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Accueil/Explorer/Kling Models/kwaivgi/kling-v2.1-i2v-pro
image-to-video

image-to-video

Kwaivgi Kling V2.1 I2V Pro

kwaivgi/kling-v2.1-i2v-pro

Kling 2.1 Pro converts images to professional cinematic videos with enhanced fidelity, precise camera moves and dynamic motion control. Ready-to-use REST inference API, top performance, no coldstarts, affordable pricing.

Input

Hint: You can drag and drop a file or click to upload

preview

Idle

Votre requête coûtera $0.45 par exécution.

Pour $10 vous pouvez exécuter ce modèle environ 22 fois.

Encore une chose :

ExemplesTout voir

README

Kling v2.1 I2V Pro — kwaivgi/kling-v2.1-i2v-pro

Kling v2.1 I2V Pro turns a single reference image into a short, cinematic video clip guided by your prompt. Upload an image, describe the motion (subject + camera + environment), and the model animates the scene while keeping the input image as the visual anchor. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable pricing.

Key capabilities

  • Image-to-video generation anchored to your input image
  • Prompt-controlled motion: facial micro-expressions, hair/clothing movement, environment effects
  • Cinematic camera moves: push-in, orbit, pan, tilt, handheld feel
  • Supports negative_prompt to reduce artifacts and unwanted styles

Pricing

DurationPrice
5s$0.45
10s$0.90
15s$1.35
20s$1.80

Inputs

  • image (required): the reference image used as the visual anchor
  • prompt (required): describe what moves and how the camera behaves
  • negative_prompt (optional): describe what to avoid (blur, distortions, artifacts)

Parameters

  • prompt: motion + scene direction for the clip
  • negative_prompt: optional “avoid list”
  • image: input image (upload or URL)
  • guidance_scale: how strongly motion follows your prompt (lower = more natural, higher = more literal)
  • duration: video length in seconds

Prompting guide (I2V)

Write prompts like a director’s brief, focusing on motion:

  • Subject motion: expression change, breathing, walking, turning, hair swaying
  • Environment motion: wind, rain, fog, particles, light rays
  • Camera motion: slow push-in, orbit, dolly, handheld micro-shake
  • Continuity: keep identity, outfit, and scene layout consistent with the input image

Example prompts

  • A cinematic close-up of a woman laughing on a sunny city street. Her hair sways in the wind, coat fabric subtly moves, warm natural light, shallow depth of field, camera slow push-in, smooth motion, 5 seconds.
  • Portrait in golden hour. Gentle breeze, subtle facial motion, soft lens flare, handheld micro-sway, realistic skin texture, 5 seconds.
  • Moody night street scene. Light rain, drifting mist, neon reflections, camera slow orbit around the subject, 5 seconds.

Negative prompt examples

  • blur, distort, low quality
  • jitter, warping, melted details, extra limbs
  • watermark, logo, subtitles, text artifacts