Models / Kling / Start & end frame

Kling start & end frame prompting guide

How to prompt Kling in start/end frame mode. Every point links its source; community tips are marked. Your agent gets the same guide through the Atlas MCP (get_guide).

Prompt structure

transition action→camera→audio

• Write prompts as directions to a scene, not object lists. Multi-shot (up to 6 shots): label each shot with framing, subject and motion. source ↗

What the text should describe

• v3 image-to-video takes start_image_url (required) + optional end_image_url. source ↗

Camera vocabulary

• Shot language: profile shot, macro close-up, tracking shot, POV, shot-reverse-shot. Moves: slow push-in, dolly left, crane up, handheld, locked-off, orbit; lens feel 35mm/85mm. community source ↗
• Describe camera behaviour over time: tracking, following, freezing when the subject pauses, panning, moving in sync. source ↗

Responds well to

• Define core subjects at the start and keep their descriptions identical across shots. source ↗

Duration and limits

• Kling V3/O3 on fal: 3–15 s, up to 1080p; aspect 16:9, 9:16, 1:1. source ↗
• Longer durations risk drift (fal skill). community source ↗

Multi-shot

• multi_prompt list or shot_type 'intelligent'/'customize'; either prompt or multi_prompt, not both. source ↗

Avoid and failure modes

• Prefer direct declarative prompts; skip prestige adjectives; when negative_prompt is exposed list specific things, not vague ones. community source ↗

Negative prompt

Supported via negative_prompt (default: “blur, distort, and low quality”). source ↗

Next

Sources

• blog.fal.ai/kling-3-0-prompting-guide/
• fal.ai/models/fal-ai/kling-video/o3/pro/reference-to-video/api
• fal.ai/models/fal-ai/kling-video/v3/pro/image-to-video/api
• github.com/fal-ai-community/skills/blob/HEAD/skills/fal-prompting/references/kling.md