How do I use Black Myth: Wukong (Flux) - KangJin Star via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "black-myth-wukong-flux-kangjin-star". Get an API key from modelslab.com.

Is Black Myth: Wukong (Flux) - KangJin Star free to use?

No. API access requires a paid ModelsLab plan, starting at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generations on open-source models; third-party models are billed separately.

What parameters does Black Myth: Wukong (Flux) - KangJin Star support?

Black Myth: Wukong (Flux) - KangJin Star 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.

Flux

Black Myth: Wukong (Flux) - KangJin Star

model_id: black-myth-wukong-flux-kangjin-star

Generate images from text with Black Myth: Wukong (Flux) KangJin Star. High-resolution AI image generation. Plans from $21/month. Black Myth: Wukong (Flux) - KangJin Star is a text to image AI model by ModelsLab available on ModelsLab. API access starts at $21/month, and open-source models are unlimited on the $149/month plan. You can integrate Black Myth: Wukong (Flux) - KangJin Star into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "black-myth-wukong-flux-kangjin-star" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. Black Myth: Wukong (Flux) - KangJin Star costs $0.0047 per API call. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.

Use Black Myth: Wukong (Flux) - KangJin Star in playground → Get API key

Generate with Black Myth: Wukong (Flux) - KangJin Star 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": "black-myth-wukong-flux-kangjin-star",
  "prompt": "a photo of black myth: wukong (flux) - kangjin star",
  "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(json.loads(r'''{
  "key": "YOUR_API_KEY",
  "model_id": "black-myth-wukong-flux-kangjin-star",
  "prompt": "a photo of black myth: wukong (flux) - kangjin star",
  "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": "black-myth-wukong-flux-kangjin-star",
  "prompt": "a photo of black myth: wukong (flux) - kangjin star",
  "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	black-myth-wukong-flux-kangjin-star	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

Black Myth: Wukong (Flux) - KangJin Star is also known as: Black Myth: Wukong (Flux) - KangJin Star, black-myth-wukong-flux-kangjin-star, black myth wukong flux kangjin star, blackmythwukongfluxkangjinstar, black.myth.wukong.flux.kangjin.star. Use it for flux generation, available via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Black Myth: Wukong (Flux) - KangJin Star

How do I use Black Myth: Wukong (Flux) - KangJin Star via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "black-myth-wukong-flux-kangjin-star". Get an API key from modelslab.com.
Is Black Myth: Wukong (Flux) - KangJin Star free to use?: No. API access requires a paid ModelsLab plan, starting at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generations on open-source models; third-party models are billed separately.
What parameters does Black Myth: Wukong (Flux) - KangJin Star support?: Black Myth: Wukong (Flux) - KangJin Star 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.