O3 text-to-image 端点支持高保真提示词遵循、可选 element 输入、最高 4K 分辨率，以及 single-image 与 series 两种生成模式。
示例 1
Prompt
A poster design says 'Kling Omni 3 Image is available on skills.video' with a cool font in the background as several rows and big font size. Big gap between the rows. High fashion model wearing a dress made entirely of living moss and small white flowers, standing in an abandoned greenhouse, shafts of light, editorial photography.
结果
Prompt
结果
A poster design says 'Kling Omni 3 Image is available on skills.video' with a cool font in the background as several rows and big font size. Big gap between the rows. High fashion model wearing a dress made entirely of living moss and small white flowers, standing in an abandoned greenhouse, shafts of light, editorial photography.
Transform into photorealistic 3D render, add proper lighting and shadows, realistic materials and textures, maintain exact proportions and design from sketch, product visualization quality.
结果
主体参考
Prompt
结果
Transform into photorealistic 3D render, add proper lighting and shadows, realistic materials and textures, maintain exact proportions and design from sketch, product visualization quality.
Kling AI video prompt guide
Kling 2.6 AI video prompt generator
A Kling 2.6 AI video prompt generator should produce a shot brief, not just a sentence. Include subject, action, camera movement, lighting, duration, style, and ending frame so the model has enough structure to create a usable clip.
Use one scene per prompt so motion and camera direction stay coherent.
Write camera movement explicitly: dolly-in, pan left, tracking shot, handheld, overhead, or close-up.
Add an ending frame when the clip must loop, land on a product, or finish on a CTA composition.
Prompt example
Close-up product video of wireless earbuds on a reflective black table, slow dolly-in, cool rim light, tiny dust particles in the air, lid opens smoothly, final frame centered on the logo, cinematic ecommerce ad.
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Kling image to video API intent
Kling image to video API searches usually come from developers who already have a reference image or product frame. Check first-frame handling, duration, aspect ratio, prompt field names, output URLs, and whether the endpoint returns progress events for long generations.
Use reference images when identity, product shape, or composition must stay stable.
Store input image, prompt, duration, aspect ratio, and output video together for debugging.
Compare latency and retry behavior before putting Kling into a production queue.
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Seedance vs Kling
Seedance vs Kling searches are model-choice queries. Compare the two on image-to-video consistency, camera control, prompt adherence, native audio needs, generation speed, and how quickly the workflow reaches a publishable clip.
