How do I use [Pinkie] - Flux Pro Ultra Fantasia - V1.0 via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "pinkie-flux-pro-ultra-fantasia-v1-0". Get an API key from modelslab.com.

Is [Pinkie] - Flux Pro Ultra Fantasia - V1.0 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 [Pinkie] - Flux Pro Ultra Fantasia - V1.0 support?

[Pinkie] - Flux Pro Ultra Fantasia - V1.0 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

[Pinkie] - Flux Pro Ultra Fantasia - V1.0

model_id: pinkie-flux-pro-ultra-fantasia-v1-0

Generate images from text with [Pinkie] Flux Pro Ultra Fantasia V1.0. High-resolution AI image generation. Plans from $21/month. Standard weight is 1 but feel free to adjust the numbers to your liking. Please avoid using too many LoRAs at once since it might mess up with the results. Results may vary on different checkpoints. You can integrate [Pinkie] - Flux Pro Ultra Fantasia - V1.0 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "pinkie-flux-pro-ultra-fantasia-v1-0" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. [Pinkie] - Flux Pro Ultra Fantasia - V1.0 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 [Pinkie] - Flux Pro Ultra Fantasia - V1.0 in playground → Get API key

Generate with [Pinkie] - Flux Pro Ultra Fantasia - V1.0 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": "pinkie-flux-pro-ultra-fantasia-v1-0",
  "prompt": "a photo of [pinkie] - flux pro ultra fantasia - v1.0",
  "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": "pinkie-flux-pro-ultra-fantasia-v1-0",
  "prompt": "a photo of [pinkie] - flux pro ultra fantasia - v1.0",
  "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": "pinkie-flux-pro-ultra-fantasia-v1-0",
  "prompt": "a photo of [pinkie] - flux pro ultra fantasia - v1.0",
  "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	pinkie-flux-pro-ultra-fantasia-v1-0	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

[Pinkie] - Flux Pro Ultra Fantasia - V1.0 is also known as: [Pinkie] - Flux Pro Ultra Fantasia - V1.0, pinkie-flux-pro-ultra-fantasia-v1-0, pinkie flux pro ultra fantasia v1 0, pinkiefluxproultrafantasiav10, pinkie.flux.pro.ultra.fantasia.v1.0, pinkie-flux-pro-ultra-fantasia-v1.0, [Pinkie] - Flux Pro Ultra Fantasia - 1.0. Use it for flux generation, available via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — [Pinkie] - Flux Pro Ultra Fantasia - V1.0

How do I use [Pinkie] - Flux Pro Ultra Fantasia - V1.0 via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "pinkie-flux-pro-ultra-fantasia-v1-0". Get an API key from modelslab.com.
Is [Pinkie] - Flux Pro Ultra Fantasia - V1.0 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 [Pinkie] - Flux Pro Ultra Fantasia - V1.0 support?: [Pinkie] - Flux Pro Ultra Fantasia - V1.0 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.