Gemini Omni Text to Video
gemini-omni-text-to-video: turn words into moving visuals.
A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.
gemini-omni-text-to-video is a generative model that produces video content directly from natural language prompts. It understands complex scenes, motion, and style, translating your written ideas into dynamic moving images. This model is designed for creators who need quick visual drafts, concept animations, or unique video assets without traditional filming or editing.
Use it when you want to visualize a storyboard, generate background loops, or experiment with visual ideas. It handles a wide range of styles from realistic to abstract, and can interpret detailed instructions about objects, actions, and environments.
What sets it apart is its ability to maintain coherence across frames and generate smooth motion that aligns with your description. It is a single model that handles the entire text-to-video pipeline, making it straightforward to use for both beginners and experienced creators.
- Storyboarding and pre-visualization
- Social media short video creation
- Concept art animation
- Educational explainer clips
- Creative inspiration and brainstorming
Generates smooth, logical movement that matches your description.
Handles diverse visual styles from photorealistic to cartoon or abstract.
Produces video clips quickly, enabling rapid creative exploration.
- Keep prompts clear and focused on one main action.
- Specify mood or lighting for better atmosphere.
- Use simple camera directions like 'zoom in' or 'pan left'.
- Experiment with different prompts to refine results.
- May struggle with very long or complex narratives.
- Generated videos are short (typically a few seconds).
- Fine details like text or small objects can be inconsistent.
Aerial drone shot flying over a misty mountain range at dawn, cinematic lighting, 4k.
A glowing blue dragon flying through a starry night sky, magical sparkles trailing behind.
Swirling colorful paint mixing in water, slow motion, macro shot, vibrant colors.
A number that sets the random starting point; use the same seed to reproduce a result.
Number of processing steps: more steps can improve quality but take longer.
Nucleus sampling: limits the model to the most likely tokens, balancing creativity and coherence.
Length of the generated video in seconds (usually 2-5).
Controls randomness: lower values produce more predictable results, higher values add variety.
Shape of the video, like '16:9' for widescreen or '1:1' for square.
How closely the video follows your prompt: higher values stick to the text, lower values allow more freedom.
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How long are the generated videos?
Videos are typically a few seconds long, suitable for short clips and loops.
Can I control the style of the video?
Yes, describe the desired style in your prompt, such as 'cinematic' or 'watercolor'.
Does it support multiple characters or objects?
Yes, but simpler scenes with fewer elements tend to produce more reliable results.