curl-X POST 'https://pollo.ai/api/platform/v1/generation/kling-ai/kling-v2/video'\-H'Content-Type: application/json'\-H'x-api-key: YOUR_API_KEY'\-d'{ "input": { "prompt": "A cinematic shot of a golden retriever running through a field of sunflowers at sunset, warm rim light, shallow depth of field", "negativePrompt": "blurry, low quality, distorted, watermark, text", "aspectRatio": "16:9", "duration": 5 }}'
Optionally include webhookUrl to receive a callback when the task succeeds or fails.
Optional request field
{"input":{"prompt":"A cinematic shot of a golden retriever running through a field of sunflowers at sunset, warm rim light, shallow depth of field","negativePrompt":"blurry, low quality, distorted, watermark, text","aspectRatio":"16:9","duration":5},"webhookUrl":"https://example.com/webhooks/pollo"}
Schema
Input fields for the selected endpoint and mode.
Field
Type
Required
Description
prompt
string
Yes
Text prompt describing the content to generate.
negativePrompt
string
No
Text describing elements to avoid in the generated output.
Kling 2.0 is a Kling AI video model emphasizing prompt adherence. It reads long, detailed briefs closely, rendering realistic motion and smooth camera work at high resolution.
With Kling 2.0 on Pollo API, developers add text-to-video, image-to-video, and reference-guided generation to their apps, choosing 5 or 10 second clips and a target aspect ratio per request.
Key Features of Kling 2.0 API
Faithful Prompt Reading
Kling 2.0 parses dense descriptions of subject, action, and staging, honoring the details you specify so fewer rerolls are needed to land the shot you actually described.
Realistic Motion
Movement flows naturally across the clip, with limbs, crowds, and moving vehicles keeping believable speed and direction instead of stuttering or warping mid-shot.
Smooth Camera Behavior
Pans, tracks, and slow reveals stay steady and deliberate, giving generated footage a directed feel rather than the jittery drift common to earlier motion models.
Reference-Guided Generation
Feed a starting image or reference frame and Kling 2.0 carries its composition and subject forward, animating a still into a coherent moving shot that respects the source.
Prompt Strength Control
An adjustable strength setting lets you dial how tightly output tracks the prompt, trading literal adherence for creative variation without rewriting the description itself.
Use Cases of Kling 2.0 API
Long-Prompt Storyboards: Turn detailed multi-clause scene descriptions into single coherent shots, useful for tools where writers hand over dense creative briefs.
Still-to-Motion Apps: Animate uploaded photographs and illustrations into short moving clips while preserving the original framing and subject.
Travel and Location Reveals: Generate steady drone-style sweeps over towns, coastlines, or landscapes for itinerary, tourism, and real-estate content tools.
Action and Sport Clips: Produce runners, cyclists, and paddlers where consistent speed and direction of motion matter to the shot.
Negative-Prompt Cleanup: Let users exclude unwanted elements or artifacts through a negative prompt, tightening output for automated content pipelines.
Aspect-Ratio Variants: Render the same concept as widescreen, vertical, or square so social schedulers can ship one idea to multiple placements.
Reference Frame Continuity: Extend a chosen keyframe into motion for previz and shot-planning tools that start from a fixed composition.
How to Use Kling 2.0 API
Get an API Key: Create a Pollo API account and generate your API key from the developer dashboard.
Choose the Model: Send requests to the Kling 2.0 endpoint at /generation/kling-ai/kling-v2.
Add Your Inputs: Pass a prompt with aspectRatio for text-to-video, or an image URL for image-to-video, then set length (5 or 10) and optional negativePrompt or strength.
Generate and Retrieve: Submit the task, poll the returned task status, and download the finished video once it succeeds.
Prompting Best Practices for Kling 2.0 API
Kling 2.0 responds well to detailed prompts. Write full scene briefs that name the subject, motion, camera move, and setting.
A Simple Prompt Formula
Subject + specific action and direction of motion + camera movement + setting and lighting + style
What You Should Notice
Spell Out Motion: Describe how the subject moves and where it goes, since Kling 2.0 tracks direction and speed closely.
Direct The Camera: Name the pan, track, or reveal you want so the camera reads as intentional.
Use Negative Prompts: List what to exclude to remove recurring artifacts or unwanted objects from results.
Tune Strength: Lower prompt strength for looser interpretation, raise it when you need literal adherence.
Match Aspect Ratio: Pick widescreen, vertical, or square up front so composition suits the final placement.
Anchor With A Reference: Start from an image when composition or subject identity must stay consistent.
Example Prompts
Long-Brief Market Scene
"A fruit vendor arranges oranges into a neat pyramid at a busy morning market, hands moving quickly, shoppers passing behind. Camera tracks slowly left along the stalls, warm early light, realistic documentary style."
Reference-Driven Portrait Animation
"An elderly clockmaker looks up from his workbench and smiles, dust drifting in a shaft of window light. Gentle push-in on a fixed medium shot, soft warm interior, realistic style true to the source image."
Directed Camera Reveal
"A slow aerial glide over a terraced hillside village at dawn, mist lifting between stone rooftops, chimney smoke rising. Steady forward drone-style motion, cool morning light, natural realistic style."
Continuous Action Motion
"A whitewater kayaker paddles hard through a rocky rapid, spray bursting over the bow, the boat holding a straight line downstream. Camera tracks alongside at water level, overcast light, gritty realistic style."
Kling 2.0 vs Runway Gen-4 vs Luma Ray 2
Capability
Kling 2.0
Runway Gen-4
Luma Ray 2
Prompt adherence
✅ Strong on long detailed briefs
✅ Good
✅ Good
Motion realism
✅ Consistent speed and direction
✅ Strong
✅ Smooth
Camera control
✅ Steady directed moves
✅ Explicit camera tools
✅ Fluid moves
Input modes
Text, image, reference image
Text and image
Text and image
Clip length
5 or 10 seconds
Short clips
Short clips
Recommended For
Detailed prompt-faithful shots
Camera-directed sequences
Fast fluid motion
Why Choose Kling 2.0 API?
Kling 2.0 suits products where a detailed brief must survive intact, delivering realistic motion and steady camera work from text, image, or reference inputs at high resolution.
Through Pollo API, you reach Kling 2.0 with one API key alongside 300+ leading video and image models, with clean docs and task status polling.
Start with the Kling 2.0 endpoint on Pollo API to ship prompt-faithful video features, then compare it against Runway, Luma, and Veo without touching your integration.
Kling 2.0 API FAQs
What is Kling 2.0?
Kling 2.0 is the latest Kling AI video model, delivering realistic motion, smooth camera work, and strong prompt adherence at high resolution from text, image, and reference inputs.
Does Kling 2.0 API support text and image inputs?
Yes. You can generate from a text prompt, animate an image URL, or guide output with a reference image, covering both idea-first and asset-first workflows.
What clip lengths and aspect ratios are available?
Kling 2.0 produces 5 or 10 second clips, and text-to-video supports widescreen, vertical, and square aspect ratios selected per request.
How well does Kling 2.0 follow prompts?
Prompt adherence is its main upgrade, so long, detailed descriptions of subject, action, and camera translate closely into the final shot with fewer rerolls.
Can I control what appears in the output?
Yes. A negative prompt lets you exclude unwanted elements, and a strength setting adjusts how literally the model tracks your prompt.
Why run Kling 2.0 through Pollo API?
Pollo API gives one integration for Kling 2.0 and 300+ other models, with documentation and task tracking.
