BLACK MIRROR TIDEFLATS / THE COLLAPSING SEA-CATHEDRAL Style: 8K cinematic. Photorealistic — no 3D render, no game engine, no game-cutscene aesthetic. Cinematography: naturalistic master cinematography. Lighting: high-contrast dramatic light. Cold storm-blue dusk across the flats vs. blinding sodium-orange furnace glow pouring from the toppling structure. The wet mirror surface doubles every light source into a second inverted world. Color: 60:30:10 — dominant gunmetal blue and wet slate (the tideflats and sky) / secondary sodium amber and rust-red (burning floodlights, corroded steel) / accent magnesium white and cobalt blue (the failing reactor core and its arc-flashes). Camera: physical cine lens. 180° shutter motion blur. Continuous handheld operator shake, motivated by the ground concussions rolling through the shallow water. Physics: gravity and inertia respected. Steel trusses buckle and fold under their own mass; spray, ash and salt mist obey atmospheric drag. SUBJECTS: @pilot: a lone figure in a salt-crusted pressure suit crewing a skeletal wind-skiff — a low wheeled land-yacht with a torn carbon sail — hunched at the tiller, cracked gold-tinted visor reflecting the falling structure, throwing twin walls of white spray from its outriggers. @cathedral: a colossal derelict sea-rig, a kilometre of rusted iron lattice and floodlight towers, listing and buckling as it collapses into the shallows, shedding burning platform decks and cobalt arc-flash from its ruptured core. LOCATION: an endless tidal flat of black volcanic glass under two inches of standing water — a perfect mirror to the horizon — broken by rotting mooring pylons and drifting curtains of salt mist, the skyline dominated by the burning collapse. ACTION — ONE CONTINUOUS TAKE, single unbroken handheld tracking shot, NO cuts, 15 seconds. 0:00–0:05 Medium-Wide on @pilot: camera tracks alongside the skiff as it carves between rotting pylons that burst into splinters and spray behind the wheels; the horizon tears open as @cathedral enters frame, leaning, trailing burning deck plates. 0:05–0:10 continuous zoom-in / tilt up: camera glides past the skiff and tilts up through the pylons onto the collapse; a core vessel detonates, the shockwave ripping the standing water into a flat sheet and bending the flare into a horizontal streak across frame. 0:10–0:15 Extreme Close-Up on @cathedral: telephoto-compressed view of the disintegrating rig against the sky, steel plate peeling and glowing white-hot, raining burning debris down toward the camera. CONSTRAINTS: 16:9 anamorphic widescreen. ONE CONTINUOUS SHOT — absolutely NO hard cuts. Telephoto compression during the zoom. No slow-motion. Photoreal throughout. AUDIO (NO MUSIC): deep structural groan of failing steel, the hiss and slap of water under the hull, tearing-metal screech from above, the rigging-hum and canvas crack of the skiff at speed, wind roar across open flats.
moreAI Video Models Production-ready video generation APIs
Build with the latest AI video models on fal. Generate production-ready video from text, images, and references through fast, scalable APIs.
Choose the right video model for your workflow
Compare current video generation models from leading providers, selected from the active fal catalog.

fal's H3 Max is a post-trained variant of MiniMax H3, tuned for stronger prompt adherence and better aesthetics while co-optimized with our custom inference stack for higher throughput with no compromises on output quality

fal's H3 Max is a post-trained variant of MiniMax H3, tuned for stronger prompt adherence and better aesthetics while co-optimized with our custom inference stack for higher throughput with no compromises on output quality

Wan 3.0 Prime Text-to-Video transforms written prompts into polished videos with accelerated generation, fluid motion, strong scene fidelity, and coherent visual storytelling. Built for fast creative iteration, it brings complex ideas to life while preserving visual detail and cinematic consistency throughout each shot.

Wan 3.0 is the latest generation AI video model, delivering enhanced motion smoothness, superior scene fidelity, and greater visual coherence.

Generate high quality 1080p videos using Kling's Turbo 3.0 model, with improved lipsync and multishot generation capabilities.

Kling's Native 4K is a video generation model that directly outputs professional-grade 4K video in one step, eliminating the need for post-production upscaling

Generate film-grade videos from text prompts with native audio, up to 1080p and 15 seconds, using PixVerse C1.

Wan 3.0 is the latest generation AI video model, delivering enhanced motion smoothness, superior scene fidelity, and greater visual coherence.

Generate high quality 1080p videos from images using Kling's Turbo 3.0 model, with improved lipsync and multishot generation capabilities.

FLUX 3 is Black Forest Labs' frontier video model. This endpoint builds video from a sequence of keyframes, generating the motion between each anchor point for precise control over how a shot progresses.

Animate images into cinematic videos with PixVerse C1, supporting 1080p resolution and native audio generation.
From an idea to a production video
Use the playground for a quick test or call the same model from your application through the API.
See what the latest AI video models can create
Explore generations from the featured models, then open an example to inspect its inputs and run it yourself.
5s Living Oil Painting | 16:9 | Impressionist Post-Painterly Texture | Sea-Cliff Wind and Scattering Blossoms FIRST FRAME: strictly preserve the reference image's original composition, palette, and brushwork. Nothing is re-rendered as photoreal — the animation must look like an oil painting in motion, visible impasto strokes and palette-knife ridges holding their identity as they move. SUBJECT: young dark-haired woman in a sage-olive long-sleeved blouse with a patterned sash, head tilted down and to her right, eyes lowered, expression calm and inward. Both bare forearms lift toward a great bundle of white chrysanthemum blooms breaking apart in the air before her. Face structure, hair mass, sleeve folds, and skin tone stay consistent throughout.
moreThe dappled light shifts gently across her face as leaves sway, a strand of hair drifts, she softly smiles and looks to the lens. The camera holds close. Photorealistic, fresh, intimate.
moreHe explodes upward out of the black. Both arms drive toward the falling apple, body twisting, white linen sleeves snapping taut then bunching as his shoulders roll. The apple tumbles fast, end over end, its stem whipping. He mistimes it — the fruit glances off his fingertips and spins away; he lunges after it, throwing his weight sideways, hair swinging across his face, eyes flashing wide. He catches it hard against his palm, the impact shoving his arm back and down, linen collapsing in loose folds. He pulls it in against his chest, breathing hard, and breaks into a grin as he looks straight into the lens. The candlelight jumps with every movement, flaring across his forearms and guttering into darkness behind him.
moreA lighthouse beam sweeps through heavy rain over black rocks at night, waves detonating against the cliff.
moreUse Image 1 for the exact explorer, outfit, stone chamber, and wooden chest. Image 2 is his face reference. Image 3 defines the purple fal cola can and label. 0–3 seconds: Wide shot. The explorer stands left, the closed chest sits right. He studies it seriously, leans forward, and reaches for the lid. The chest lock, latch, hinges, and lid must behave with normal, believable mechanical physics throughout: no warping, floating, clipping, sudden unlocking, or visual glitches. The explorer’s hand opens the latch naturally before lifting the lid, and the chest remains solid and stable. 3–5 seconds: Cut on the movement to a close-up of the same hand and blue jacket cuff lifting the lid. 5–8 seconds: Cut to an elevated close-up inside the chest: ice and cold fal cola cans. His hand lifts one can with the label facing camera. Hold long enough to recognize the unexpected treasure. 8–10 seconds: Cut back to his face at the original profile angle. A subtle mix of surprise, cautious curiosity, and quiet approval, like he is processing that the chest held something absurd but genuinely useful. but the fal cola is out of shot and cuts back to his face Preserve the original face, clothing, dark exposure, pale side lighting, cool shadows, coarse film grain, and soft detail. Steady camera and simple cuts. No dialogue, text overlays, or magical effects. Quiet room ambience, wood creak, and ice sounds; a short, cheerful original advertising jingle enters after the cola reveal.
moreTight close-up portrait of a Gen Z fashion model, early twenties, dewy glass-skin complexion with a light dusting of faux freckles, glossy bitten-lip stain in a muted berry tone, fluffy laminated brows, and a single pearl-studded graphic liner flick in chrome silver across one eyelid. Her hair is slicked back into a sleek low bun with two soft face-framing tendrils, small silver butterfly clips catching the light. She wears oversized vintage-style chrome chandelier earrings and a sheer mesh high-neck top layered under a cropped leather moto jacket. The camera holds an extreme close-up on her face, then slowly arcs around her in a subtle 45-degree orbit as she tilts her chin down, cuts her eyes directly into the lens with a confident deadpan stare, and exhales softly. A gentle breeze lifts the loose strands of hair across her cheekbone. Lighting is soft neon-tinged — cool lavender key light from the left blending into a warm peach rim light from the right, creating a duotone gradient across her skin. Background is an out-of-focus wash of deep magenta and teal bokeh. Cinematic editorial fashion aesthetic, shallow depth of field, 85mm lens compression, subtle film grain, photorealistic, 24fps, reminiscent of a modern i-D Magazine or Vogue Beauty film.
moreminecraft creative mode but in real world. in new york city.
moreThe model strides forward, the sculptural gown moving with her, camera flashes popping in the dark crowd, reflection sliding on the floor. The camera tracks backward ahead of her. Photorealistic, dramatic, glamorous.
moreTight close-up portrait of a Gen Z fashion model, early twenties, dewy glass-skin complexion with a light dusting of faux freckles, glossy bitten-lip stain in a muted berry tone, fluffy laminated brows, and a single pearl-studded graphic liner flick in chrome silver across one eyelid. Her hair is slicked back into a sleek low bun with two soft face-framing tendrils, small silver butterfly clips catching the light. She wears oversized vintage-style chrome chandelier earrings and a sheer mesh high-neck top layered under a cropped leather moto jacket. The camera holds an extreme close-up on her face, then slowly arcs around her in a subtle 45-degree orbit as she tilts her chin down, cuts her eyes directly into the lens with a confident deadpan stare, and exhales softly. A gentle breeze lifts the loose strands of hair across her cheekbone. Lighting is soft neon-tinged — cool lavender key light from the left blending into a warm peach rim light from the right, creating a duotone gradient across her skin. Background is an out-of-focus wash of deep magenta and teal bokeh. Cinematic editorial fashion aesthetic, shallow depth of field, 85mm lens compression, subtle film grain, photorealistic, 24fps, reminiscent of a modern i-D Magazine or Vogue Beauty film.
moreCreate a 5-second live-action Hollywood film shot in a bright university library. A thoughtful professor stands in a medium shot, turns slightly toward an unseen student, and calmly says, “What is the real?” Natural daylight, professional cinema camera, realistic performance, subtle camera drift, no close-up, no dark lighting, perfect lip sync.
moreWhat can you build with AI video models?
Generate and transform video without managing model infrastructure.
Turn concepts into moving scenes
Generate cinematic shots, storyboards, and visual sequences from scripts, prompts, and reference frames.
Produce campaign video faster
Create social clips, product videos, and localized campaign variations without managing model infrastructure.
Build video generation into your product
Add text-to-video, image animation, reference-guided generation, and video utilities to automated workflows.
Prepare generated video for production
Trim, resize, blend, and reverse video with hosted utility endpoints that compose with your generation workflow.

FFMPEG Utility for Trim Video

FFMPEG Utilities to Scale Videos

FFMPEG Utility for Blending Videos

FFMPEG Utility to Reverse Videos
Common questions about AI video models
Which AI video model should I choose?
Choose based on your input, output quality, speed, duration, audio, and control requirements. Open a featured model to compare its schema, pricing, and examples before integrating it.
Can these models generate video from text and images?
Yes. fal hosts text-to-video, image-to-video, reference-to-video, and keyframe-to-video endpoints. The supported inputs and controls vary by model.
Can I use AI video models through an API?
Yes. Every featured model has a hosted fal API and an interactive playground. Open a model to review its request schema, pricing, and code examples, or create an API key from your dashboard.
Do AI-generated videos include audio?
Some models generate synchronized audio natively, while others return silent video. Check the selected endpoint's schema and model description for its audio capabilities.
What video utilities are available?
fal provides hosted utilities for common post-processing tasks including trimming, scaling, blending, and reversing video. They can be composed with generation endpoints in a production workflow.