The SkyReels V4 prompt generator gives you 20 free, copy-ready prompts for the first open-source AI model to generate video and audio together in one pass. Waves that crash with the right sound. Piano keys that produce real notes. Audio locked to every visual event — no post-production needed.
The SkyReels V4 prompt generator on this page provides 20 free, professionally crafted prompts for SkyReels V4, the open-source AI video model released by SkyWork AI in April 2026. SkyReels V4 is the first open-source model to generate synchronized video and audio in a single generation pass — meaning the model creates both the visual content and the corresponding soundscape simultaneously, with audio events locked to their visual causes.
Every previous open-source AI video model generates silent video. Audio is either absent, added manually in editing, or generated by a completely separate model with imprecise synchronization. SkyReels V4 changes this: it understands the relationship between visual events and sound within the prompt itself. A wave crash produces a crash. A hammer strike produces a ring. A piano key produces a note in the correct acoustic space of the room shown. The model topped the Artificial Analysis T2V-with-audio leaderboard at launch — the only benchmark specifically measuring synchronized audio-visual generation quality.
Every prompt below is structured for SkyReels V4's audio-visual synthesis: each describes both the scene and the expected soundscape in detail, with audio timing cues and production quality references. Paste directly into SkyReels V4 via ComfyUI, fal.ai, or the HuggingFace API.
SkyReels V4 is the first model where your audio description directly shapes the output. Use this framework:
Click any prompt to copy — paste into SkyReels V4 via ComfyUI, fal.ai, or the HuggingFace API
A static wide-angle shot from a sea cliff at dusk during a storm: 8-metre waves crash against the rocks below and explode upward in white foam, spray reaching the lens. The sky is deep purple-grey with fast-moving cloud. Audio: the full deep boom of each wave impact, wind howling at 60 km/h, distant thunder rumbling on the third second. The sound and visual impact of each wave are precisely synchronized — you hear the crash exactly as it hits. BBC Earth quality. 12 seconds.
Intimate hand-held footage of a jazz quartet performing in a small underground club at midnight. The camera drifts from the upright bass player's hands to the drummer's brushwork, to the pianist's left hand on the keys. The room is amber-lit, smoke in the air, 20 people listening. Audio: the full live acoustic mix — bass resonance, brush-on-snare, piano mid-notes, and the ambient murmur of the room. Every visual instrument contact is synchronized with its sound. 15 seconds.
A steady tripod shot of a 30-metre Highland waterfall at dawn, mist rising off the plunge pool, golden light catching the spray on the right side. The water has visible volume and weight as it hits the pool below. Audio: the deep, layered roar of falling water — the high-frequency spray, the mid-frequency rush of the column, the low-frequency impact on the pool. The audio builds as the camera slowly zooms in over 12 seconds. National Geographic quality.
A pedestrian-level shot of Shibuya Crossing at 8:45 AM: hundreds of people crossing from all directions, umbrellas visible as rain has just stopped, the pavement still wet. Audio: the crowd footstep mass, the crossing signal chime, distant train announcement in Japanese, a bicycle bell, the city hum of engines and tram overhead. Each distinct sound source is spatially placed in the mix. 12 seconds of documentary authenticity.
A static shot of a rural road cutting through a wheat field during a severe thunderstorm: the road stretches to the horizon, the field bending in waves under 80 km/h wind, rain falling sideways, and then a lightning bolt strikes a tree line 400 metres away. Audio: the constant rain, wind gusts that shift in volume, then the lightning flash is immediately followed by a sharp crack and rolling thunder — the time delay between flash and thunder is physically accurate. 15 seconds.
A close low-angle shot of a campfire in an alpine meadow at night, the fire the only light source. Pine trees ring the edge of the meadow. Stars visible above. Audio: the exact crackling and pop of burning pinewood — each pop synchronized with a spark shooting upward, the low roar of the main flame, wind rustling the pine needles in the distance, the intermittent hiss of a green log releasing moisture. 12 seconds of pure sensory atmosphere.
A platform-level shot at a period railway station: a steam locomotive arrives from the left, decelerating into frame, steam billowing from the wheels and chimney. A guard in uniform stands watching. Audio: the locomotive's distinct rhythm slows — piston chuff, wheel screech on rails, the hiss of steam brakes releasing, the station bell, doors opening and passengers spilling out with suitcases. Every mechanical sound is locked to its visual source. BBC period drama quality. 15 seconds.
Extreme macro footage inside an active beehive: bees moving over comb cells, capping and uncapping, the temperature-movement of a colony at work. The camera holds still for 10 seconds then slowly pulls back to reveal the full hive frame. Audio: the precise tonal hum of the colony — a frequency shift as the colony responds to the light intrusion, individual bee wing-buzz distinguishable, the waxy comb being worked. Natural World documentary quality. 12 seconds.
A documentary wide shot of a central city construction site during demolition: a large pile driver strikes the ground at regular intervals, dust rising from each impact. Workers with hard hats move around the periphery. Audio: the pile driver impact is the anchor — a massive percussive thud on every visual strike, followed by structural vibration echo off the surrounding buildings, distant traffic, and the reversing beep of a concrete lorry. 12 seconds of synchronized industrial audio.
A Steadicam shot moving slowly around a pianist performing alone on a concert stage in an empty hall. The camera starts behind, moves to the right to capture their face in profile, then pulls back to reveal the full hall with its empty wooden seats stretching back. Audio: the piano sound fills the hall — both the direct instrument sound and the hall's acoustic reverb, the sustain pedal's subtle mechanical click, the audience silence amplifying every note. 15 seconds.
A rooftop helipad shot: a news helicopter descends toward camera from a high angle, rotors creating visible downwash that flattens everything on the pad, landing lights on. It touches down at the 8-second mark. Audio: the full approach — the rotor whump growing from distant to overwhelming, the high-frequency turbine scream, the rpm change as it reduces power on touchdown, wind gusts hitting the camera. Every audio element is locked to the visual distance of the helicopter. 15 seconds.
Underwater camera captures the salmon run: dozens of salmon fighting upstream through a shallow rapid, their flanks catching light, some leaping through the white water, others struggling against the current. Audio: the full aquatic soundscape — rushing water distorted by the underwater mic, the occasional splash of a leaping fish breaking the surface, the gravelly roll of river stones. BBC Blue Planet aesthetic, natural hydrophone audio. 12 seconds.
A slow tracking shot along a row of copper pot stills in a working Scotch whisky distillery: the stills gleam under warm lighting, steam visible at one connection point, the distiller checks a valve with practiced precision. Audio: a rich layered ambience — the rhythmic drip of spirit into the spirit safe, the low hiss of steam lines, hollow metallic resonance of the copper when a tool taps a still, the distant rumble of a pump. 15 seconds of sensory commercial quality.
A fixed street-level puddle shot during an intense urban rainstorm: rain impacts the puddle surface in thousands of tiny crowns simultaneously, ripples overlapping, a pair of running feet splash through frame at the 6-second mark. Audio: the full percussion of rain — each impact on the water surface is audible as part of a collective roar, the distinct drumming on a metal awning above, the rush of water in a street drain nearby, traffic hiss on wet asphalt. 12 seconds.
A walking-pace observational shot through a Marrakech souk at noon: spice stalls in saturated colours, a vendor pouring tea from a great height, another hammering copper trays, children running past. Audio: the market's acoustic layering — tea poured into a glass is heard at close range, hammering has metallic ring and delay, Arabic conversation fragments, a donkey bell in the distance, a call to prayer beginning at the 8-second mark. Immersive documentary spatial audio. 15 seconds.
A track-level camera at a motorsport circuit captures the race start: 20 cars on the front straight accelerating from standing to 150 km/h in 4 seconds, tyres screeching briefly on the first corner, the pack tightening. Audio: the roar of 20 engines synchronized with their visual positions — the camera closest cars are loudest, those farther back are appropriately quieter, the combined frequency is accurate to the V8 class being shown. No music. 12 seconds.
A boat-mounted camera captures a glacier calving: a section of ice face the size of a building fractures and falls into the sea, a white plume rising, a small tsunami wave radiating outward. Audio: the audio arrives 2 seconds after the visual — because sound travels slower than light across the 600-metre distance — then a deep crack, a prolonged rumble, the wave hitting the hull, birds disturbed from the ice shelf calling. The audio delay is physically accurate. BBC Earth quality. 15 seconds.
A craft coffee roastery: the drum roaster turns, dark beans visible through the glass, the operator checks a probe thermometer, and at the 8-second mark opens the drum and the beans cascade into the cooling tray in a rushing pour. Audio: the drum rotation, the crackle of beans at second crack, and the cascade pour — a rushing, hollow mass of beans striking the metal cooling tray — synchronized precisely with the visual drop. Monocle-quality commercial atmosphere. 12 seconds.
A wide crane shot descends toward a full symphony orchestra at the climax of a first movement: the conductor's baton is at full extension, every section playing at forte, string bows in unison, brass bells raised. Audio: a full concert hall acoustic — the 90-piece orchestra fills the dynamic range, the bass drum at the visual downbeat is synchronized precisely, the hall's resonance adds 1.8 seconds of natural decay to the sustained chord. 15 seconds of performance audio-visual lock.
A static wide shot of a beech forest in peak autumn colour during a sustained 40 km/h wind: the canopy moves in continuous waves, leaves detach and spiral in arcs across the frame, the whole visible forest rhythmically flexing. Audio: the wind through thousands of leaves is the dominant sound — it layers into a collective sigh that shifts in volume and pitch as gusts vary, individual leaf-rustle audible in quieter moments, a branch creak on the 10-second mark. 15 seconds.
SkyReels V4's unique advantage is the combination of open-source access and native audio generation:
| Model | Open-Source | Native Audio Sync | Best For |
|---|---|---|---|
| SkyReels V4 (SkyWork) ★ | Yes | Yes — #1 T2V-with-audio | Audio+video sync, open-source, commercial use |
| HappyHorse-1.0 (Alibaba) | No | No (silent video) | Highest raw video quality, cinematic realism |
| Kling 3.0 (Kuaishou) | No | No (silent video) | Multi-shot sequences, cinematic storytelling |
| Veo 3.1 (Google) | No | Partial (separate step) | Photorealistic single shots, Google ecosystem |
| Wan 2.7 (Alibaba Tongyi) | Yes — 27B | No (silent video) | Thinking Mode, local inference, fine-tuning |
★ SkyReels V4 is #1 on the Artificial Analysis T2V-with-audio leaderboard (April 2026). Available open-source on HuggingFace under a commercial-use licence.
The SkyReels V4 prompt generator on this page provides 20 free, professionally crafted prompts for SkyReels V4, the AI video model developed by SkyWork AI and released in April 2026. SkyReels V4 is the first open-source AI video model to generate synchronized video and audio in a single pass — meaning it creates both the visual content and the corresponding soundscape simultaneously, with audio locked to visual events rather than added as a separate layer.
SkyReels V4 is an open-source AI video generation model developed by SkyWork AI, released in April 2026. It is the fourth major version of the SkyReels series and represents a significant leap: it is the first open-source model to produce video and audio together in one generation pass. Prior video AI models (including HappyHorse, Kling 3, and Wan 2.7) generate video only — audio is either absent or added separately in post-production. SkyReels V4 generates the audio as part of the same model output, with sounds synchronized to their visual sources.
Most AI video models generate silent video, with audio handled by separate tools or manually in editing. SkyReels V4 generates audio and video simultaneously from the same prompt — which means the model understands causality between visual events and sound. A wave crashing creates a crash sound at exactly the right moment. A piano key pressed produces a note in the correct acoustic space. The audio is not generic ambient background — it is event-locked to specific visual actions in the generated video. This is the defining capability that earned SkyReels V4 the #1 position on the Artificial Analysis T2V-with-audio leaderboard.
SkyReels V4 prompts should describe both the visual scene and the audio environment explicitly. Structure: (1) Camera type and position — 'static wide-angle,' 'hand-held tracking shot,' 'macro close-up'; (2) Visual subject and action — described in concrete physical terms; (3) Environment and lighting — time of day, weather, light direction; (4) Audio description — describe the specific sounds you expect, their source, their volume relationships, and any timing triggers (e.g., 'the sound of the wave arrives 0.3 seconds after the visual impact'); (5) Duration — SkyReels V4 uses this to pace the audio envelope; (6) Production quality reference — 'BBC Earth,' 'Dolby Atmos spatial audio.' The more precisely you describe the audio, the more locked the output will be.
SkyReels V4 model weights are available open-source on HuggingFace under SkyWork AI's repository. It can be run via ComfyUI with the SkyReels V4 node, through fal.ai and Replicate APIs for cloud inference, and on Alibaba Cloud's ModelScope. Local inference requires a high-VRAM GPU (24GB+ recommended for full quality). The model is released under a permissive open-source licence allowing commercial and research use, making it the only commercial-use-permitted audio+video generation model available without per-clip API fees.
SkyReels V4 is the only model in this comparison that generates synchronized audio. HappyHorse-1.0 and Kling 3.0 produce higher raw video quality on the Artificial Analysis leaderboard, but they output silent video. Veo 3.1 has some audio generation capability but it is not natively synchronized in a single pass the way SkyReels V4 is. For creators who need video-and-audio together — documentary, brand content, social media with native sound — SkyReels V4 has no true competitor in the open-source space. For raw video quality alone (silent), HappyHorse and Kling 3 currently lead.
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