Usage Guide
HappyHorse-1.0 AI VideoPrompt Guide
Everything you need to get better results from HappyHorse-1.0 — prompt formulas for T2V and I2V, cinematic lighting and motion vocabulary, style references, and real demo videos for each technique.
Last updated: April 2026. Tested with HappyHorse-1.0 using live demo prompts and production-style wording.
What HappyHorse-1.0 Does
Key Capabilities
HappyHorse-1.0 supports both Text-to-Video and Image-to-Video generation with native audio sync, 8-step inference, and 1080p output.
Cinematic Visual Control
Fine-grained control over lighting, color grading, and composition. Whether you need studio-clean product shots or atmospheric narrative scenes, the model handles both with high fidelity.
Fluid, Large-scale Motion
Realistic character movement, dynamic sports sequences, and subtle facial expressions — all rendered with smooth, natural motion that holds up at full speed.
Strong Prompt Adherence
HappyHorse-1.0 follows complex prompts accurately, even in scenes with multiple subjects, interactions, and layered instructions. What you describe is what you get.
Core
Prompt Formulas for Text-to-Video and Image-to-Video
Your prompt is the primary way to guide HappyHorse-1.0. It shapes everything from subject and motion to atmosphere and style. The more specific and detailed your description, the closer the output will match your vision. Here are two prompt formulas — one for quick starts, one for precise control:
Basic Formula
Ideal for first-time users or anyone exploring freely. Short, open-ended prompts give the model room to interpret — and often produce surprisingly creative results.
Formula: Subject + Scene + Motion
- Subject:The main focus of the video — a person, animal, plant, object, or entirely imagined entity.
- Scene:The environment surrounding the subject. Can be a real-world setting or a fictional, invented space.
- Motion:What moves and how. Covers the subject's own movement as well as ambient motion — from stillness to sweeping full-frame action.
Image-to-Video Formula
In I2V mode, the uploaded image locks in the subject, scene, and visual style. Your prompt only needs to drive the motion and camera behavior.
Formula: Motion + Camera Movement
- Motion Description:Describe what moves and how — referencing elements already in the image (people, animals, objects). Modifiers like "quickly" or "slowly" control intensity.
- Camera Movement:Specify camera behavior with terms like "camera push in", "pan left", or "crane up". To keep the shot locked, use "fixed camera".
Advanced Formula
For users who want precise control over the output. Layering subject detail, scene atmosphere, motion specifics, aesthetic cues, and visual style consistently raises video quality and emotional impact.
Formula: Subject (Subject Description) + Scene (Scene Description) + Motion (Motion Description) + Aesthetic Control + Stylization
- Subject Description:Appearance details using adjectives or short phrases. For example: "a black-haired Miao girl in ethnic minority clothing" or "a winged fairy in worn, ornate garments with wings made from ruins fragments."
- Scene Description:Environmental details — textures, colors, spatial qualities, and atmosphere of the setting.
- Motion Description:Specifics of how things move: intensity, speed, and physical effect. For example: "swaying violently", "drifting slowly", "shattering glass on impact".
- Aesthetic Control:Camera and lighting language: light source, shot size, lens type, camera movement. See the Cinematic Aesthetics section below for reference terms.
- Stylization:Visual style keywords such as "cyberpunk", "ink wash illustration", or "post-apocalyptic". See the Advanced Features section for more style options.
If you are still learning the interface, read How to Use HappyHorse AI first, then return here to improve prompt precision and cinematic control.
Control
Cinematic Lighting and Aesthetic Prompt Examples
Each prompt dimension below targets a distinct visual quality — lighting source, lighting type, or time of day. Use these examples as reference, and combine them freely to develop your own look.
*All video effects are generated with HappyHorse-1.0.*
Light
Light Source Type
Different light sources can dramatically change the mood and realism of your video.
Daylight
Edge light, low contrast, medium close-up, daylight, left-side composition, clean single shot, warm tones, soft light, sunny day, side light, daytime. A young girl sits in a field of tall grass with two fluffy little donkeys behind her. The girl, about eleven or twelve, wears ethnic clothing, black hair in two braids, and an innocent smile. She sits cross-legged, gently touching wildflowers. The donkeys are sturdy, upright-eared, curiously looking at the camera. Sunlight falls on the field, creating a warm, natural atmosphere.
Artificial Light
Edge light, medium close-up, artificial light, side light, low saturation, warm tones, right-side composition, over-the-shoulder shot. The camera focuses on a foreign girl in a blue and white checkered shirt, with defined features and bright eyes. A few strands of hair fall from her neat ponytail, adding softness. She tilts her head, lips slightly parted, as if listening. The background is a dimly lit room with a vintage table lamp providing soft side light, illuminating her outline. A black wooden door is faintly visible, adding mystery and depth.
Moonlight
Moonlight. A young woman stands in an old-fashioned room with mottled tile walls and an old wooden door. She has short black hair, slender eyebrows, and deep blue eyes that look profound in the faint moonlight, with a focused, contemplative expression. She wears a black top with a white collar, hands down, body slightly turned, gazing off-camera with a tight-lipped, emotional look. Indoor light comes from moonlight through the window, casting soft shadows on her face and enhancing the scene's tranquility and tension. The camera focuses on her expression, creating an intimate, storytelling frame.
Light
Light Type
Light type affects the contrast, softness, and overall mood of the scene.
Soft Light
Sunset, soft light, side light, edge light, warm tones, low saturation, center composition, medium close-up, eye-level shot. A foreign man and woman stand beside a yellow taxi in a half-body shot. The man wears a beige trench coat, hands in pockets, smiling and leaning forward. The woman wears a green beret, matching dress, and lace gloves, elegantly holding the man's arm. The background shows vintage buildings, two green street lamps emit warm halos, and a policeman stands in the distance. Light comes from the right, creating soft edge light and a warm, natural atmosphere.
Hard Light
Hard light, side light, medium shot, low saturation, high contrast, medium focal length. Eye-level shot of a foreign man in close-up, wearing a striped shirt, sitting at a wooden table with folders and a red telephone. He crosses his arms, head resting on the wall, eyes closed, mouth slightly open as if speaking. There's a blurred figure in the foreground. The background is a dark wooden wall with paintings and decorations, creating a quiet, contemplative mood.
Top Light
Top light, clean single shot, telephoto, close-up. Eye-level shot of a foreign woman's face with brown hair and eyebrows, green eyes, slightly wide nose, mouth slightly open showing teeth. She has two wounds on her forehead with blood seeping out, and a few drops of blood on her left cheek. She looks to the upper right, mouth slightly open then closes. The background is a blurred red wall, overall dark tone.
Time
Time Period
The time of day changes the color, mood, and lighting of your video.
Daytime
Sunrise, daytime, soft light, side light, edge light, medium close-up, center composition, warm tones. A white woman sits on a white bed wearing a blue and white checkered cotton top with messy, fluffy golden-brown wavy hair, looking slightly tired with soft eyes toward the camera as if conversing. Sunlight pours through beige curtains, creating soft light and shadow on the sheets and walls. White iron railings surround the window, creating a peaceful, cozy indoor atmosphere. The camera focuses on her upper body with a blurred background to highlight the subtle interaction between emotion and environment.
Night
Practical light, high saturation, mixed light, night, top light, soft light, wide shot, symmetrical composition, wide angle. Eye-level wide shot of two foreigners sitting at a table talking in dim lighting. The man on the left wears a green sweater and white pants, looking focused at the woman on the right. The woman wears a striped shirt and blue jeans, holding a book or folder. Their surroundings have a vintage feel with old-fashioned furniture, chandeliers, and curtains. The table has various items placed on it.
Control
Camera and Motion Prompt Examples
Use motion prompts to direct both subject behavior and camera travel. This section focuses on movement language that improves pacing, scene energy, and cinematic clarity in HappyHorse-1.0 outputs.
Movement
Movement
Control the type and intensity of movement to create dynamic and expressive video scenes.
Street Dance
A group of energetic, stylish hip-hop dancers perform street dance on a wide stage illuminated by vibrant neon lights. Their figures are surrounded by side lighting, forming halos. A wide cinematic shot captures their synchronized steps, lively energy, and youthful expressions. Fast-paced camera work matches the music beat, showcasing complex footwork, explosive moves, and team coordination.
Running
A sprinter with a strained face from exertion, facial muscles tight, jaw clenched, wearing a thin athletic vest and shorts, professional spikes, sprints at incredible speed at the finish line of a 100-meter track! Body leans forward, head thrusts out, arms swing with maximum amplitude and frequency, one leg pushes off explosively, the other strides forward. Chest breaks the finish line. The background is a blurred track and audience, timer shows the key time, and the finish tape is clearly visible.
Emotion
Character Emotion
Control the emotional state of characters to enhance storytelling and atmosphere.
Anger
A battle-hardened warrior, face and body covered in mud and scars, wearing heavy leather armor and fur. In a rainstorm, he stands alone on a muddy battlefield, staring ahead in anger.
Fear
In a dark room, only the faint light of a phone screen illuminates a young woman's face. Her pupils are dilated in extreme fear, lips slightly parted but unable to make a sound. Cold sweat drips from her forehead, down her temple, slowly across her stiff cheek.
Camera
Basic Camera Movement
Control the camera's movement to guide the viewer's focus and create cinematic effects.
Camera Push-in
In a dimly lit room, a detective sits at a desk and opens a file folder. As he sees the contents, the camera pushes in for a close-up of his pupils contracting by 30%, and his expression becomes tense.
Camera Pull-out
A soft, round animated character with a curious expression wakes up to find their bed is a giant golden corn kernel. The camera pulls out to reveal the room is a huge corn silo, echoing with sound. Corn kernels are piled into towering walls, and a beam of warm sunlight streams through a high window, casting long shadows on the floor.
Control
Advanced Prompt Features: Composition and Color Grading
Composition
Scene Composition
Design the spatial arrangement and visual storytelling of your scene.
Felt Style
Golden hour sunlight, soft lighting, medium-wide angle, low perspective, warm tones. A whimsical village sits at the base of a giant hollow tree trunk, surrounded by lush greenery and mushrooms. Little felt goblins with wool hats drive a miniature wooden train along mossy tracks. The train, pulled by a small engine, carries acorns and berries in tiny carts. Sunlight filters through the leaves above, casting soft shadows and highlighting the rich textures of bark and foliage.
3D Cartoon
3D cartoon style, a surreal dream where everything is made of corn. The protagonists ride a corn train through giant corn cobs and kernels. The scene is bathed in warm golden light, enhancing the dreamlike quality. Characters wear rustic clothing and show wonder and curiosity as they travel through this whimsical world. The corn train moves smoothly, its wheels made of perfectly shaped kernels, creating a playful and enchanting atmosphere.
Color
Color Grading
Adjust the color palette and tone to set the mood and atmosphere of your video.
Tilt-shift Photography
Tilt-shift photography, high-angle view of a city corner, focusing on a bustling intersection where vehicles and pedestrians weave together, forming a dynamic urban rhythm. Traffic lights flash alternately, guiding the flow. Building edges are sharp, colors vivid, as if a delicate model. Neon signs and shopfronts line the streets, adding a magical miniature world feel. The whole scene is rendered to highlight the unique visual impact of tilt-shift, like observing a busy yet orderly mini urban ecosystem.
Time-lapse
Time-lapse, dusk, sunset, edge light, medium-wide shot, side light, warm tones, soft light, moderate contrast, center composition. In the shot, an anthropomorphic metal robot walks on a busy city street. Its shell has a silvery sheen, body structure is precise, and joints have fine mechanical textures. The robot is about two meters tall, with an oval head and two faintly glowing blue sensors as eyes. Its arms swing naturally, steps steady, and leg joints emit a slight hydraulic sound. On both sides of the street are tall glass buildings, the afterglow of the setting sun casts soft rim light on the buildings and robot. Pedestrians move in the blurred background, adding to the urban rhythm. The ground is covered with dark asphalt, some areas reflecting the sky and buildings.
For model-level context on quality, speed, and when to choose HappyHorse over Seedance, see the full comparison page.
FAQ
HappyHorse-1.0 Prompt Guide FAQ
These quick answers cover the most common search questions about writing better HappyHorse-1.0 prompts for T2V and I2V.
A strong T2V prompt usually combines subject, scene, motion, camera, and mood. Specific visual and motion details give HappyHorse-1.0 clearer creative direction.
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