-image-to-video. Base generation offers 720p for 5 seconds, 720p for 10 seconds, and 1080p for 5 seconds.

Generate a video from one image

Generate a video from one image — Image mode accepts exactly one JPG, JPEG, or PNG file up to 10 MB and follows the starting image orientation.

Extend a successful result

Extend a successful result — Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.

Prompt tips

Confirm a valid combination first

Confirm a valid combination first — 720p for 5 seconds costs 12 credits; 720p for 10 seconds and 1080p for 5 seconds each cost 30 credits. 1080p for 10 seconds is unavailable.

Crop image-mode input before upload

Crop image-mode input before upload — Image mode accepts exactly one JPG, JPEG, or PNG file up to 10 MB and follows the starting image orientation.

Write generation and extension prompts separately

Write generation and extension prompts separately — Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.

Why choose it

✓ — Runway currently supports text-to-video and single-image-to-video. Base generation offers 720p for 5 seconds, 720p for 10 seconds, and 1080p for 5 seconds.
✓ — 720p for 5 seconds costs 12 credits; 720p for 10 seconds and 1080p for 5 seconds each cost 30 credits. 1080p for 10 seconds is unavailable.
✓ — Image mode accepts exactly one JPG, JPEG, or PNG file up to 10 MB and follows the starting image orientation.
✓ — Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.

What to know first

• — This page starts from text or one image. Compare Runway Aleph or Luma Modify Video when transforming an existing video.
• — 720p for 5 seconds costs 12 credits; 720p for 10 seconds and 1080p for 5 seconds each cost 30 credits. 1080p for 10 seconds is unavailable.
• — Image mode accepts exactly one JPG, JPEG, or PNG file up to 10 MB and follows the starting image orientation.
• — Only a successful 720p Runway result can use Extend; 720p output costs 12 credits and 1080p output costs 30 credits, regardless of source duration.
• — Public material states that result files are retained for 14 days. Save required files in time and review generated content independently.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

Video duration
Optional
Parameter type: select
Default: 5 seconds
5 seconds
10 seconds
Video resolution
Optional
Parameter type: select
Default: 720p
720p
1080p
Aspect ratio
Optional
Parameter type: select
Default: 16:9
16:9
4:3
1:1
3:4
9:16
Video marking
Optional
Parameter type: text

Credit cost

720p 5 sec: 12 credits; 720p 10 sec or 1080p 5 sec: 30 credits

Kyeo currently exposes three base-generation combinations: 720p for 5 seconds at 12 credits, 720p for 10 seconds at 30 credits, and 1080p for 5 seconds at 30 credits. It does not offer 1080p for 10 seconds.

Credit-saving tip

Before generating images or videos in bulk, run an A/B test with the same input on this model and similar alternatives. Confirm the result first to avoid wasting credits.

Frequently asked questions

Related models

Still deciding? Take a quick look at these similar alternatives.

Seedance 2.5

Seedance 2.5 combines a 30-second boundary, higher media counts, and video-editing reference input in one strict scene contract. Automatic duration is not underestimated at the 5-second default; Kyeo preauthorizes against the 30-second maximum.

AI video model
102–5,700 credits

Seedance 2.0

Seedance 2.0 / Capabilities — Text accepts no media; frames requires a first frame and allows a last frame; reference requires a prompt and at least one image, video, or audio reference. Reference media cannot be sent with endpoint-frame fields. Seedance 2.0 supports three mutually exclusive text, frame, and multimodal-reference scenes. The current callable output set is 720p, 1080p, and 4K for 4–15 seconds; video-reference requests are available only at 1080p or 4K because those are the current priced combinations. 164–3,840 credits per request

AI video model
164–3,840 credits per request

Seedance 2.0 Fast

Seedance 2.0 Fast / Capabilities — Text accepts no media; frames requires a first frame and allows a last frame; reference requires a prompt and at least one image, video, or audio reference. Reference media cannot be sent with endpoint-frame fields. 480p/720p · 4–15 · 41–450 credits per request.

AI video model
41–450 credits per request

Sources

This page is based on vendor materials, model-family documentation, and Kyeo AI integration settings.

Source note

This page uses reviewed public Runway material and the currently available site scope to document base generation, image limits, pricing, and Extend eligibility.

Last updated: 2026-08-28
Runway: current API model directory
Official
Open original source