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MiniMax H3 Open Weights Text-to-Image generates photorealistic, cinema-grade stills from a text prompt at 1K or 2K resolution with fifteen aspect ratios. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

text-to-image
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A stylish young foreign blonde woman sitting in the back seat of a taxi on a rainy night, wearing a black coat and red lipstick, holding a bouquet of slightly crushed flowers on her lap, city lights reflecting through rain-covered windows, intimate cinematic atmosphere, elegant emotional realism, highly detailed.

$0.02per run·~50 / $1

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A stylish young foreign blonde woman sitting in the back seat of a taxi on a rainy night, wearing a black coat and red lipstick, holding a bouquet of slightly crushed flowers on her lap, city lights reflecting through rain-covered windows, intimate cinematic atmosphere, elegant emotional realism, highly detailed.

A stylish young foreign blonde woman sitting in the back seat of a taxi on a rainy night, wearing a black coat and red lipstick, holding a bouquet of slightly crushed flowers on her lap, city lights reflecting through rain-covered windows, intimate cinematic atmosphere, elegant emotional realism, highly detailed.

Photorealistic portrait of a beautiful young woman with long wavy chestnut hair and soft freckles, white linen blouse, sunlit Parisian cafe terrace, gentle smile, 85mm lens, shallow depth of field, golden hour.

Photorealistic portrait of a beautiful young woman with long wavy chestnut hair and soft freckles, white linen blouse, sunlit Parisian cafe terrace, gentle smile, 85mm lens, shallow depth of field, golden hour.

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README

MiniMax H3 Text-to-Image (Open Weights)

Run the open-weights edition of MiniMax H3 as a still-image generator on WaveSpeedAI's own GPU infrastructure. MiniMax H3 is a cinema-grade omni-modal generation model; this endpoint taps the same generator to produce a single photorealistic image from a text prompt, natively at 1k or 2k resolution.

Why Choose This?

  • Cinematic realism
    Film-quality lighting, skin, fabric and depth of field from a video-grade generator, with strong prompt adherence.

  • Native 2K output
    Generate up to ~4 megapixels directly, no separate upscaling step.

  • Flexible aspect ratios
    Fifteen presets from square to tall, wide and cinematic formats.

  • Fast and affordable
    Distilled sampling keeps generation to seconds per image at a flat per-image price.

Parameters

ParameterRequiredDescription
promptYesText description of the desired image.
aspect_ratioNoOutput aspect ratio. Options: 1:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21, or 21:9. Default 1:1.
resolutionNoOutput resolution: 1k (default) or 2k.
output_formatNojpeg (default), png or webp.
seedNoRandom seed. -1 picks a random seed.

How to Use

  1. Write your prompt — Describe the subject, setting, lighting, lens and mood as you would brief a cinematographer.
  2. Pick an aspect ratio — Match the layout of your target format.
  3. Choose resolution1k for fast iteration, 2k for final assets.
  4. Submit — Receive the generated image URL.

Pricing

Pricing is based on the selected resolution.

ResolutionCost per image
1k$0.02
2k$0.06

Best Use Cases

  • Portraits and lifestyle — Photorealistic people, expressions and skin detail.
  • Key art and thumbnails — Cinematic stills that match your video content.
  • Concept exploration — Iterate on scenes, costumes and moods before generating video.
  • Marketing visuals — Campaign images, product scenes and social content.

Pro Tips

  • Prompt like a film still: subject, action, environment, lighting, lens (e.g. 85mm, shallow depth of field), time of day.
  • Use 2k for prints and hero images; 1k is usually enough for social and previews.
  • Fix the seed to compare prompt variations on the same composition.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Minimax H3 Text To Image API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3/text-to-image with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Minimax H3 Text To Image below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3/text-to-image" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3/text-to-image";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "1:1",
        "resolution": "1k",
        "output_format": "jpeg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "output_format": "jpeg"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3/text-to-image", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Minimax H3 Text To Image API — Frequently asked questions

What is the Minimax H3 Text To Image API?

Minimax H3 Text To Image is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. MiniMax H3 Open Weights Text-to-Image generates photorealistic, cinema-grade stills from a text prompt at 1K or 2K resolution with fifteen aspect ratios. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Minimax H3 Text To Image API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/minimax-h3-text-to-image.

How much does Minimax H3 Text To Image cost per run?

Minimax H3 Text To Image starts at $0.020 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Minimax H3 Text To Image accept?

Key inputs: `prompt`, `aspect_ratio`, `resolution`, `seed`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/minimax-h3-text-to-image.

How do I get started with the Minimax H3 Text To Image API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Minimax H3 Text To Image outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

MiniMax H3 Text-to-Image Open Weights | Cinematic 2K Image Generation API on WaveSpeedAI