How do I use MiniMax: MiniMax M2.5 via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "minimax-minimax-m2.5". Get an API key from modelslab.com.

Is MiniMax: MiniMax M2.5 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 MiniMax: MiniMax M2.5 and 1,000+ other models.

What parameters does MiniMax: MiniMax M2.5 support?

MiniMax: MiniMax M2.5 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.

Stable Diffusion

MiniMax: MiniMax M2.5

model_id: minimax-minimax-m2.5

229B MoE LLM (10B active/token) with 197K context, SOTA coding (80.2% SWE-Bench), agentic tools, multilingual support, and ultra-low costs for. MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1... You can integrate MiniMax: MiniMax M2.5 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "minimax-minimax-m2.5" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. MiniMax: MiniMax M2.5 costs $0.650000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

Use MiniMax: MiniMax M2.5 in playground → Get API key 0

Generate with MiniMax: MiniMax M2.5 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": "minimax-minimax-m2.5",
  "prompt": "a photo of minimax: minimax m2.5",
  "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": "minimax-minimax-m2.5",
  "prompt": "a photo of minimax: minimax m2.5",
  "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": "minimax-minimax-m2.5",
  "prompt": "a photo of minimax: minimax m2.5",
  "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	minimax-minimax-m2.5	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

MiniMax: MiniMax M2.5 is also known as: MiniMax: MiniMax M2.5, minimax-minimax-m2.5, minimax minimax m2.5, minimaxminimaxm2.5, minimax.minimax.m2.5. Use it for stable diffusion image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — MiniMax: MiniMax M2.5

How do I use MiniMax: MiniMax M2.5 via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "minimax-minimax-m2.5". Get an API key from modelslab.com.
Is MiniMax: MiniMax M2.5 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 MiniMax: MiniMax M2.5 and 1,000+ other models.
What parameters does MiniMax: MiniMax M2.5 support?: MiniMax: MiniMax M2.5 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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Generate with MiniMax: MiniMax M2.5 via API

Parameters

Also searched as

FAQ — MiniMax: MiniMax M2.5

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