Kling V2 / 참조로 이미지
V2.0 foundational image model supporting text-to-image and image-to-image generation. Enables multi-type reference control—character, face, subject, scene, and style. Built for role consistency and thematic control across generated visuals. Multiple aspect ratio support
Kling V2 ImageSubject, Scene & Style Compositing
Kling V2 supports text-to-image and multi-reference compositing — lock a subject, blend scene and style images, and generate 1K/2K stills across social and print ratios.
Reference-Aware Image Stack
Compose subject, scene, and style into brand-ready stills.
Triple Reference Compositing
Provide subject, scene, and style images together. The model preserves subject identity while adopting the scene’s lighting and the style image’s visual language.
Face or Subject Lock
Choose face-level or full-subject reference so character identity stays stable across campaign variants.
Negative Prompt Control
Exclude unwanted props, backgrounds, or styles so composites stay clean enough for paid placements.
Batch Variant Production
Generate multiple images per request across ratios for A/B creative and multi-channel launches.
How It Works
A production-ready path from brief to finished asset.
Prepare References
Collect subject, scene, and style images that each contribute one job.
Choose Lock Mode
Face lock for portraits; subject lock when outfit and silhouette matter.
Compose the Prompt
Describe the desired outcome; references supply identity, lighting, and style.
Export Variants
Batch sizes and ratios for the channels you need without manual re-crops.
Compositing Domains
Where reference images replace heavy retouching.
Character Campaigns
Lock talent identity across creative variants.
Style Transfer Ads
Apply brand style images to product shots.
Scene Recomposition
Place subjects into new environments cleanly.
Catalog Consistency
1K/2K stills with locked subject geometry.
Prompt & Usage Tips
Practical guidance for reliable first-pass results.
Do not ask a single image to be subject + scene + style. Split roles across references.
When only the face must match, face lock is less restrictive than full-subject lock.
Call out logo placement or silhouette constraints for packshot-safe edits.
Reference Image Quickstart
Composite subject, scene, and style into brand stills.
curl -X POST "https://api.powertokens.ai/v1/images/generations" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type": "application/json" \
-d '{
"model": "kling-v2",
"prompt": "Editorial close-up portrait with sculptural hat, photorealistic studio light.",
"size": "1k",
"response_format": "url",
"watermark": false,
"aspect_ratio": "16:9"
}'Technical Specifications
Confirmed parameters and runtime execution protocols.
가격 상세
이 모델의 실제 요금은 API 요청에서 전달된 특정 매개변수를 기반으로 동적으로 계산됩니다. 아래는 구체적인 조합과 해당 가격입니다:
| 모달리티 | 크레딧 | 가격 (USD) |
|---|---|---|
| Text to Image | 14/ Image | $0.014 |
| Image to Image | 28/ Image | $0.028 |
| Reference to Image | 56/ Image | $0.056 |
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Updated iteration of the V2.0 series image generation model. Retains core multi-reference capabilities—character, face, subject, scene, and style—with refined performance optimizations. Supports diverse aspect ratios and reference-based generation for consistent visual output
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Frequently Asked Questions
Everything you need to know before integrating this model.
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