Aamanyloraanimemixanimescreencapstylemodel V1Inpainting

Generate with Aamanyloraanimemixanimescreencapstylemodel V1Inpainting 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": "aamanyloraanimemixanimescreencapstylemodel-v1inpainting",
  "prompt": "a photo of aamanyloraanimemixanimescreencapstylemodel v1inpainting",
  "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": "aamanyloraanimemixanimescreencapstylemodel-v1inpainting",
  "prompt": "a photo of aamanyloraanimemixanimescreencapstylemodel v1inpainting",
  "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": "aamanyloraanimemixanimescreencapstylemodel-v1inpainting",
  "prompt": "a photo of aamanyloraanimemixanimescreencapstylemodel v1inpainting",
  "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

Aamanyloraanimemixanimescreencapstylemodel V1Inpainting is also known as: Aamanyloraanimemixanimescreencapstylemodel V1Inpainting, aamanyloraanimemixanimescreencapstylemodel-v1inpainting, aamanyloraanimemixanimescreencapstylemodel v1inpainting, aamanyloraanimemixanimescreencapstylemodelv1inpainting, aamanyloraanimemixanimescreencapstylemodel.v1inpainting, Aamanyloraanimemixanimescreencapstylemodel 1Inpainting. Use it for lora image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Aamanyloraanimemixanimescreencapstylemodel V1Inpainting

How do I use Aamanyloraanimemixanimescreencapstylemodel V1Inpainting via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "aamanyloraanimemixanimescreencapstylemodel-v1inpainting". Get an API key from modelslab.com.

Is Aamanyloraanimemixanimescreencapstylemodel V1Inpainting 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 Aamanyloraanimemixanimescreencapstylemodel V1Inpainting and 1,000+ other models.

What parameters does Aamanyloraanimemixanimescreencapstylemodel V1Inpainting support?

Aamanyloraanimemixanimescreencapstylemodel V1Inpainting 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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