Learn how to write stronger prompts for LTX-2 on RunDiffusion to improve video quality, motion control, and creative consistency.
Start prompting above, or click on an image below to start generating with LTX-2
"A dolly-around inside a gilded ballroom where a model in 1960s glamour attire – satin column dress, beehive hair – stands beneath a crystal chandelier. 35mm lens captures complex reflections across mirrors and polished floors. Motion remains controlled and smooth."
"A slow crane-up inside a Victorian-style conservatory where wrought-iron frames support expansive glass roof modules. Early sunlight scatters through condensation, illuminating dense botanical collections. Shot on a 35mm lens with warm natural tones. Movement remains smooth as parallax reveals layered foliage and cast-iron ornamentation without exposure shifts."
"Mediterranean cliffside villa at golden hour, cinematic wide exterior reveal of terraced limestone forms and sea breeze moving slender curtains, slow dolly-out from terrace to ocean horizon, 35 mm, f/4, warm color grade, smooth gimbal, natural motion blur at 50 fps, avoid flicker in highlights."
"Inside a high-end penthouse living room with dark stone surfaces, deep leather-paneled walls, and bronze-trimmed floor-to-ceiling windows overlooking a nighttime cityscape glowing with distant lights; a polished stone coffee table sits in front, dim warm ambient lighting accentuates textured walls and rich materials; the camera slowly pushes in and tracks sideways from window toward seating area, with soft focus and subtle depth-of-field, warm cinematic realism, gentle interior light flicker as if from dimmed chandelier, avoid harsh noise or distortions."
"A slow dolly-in along a night garden runway where a model in a bioluminescent-style dress emits soft cyan highlights across surrounding foliage. Mist drifts through the scene, catching narrow backlights. A 40mm lens captures environmental glow and controlled bloom. Camera motion is steady with natural parallax as the dress’s illuminated accents react to airflow. Rich cinematic blues maintain consistent exposure."
"A warm, jewel-toned hospitality lounge with patterned wallpaper, carved wood accents, velvet seating and ornate rugs, tall arched doorways with warm sconce lighting casting cozy shadows, lush potted palms adding exotic flair; camera begins at rug-level close-up of ornate pattern then slowly lifts and cranes back to reveal full seating arrangement and arches, ambient golden lighting, rich texture emphasis, cinematic exotic visualization, gentle camera movement, avoid flicker or moiré."
"A lateral tracking shot following a model wearing reflective nylon streetwear under neon signage in a rain-slick alleyway, each step casting soft ripples of color onto the fabric. Shot on a 35mm lens with high-saturation urban palette, the camera glides parallel with smooth gimbal stabilization. Ambient reflections blend into cool blues and magentas. Water vapor rising from street grates adds atmospheric layering. Motion blur is controlled, with zero jitter on specular highlights."
"A soft tracking shot through an Andalusian bathhouse lit by sunbeams entering star-shaped ceiling perforations. Camera moves slowly across tadelakt-plastered chambers, warm vapor humidifying glowing surfaces. A 35mm lens renders subtle gradients in the polished walls, while shallow pools reflect punctured light patterns. Motion is gentle, emphasizing the tranquil acoustics of water. No flicker appears across dim-to-bright transition zones."
How to Write Cinematic Prompts for Image to Video and Text to Video on RunDiffusion
LTX-2 on RunDiffusion interprets prompts like a cinematographer would direct a scene. Whether you start with an image or just a concept, your words guide how the camera moves, how the light behaves, and how characters or environments react. This guide teaches you how to write strong prompts for both Image to Video and Text to Video using LTX-2. LTX-2 is now available on RunDiffusion.
Rule: Describe the scene in one flowing paragraph without line breaks, lists, or fragmented thoughts.
Example Prompt
A lone fisherman rows across a foggy lake before sunrise, the boat creaking softly as water laps at its sides. The camera glides overhead, tracking his slow progress. His lantern casts a warm circle of light, reflecting in ripples while reeds sway gently on the shoreline. A distant bird call echoes as mist rolls across the surface, partially obscuring the horizon.
Rule: Describe all action in present tense. Use walks, tilts, flickers not walked or tilted.
Example Prompt
A young boy runs barefoot across a wet stone courtyard as the first raindrops begin to fall. The camera tracks behind him at low angle, catching the splashes beneath his feet. He turns sharply, arms outstretched for balance, and laughs as thunder rumbles overhead. His clothes cling slightly from the damp, and puddles reflect the flickering lanterns lining the perimeter.
Rule: Clearly describe the camera’s perspective, angle, movement, and speed.
Example Prompt
A florist arranges bouquets at an outdoor stall along a cobbled street while morning light spills between nearby buildings. She lifts a bundle of tulips and rotates it slightly as the stems are trimmed with quick, practiced motions. The camera begins in a wide shot from across the street, then slowly pushes forward at shoulder height as pedestrians blur in the foreground. Her hands shift the bouquet to a metal bucket, droplets falling to the pavement below as she steps to one side. A passing bicycle crosses the frame just before the shot settles into a close-up of her arranging sunflowers by hand.
Rule: Use small, measurable movements, gestures, and posture changes. Describe what the camera sees.
Example Prompt
A woman stands at a kitchen counter slicing vegetables. Her right hand grips the knife while her left hand presses gently against the cutting board. Her eyebrows lift approximately two millimeters as she hears a creak behind her, and the blade pauses mid-air. The camera holds in a medium close-up with shallow depth of field, capturing the tension in her wrist and the stillness of the hanging lights above.
Rule: Describe lighting, air, textures, sound, and ambient elements that enhance the tone.
Example Prompt
A young woman stands at the edge of a rocky cliff overlooking the ocean. She raises her hands while seagulls fly overhead. Pale blue light from an overcast sky diffuses across the scene, softening the edges of distant waves and casting no sharp shadows. The camera begins in a medium shot behind her, then slowly pulls back to reveal tall grasses swaying at the cliff’s edge. A cool breeze ripples through her hair while.
Rule: Use connectors like “as,” “then,” or “while” to ensure each action flows naturally into the next.
Example Prompt
A pair of elevator doors slide open inside a metallic corridor on a spaceship as thin mist rolls out from the floor vents. As the camera begins in a stationary wide shot, a tall alien figure wearing a white uniform steps forward through the haze, its silver-blue skin reflecting soft red light from the control panels overhead. Then the camera glides sideways, following the alien’s stride as it moves across the deck toward a glowing console. Its fingers rise slightly while the lights flicker in sequence, illuminating rows of suspended pipes above. The alien pauses to examine the console’s surface just before the elevator doors close behind it, sealing the room in a rhythmic hum of engines and distant vibration.
Rule: Match the tone and vocabulary to your intended genre (sci-fi, horror, romance, fantasy, etc.)
Example Prompt (Sci-Fi)
A maintenance drone glides through a long tunnel inside a deep space cargo vessel, its circular frame rotating gently as it shines beams of light on the the walls. The camera floats alongside in a slow tracking shot, matching its speed. A soft mechanical hum blends with distant low thrum of the ship’s reactor core. Red text scrolls across its display screen while ceiling lights dim in sequence, casting the corridor in alternating shadows as the drone continues forward through the narrowing passage.
Rule: Use age, ethnicity, clothing, posture, or distinguishing physical details—only if they’re observable.
Example Prompt
A middle-aged South Asian man wearing a long tan coat and dark scarf steps into a narrow alley lit by neon signage. The camera tilts up from his shoes as rain hits the cobblestones, revealing his profile in close-up as he pauses beneath a flickering sign. Steam rises from a nearby vent while green and purple reflections dance across his glasses. He glances upward, the ambient glow catching a crease in his brow.
Rule: Do not describe how someone feels only what they do or how their body reacts.
Example Prompt
A teenage boy stands alone near the edge of a school rooftop at golden hour, his arms resting on the metal safety rail. The camera begins in a medium side angle, catching the breeze lifting the hood of his sweatshirt slightly as warm light flares across the lens. He blinks slowly, then wipes beneath one eye with the back of his hand. A single tear trails down his cheek and falls from his jaw. As he exhales, his shoulders drop by an inch, and he tilts his head back to watch a flock of birds pass overhead in silence.
Rule: If using Image to Video, describe the image exactly and build on it.
If using Text to Video, define everything from scratch like the examples above.
After all that reading you must be ready to test out LTX-2 you can click the link below to Try LTX-2 on RunDiffusion.
LTX-2 is now available on Runnit by RunDiffusion, offering creators a fast and reliable way to produce 4K video at 50 frames per second with synchronized sound.
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