How do I use V35-SDXL-Sim-Epsilon-Base via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "v35sdxlsimepsilonbase". Get an API key from modelslab.com.

Is V35-SDXL-Sim-Epsilon-Base 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 V35-SDXL-Sim-Epsilon-Base and 1,000+ other models.

What parameters does V35-SDXL-Sim-Epsilon-Base support?

V35-SDXL-Sim-Epsilon-Base 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.

SDXL

V35-SDXL-Sim-Epsilon-Base

model_id: v35sdxlsimepsilonbase

V35-SDXL-Sim-Epsilon-Base is a ai generation AI model available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. You can integrate V35-SDXL-Sim-Epsilon-Base into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "v35sdxlsimepsilonbase" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. V35-SDXL-Sim-Epsilon-Base costs $0.0047 per API call. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. The model ID for V35-SDXL-Sim-Epsilon-Base is "v35sdxlsimepsilonbase". Use this ID in your API requests to specify this model.

Use V35-SDXL-Sim-Epsilon-Base in playground → Get API key 0

Generate with V35-SDXL-Sim-Epsilon-Base 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": "v35sdxlsimepsilonbase",
  "prompt": "a photo of v35-sdxl-sim-epsilon-base",
  "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": "v35sdxlsimepsilonbase",
  "prompt": "a photo of v35-sdxl-sim-epsilon-base",
  "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": "v35sdxlsimepsilonbase",
  "prompt": "a photo of v35-sdxl-sim-epsilon-base",
  "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	v35sdxlsimepsilonbase	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

V35-SDXL-Sim-Epsilon-Base is also known as: V35-SDXL-Sim-Epsilon-Base, v35sdxlsimepsilonbase, 35-SDXL-Sim-Epsilon-Base. Use it for sdxl image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — V35-SDXL-Sim-Epsilon-Base

How do I use V35-SDXL-Sim-Epsilon-Base via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "v35sdxlsimepsilonbase". Get an API key from modelslab.com.
Is V35-SDXL-Sim-Epsilon-Base 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 V35-SDXL-Sim-Epsilon-Base and 1,000+ other models.
What parameters does V35-SDXL-Sim-Epsilon-Base support?: V35-SDXL-Sim-Epsilon-Base 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.

Cyberreal

378.1K images generated

Gakuen De Jikan Yo Tomare AnimagineXL 4 0opt 1754375412

378.1K images generated

Stable Diffusion v1-5

Nudify V141

378.1K images generated

Deliberate V2

378.1K images generated

Realistic Vision V51

378.1K images generated

Anything V5

378.1K images generated

Tufos Comic Style Nerd Stallion F1d XL Nerd Stallion F1d V2 1

378.1K images generated

Generate with V35-SDXL-Sim-Epsilon-Base via API

Parameters

Also searched as

FAQ — V35-SDXL-Sim-Epsilon-Base

Related models

Cyberreal

Gakuen De Jikan Yo Tomare AnimagineXL 4 0opt 1754375412

Stable Diffusion v1-5

Nudify V141

Deliberate V2

Realistic Vision V51

Anything V5

Tufos Comic Style Nerd Stallion F1d XL Nerd Stallion F1d V2 1