tbuy

kling_image API pricing & access

kling_image API pricing: $75 per 1M tokens. kling_image. Detailed model specifications await confirmation from the service provider. U…

kling_image API access

kling_image. Detailed model specifications await confirmation from the service provider. Unverified parameters are not guaranteed.

Compare supported API endpoints and capabilities, then access kling_image through the unified API gateway.

Category
image
Supported APIs
Image Generation API, OpenAI Chat Completions API
API endpoints
POST /v1/images/generations, POST /v1/chat/completions

kling_image API pricing

Base input price
$75 per 1M tokens
Base output price
$75 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About kling_image

kling_image. Detailed model specifications await confirmation from the service provider. Unverified parameters are not guaranteed.

Use cases and prompting

Use cases to explore

  • Explore product visuals, campaign concepts and illustration drafts.
  • Compare composition and visual style across several prompt variations.

Practical tips

Specify the subject, composition, lighting and style. Only include reference images or editing parameters when the endpoint supports them.

Example prompt

A minimalist product photograph of a ceramic cup on pale stone, soft window light, ample empty space on the right, warm neutral colors.

How to call kling_image

kling_image is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "kling_image", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="kling_image",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Frequently asked questions about kling_image

What is kling_image?

kling_image. Detailed model specifications await confirmation from the service provider. Unverified parameters are not guaranteed.

How do I call kling_image?

Create an API key with access to kling_image, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is kling_image priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

How should I evaluate kling_image for my project?

Specify the subject, composition, lighting and style. Only include reference images or editing parameters when the endpoint supports them.

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