Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (V1)

Generate with Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (V1) 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": "mengo-yokoyari-oshi-no-ko-flux-lora-style-flux-1-d-v1",
  "prompt": "a photo of mengo yokoyari - oshi no ko (flux lora style) - flux 1.d (v1)",
  "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": "mengo-yokoyari-oshi-no-ko-flux-lora-style-flux-1-d-v1",
  "prompt": "a photo of mengo yokoyari - oshi no ko (flux lora style) - flux 1.d (v1)",
  "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": "mengo-yokoyari-oshi-no-ko-flux-lora-style-flux-1-d-v1",
  "prompt": "a photo of mengo yokoyari - oshi no ko (flux lora style) - flux 1.d (v1)",
  "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

Also searched as

Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (V1) is also known as: Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (V1), mengo-yokoyari-oshi-no-ko-flux-lora-style-flux-1-d-v1, mengo yokoyari oshi no ko flux lora style flux 1 d v1, mengoyokoyarioshinokofluxlorastyleflux1dv1, mengo.yokoyari.oshi.no.ko.flux.lora.style.flux.1.d.v1, Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (1). Use it for flux image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (V1)

How do I use Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (V1) via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "mengo-yokoyari-oshi-no-ko-flux-lora-style-flux-1-d-v1". Get an API key from modelslab.com.

Is Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (V1) 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 Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (V1) support?

Mengo Yokoyari - Oshi No Ko (Flux LoRA Style) - Flux 1.D (V1) 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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