Nano Banana Texto a Video
Esta pagina sirve a usuarios que quieren partir de una idea escrita y transformarla en una escena con movimiento, camara y tono mas claros.
Util para anuncios, explicaciones y escenas creativas
Flujo centrado en prompts
Prueba gratis despues del registro
Que resuelve esta pagina
Se centra en la calidad del prompt y en el paso siguiente, sin competir con la pagina de imagen a video.
Borrador rapido
Convierte una idea vacia en una escena accionable.
Mas claridad
Separa accion, camara y tono para reducir ambiguedad.
Puente a la herramienta
Lleva a ejemplos, al generador de prompts y al flujo real de video.
Flujo practico de texto a video
Debe servir como pagina de SEO y como puerta rapida hacia la herramienta real.
Paso 1
Escribe la escena en una frase y añade movimiento, camara y ambiente por separado.
Paso 2
Usa el generador de prompts si tu prompt sigue demasiado vago.
Paso 3
Genera en la herramienta principal y ajusta solo lo que falte.
What makes text-to-video useful instead of vague
Users searching text-to-video usually want a prompt structure, fitting use cases, and a simple way to debug weak outputs.
Use a prompt formula, not a paragraph
The prompt system in this project already rewards clear cinematic structure.
- Start with subject and action, then add lighting, camera angle, camera movement, and mood.
- Call out the shot type or lens when framing matters, such as close-up, wide shot, 35mm, or 85mm portrait lens.
- Add one negative instruction when needed, such as no sudden cuts, no unnatural motion, or keep the background stable.
Use text-to-video for the right jobs
This mode is strongest when you need idea exploration rather than frame preservation.
- Use it for ad concepts, explainer scenes, creator hooks, and storyboard tests when no source image exists.
- It is the faster way to compare multiple angles or moods before committing to one approved visual.
- Move to image-to-video once one concept frame clearly wins and you want tighter control.
Debug weak prompts in small steps
Bad first outputs are usually repairable without rewriting everything.
- If the scene is vague, add one concrete action instead of stacking more style words.
- If framing is wrong, change the camera line first before rewriting the whole scene.
- If the result looks static, specify motion timing such as a 3-second push-in or slow lateral tracking.
Text-to-video examples that show structure, not fluff
These examples are useful because each one separates subject, action, camera, and mood clearly enough to iterate later.
Short product launch clip
Use this when you need a commercial-looking concept before you have a locked reference image.
Prompt
A premium glass serum bottle stands on a black stone pedestal in a dark studio. Slow dolly in from medium shot to close-up. Soft rim light outlines the bottle edges while tiny water droplets gather on the surface. Calm, polished, luxury mood. No extra products, no sudden cuts.
Why it works: The subject, action, camera move, lighting direction, and exclusions are all explicit, so the model has less room to improvise badly.
Next step: If the bottle looks right but the motion feels weak, only strengthen the dolly-in and lighting interaction lines.
Creator hook
Use this for social intros, talking-head hooks, or lightweight brand clips.
Prompt
Handheld medium shot of a creator stepping into frame on a quiet city street at sunrise. The creator turns toward camera with a quick smile and raises one hand as if starting a sentence. Natural morning light, subtle street energy, clean background separation. No crowd rush, no jump cuts.
Why it works: It defines one human action, one camera feel, and one emotional tone without overloading the scene.
Next step: If framing is off, change only the shot size or camera movement before rewriting the whole scene.
Cinematic environment test
Use this when you need to test atmosphere, pacing, and shot language for a concept scene.
Prompt
Wide shot of a lone runner stopping beneath neon signs in light rain at night. Camera slowly tracks from left to right as the runner catches breath and lifts their head. Wet pavement reflections shimmer, thin mist hangs in the air, tense but hopeful mood. No explosions, no extra characters, no rapid zoom.
Why it works: It gives the model a clear scene anchor, one character action, one camera move, and a tight emotional lane.
Next step: If the scene is good but looks static, add a specific timing cue such as a 3-second lateral track.
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FAQ
Mantén la intencion de la pagina enfocada, responde objeciones clave y muestra el siguiente paso.