How do I use Kling V2 Master Text To Video via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "kling-v2-master-t2v". Get an API key from modelslab.com.

Is Kling V2 Master Text To Video free to use?

Yes — Stable Diffusion API offers a free tier with 20 generations. Paid plans starting at $8/month give you unlimited access to Kling V2 Master Text To Video and 1,000+ other models.

What parameters does Kling V2 Master Text To Video support?

Kling V2 Master Text To Video accepts standard Stable Diffusion parameters: prompt, negative_prompt, width, height, samples, num_inference_steps (default 30), guidance_scale (default 7.5), seed, and safety_checker.

Can I use generated images commercially?

Yes. You retain copyright on all images you generate via the API and can use them commercially.

Stable Diffusion

Kling V2 Master Text To Video

model_id: kling-v2-master-t2v

Generates cinematic-quality 5-10 second videos from text prompts with 1080p resolution, 30 FPS, temporal attention for smooth motion, and strong prompt. Generates cinematic-quality 5-10 second videos from text prompts with 1080p resolution, 30 FPS, temporal attention for smooth motion, and strong prompt adherence. You can integrate Kling V2 Master Text To Video into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "kling-v2-master-t2v" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. Kling V2 Master Text To Video costs $0.336000 per second. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

Use Kling V2 Master Text To Video in playground → Get API key 0

Generate with Kling V2 Master Text To Video via API

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key. Get yours at modelslab.com.

curl -X POST 'https://stablediffusionapi.com/api/v4/dreambooth' \
  -H 'Content-Type: application/json' \
  -d '{
  "key": "YOUR_API_KEY",
  "model_id": "kling-v2-master-t2v",
  "prompt": "a photo of kling v2 master text to video",
  "negative_prompt": null,
  "width": "512",
  "height": "512",
  "samples": "1",
  "num_inference_steps": "30",
  "guidance_scale": "7.5",
  "safety_checker": "no",
  "enhance_prompt": "yes",
  "seed": null,
  "webhook": null,
  "track_id": null
}'

import requests, json

url = "https://stablediffusionapi.com/api/v4/dreambooth"
payload = json.dumps({
  "key": "YOUR_API_KEY",
  "model_id": "kling-v2-master-t2v",
  "prompt": "a photo of kling v2 master text to video",
  "negative_prompt": null,
  "width": "512",
  "height": "512",
  "samples": "1",
  "num_inference_steps": "30",
  "guidance_scale": "7.5",
  "safety_checker": "no",
  "enhance_prompt": "yes",
  "seed": null,
  "webhook": null,
  "track_id": null
})
headers = {'Content-Type': 'application/json'}
response = requests.post(url, headers=headers, data=payload)
print(response.text)

const response = await fetch("https://stablediffusionapi.com/api/v4/dreambooth", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
  "key": "YOUR_API_KEY",
  "model_id": "kling-v2-master-t2v",
  "prompt": "a photo of kling v2 master text to video",
  "negative_prompt": null,
  "width": "512",
  "height": "512",
  "samples": "1",
  "num_inference_steps": "30",
  "guidance_scale": "7.5",
  "safety_checker": "no",
  "enhance_prompt": "yes",
  "seed": null,
  "webhook": null,
  "track_id": null
})
});
const data = await response.json();
console.log(data);

Parameters

Parameter	Default	Description
model_id	kling-v2-master-t2v	Model identifier
prompt
negative_prompt
width	512	Output image width (px)
height	512	Output image height (px)
samples	1	Number of images to generate
num_inference_steps	30	Denoising steps (1-50)
guidance_scale	7.5	Prompt adherence (1-20)
seed	null	Random seed (null to randomize)
safety_checker	yes	NSFW filter (yes/no)
enhance_prompt	yes	Auto-improve prompt (yes/no)

Also searched as

Kling V2 Master Text To Video is also known as: Kling V2 Master Text To Video, kling-v2-master-t2v, kling v2 master t2v, klingv2mastert2v, kling.v2.master.t2v, Kling 2 Master Text To Video. Use it for stable diffusion image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Kling V2 Master Text To Video

How do I use Kling V2 Master Text To Video via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "kling-v2-master-t2v". Get an API key from modelslab.com.
Is Kling V2 Master Text To Video free to use?: Yes — Stable Diffusion API offers a free tier with 20 generations. Paid plans starting at $8/month give you unlimited access to Kling V2 Master Text To Video and 1,000+ other models.
What parameters does Kling V2 Master Text To Video support?: Kling V2 Master Text To Video accepts standard Stable Diffusion parameters: prompt, negative_prompt, width, height, samples, num_inference_steps (default 30), guidance_scale (default 7.5), seed, and safety_checker.
Can I use generated images commercially?: Yes. You retain copyright on all images you generate via the API and can use them commercially.

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Generate with Kling V2 Master Text To Video via API

Parameters

Also searched as

FAQ — Kling V2 Master Text To Video

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