Flux Product Design V3.0 IC CONSIS - In Context Lora - V1.0

Generate with Flux Product Design V3.0 IC CONSIS - In Context Lora - 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": "flux-product-design-v3-0-ic-consis-in-context-lora-v1-0",
  "prompt": "a photo of flux product design v3.0 ic consis - in context lora - 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({
  "key": "YOUR_API_KEY",
  "model_id": "flux-product-design-v3-0-ic-consis-in-context-lora-v1-0",
  "prompt": "a photo of flux product design v3.0 ic consis - in context lora - 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": "flux-product-design-v3-0-ic-consis-in-context-lora-v1-0",
  "prompt": "a photo of flux product design v3.0 ic consis - in context lora - 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

Also searched as

Flux Product Design V3.0 IC CONSIS - In Context Lora - V1.0 is also known as: Flux Product Design V3.0 IC CONSIS - In Context Lora - V1.0, flux-product-design-v3-0-ic-consis-in-context-lora-v1-0, flux product design v3 0 ic consis in context lora v1 0, fluxproductdesignv30icconsisincontextlorav10, flux.product.design.v3.0.ic.consis.in.context.lora.v1.0, flux-product-design-v3.0-ic-consis-in-context-lora-v1.0, Flux Product Design 3.0 IC CONSIS - In Context Lora - 1.0. Use it for flux image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Flux Product Design V3.0 IC CONSIS - In Context Lora - V1.0

How do I use Flux Product Design V3.0 IC CONSIS - In Context Lora - V1.0 via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "flux-product-design-v3-0-ic-consis-in-context-lora-v1-0". Get an API key from modelslab.com.

Is Flux Product Design V3.0 IC CONSIS - In Context Lora - V1.0 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 Flux Product Design V3.0 IC CONSIS - In Context Lora - V1.0 and 1,000+ other models.

What parameters does Flux Product Design V3.0 IC CONSIS - In Context Lora - V1.0 support?

Flux Product Design V3.0 IC CONSIS - In Context Lora - 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.

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