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Midjourney Text-to-Image creates high-quality, artistic images from text prompts, with strong creative interpretation, detailed composition, and flexible visual styles for concept art, marketing assets, social content, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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A photorealistic fashion portrait of an adult woman standing in a room filled with tall mirrors, wearing a silver satin dress, multiple reflections around her, soft studio lighting, elegant mysterious expression, luxury editorial photography, cinematic composition, ultra-detailed, no text
A photorealistic fashion portrait of an adult woman standing in a room filled with tall mirrors, wearing a silver satin dress, multiple reflections around her, soft studio lighting, elegant mysterious expression, luxury editorial photography, cinematic composition, ultra-detailed, no text
A photorealistic fashion portrait of an adult woman standing in a room filled with tall mirrors, wearing a silver satin dress, multiple reflections around her, soft studio lighting, elegant mysterious expression, luxury editorial photography, cinematic composition, ultra-detailed, no text
A photorealistic fashion portrait of an adult woman standing in a room filled with tall mirrors, wearing a silver satin dress, multiple reflections around her, soft studio lighting, elegant mysterious expression, luxury editorial photography, cinematic composition, ultra-detailed, no text

$0.1per run·~10 / $1

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ExamplesView all

A photorealistic fashion portrait of an adult woman standing in a room filled with tall mirrors, wearing a silver satin dress, multiple reflections around her, soft studio lighting, elegant mysterious expression, luxury editorial photography, cinematic composition, ultra-detailed, no text

A photorealistic fashion portrait of an adult woman standing in a room filled with tall mirrors, wearing a silver satin dress, multiple reflections around her, soft studio lighting, elegant mysterious expression, luxury editorial photography, cinematic composition, ultra-detailed, no text

ultra-realistic, cinematic lighting, soft focus, aesthetic composition, delicate details, beautiful color grading, serene atmosphere, masterpiece photography style, elegant and poetic feeling .

ultra-realistic, cinematic lighting, soft focus, aesthetic composition, delicate details, beautiful color grading, serene atmosphere, masterpiece photography style, elegant and poetic feeling .

A lone, heavily armored knight made of stained glass, standing guard at the shattered gate of a crystal palace floating in a void of swirling galaxies. Cracks in the glass armor leak faint, colorful light. Dramatic low-angle shot, octane render, volumetric nebula lighting, sense of duty and loss.

A lone, heavily armored knight made of stained glass, standing guard at the shattered gate of a crystal palace floating in a void of swirling galaxies. Cracks in the glass armor leak faint, colorful light. Dramatic low-angle shot, octane render, volumetric nebula lighting, sense of duty and loss.

ultra-realistic, cinematic lighting, soft focus, aesthetic composition, delicate details, beautiful color grading, serene atmosphere, masterpiece photography style, elegant and poetic feeling — add the text “MJ” subtly in the bottom right corner of the image

ultra-realistic, cinematic lighting, soft focus, aesthetic composition, delicate details, beautiful color grading, serene atmosphere, masterpiece photography style, elegant and poetic feeling — add the text “MJ” subtly in the bottom right corner of the image

Cinematic action frame capturing the climax of a wizard duel. Two mages, one cloaked in shadow wielding green necrotic energy, the other in white robes wielding golden divine light, clash their spells in the center of a crumbling cathedral interior. Sparks, debris, and magical particles explode outwards. Dynamic Dutch angle, motion blur, high fantasy art, style of Magic the Gathering illustration.

Cinematic action frame capturing the climax of a wizard duel. Two mages, one cloaked in shadow wielding green necrotic energy, the other in white robes wielding golden divine light, clash their spells in the center of a crumbling cathedral interior. Sparks, debris, and magical particles explode outwards. Dynamic Dutch angle, motion blur, high fantasy art, style of Magic the Gathering illustration.

Cinematic establishing shot for a sci-fi film. Ultra-wide angle view of a colossal, ancient alien derelict spaceship half-buried in the crimson sands of a desolate desert planet under twin suns. Tiny human explorers in white suits stand near its base for scale. Golden hour lighting, atmospheric dust, photorealistic matte painting, style of Denis Villeneuve.

Cinematic establishing shot for a sci-fi film. Ultra-wide angle view of a colossal, ancient alien derelict spaceship half-buried in the crimson sands of a desolate desert planet under twin suns. Tiny human explorers in white suits stand near its base for scale. Golden hour lighting, atmospheric dust, photorealistic matte painting, style of Denis Villeneuve.

Surreal cinematic shot. A fully furnished, vintage living room (armchair, lamp, bookshelf) is completely submerged underwater. Sunlight filters down from the surface, creating rippling caustic patterns on the furniture. A lone figure in a flowing white dress floats peacefully in the center of the room. Ethereal, dreamlike atmosphere, photorealistic, style of Gregory Crewdson.

Surreal cinematic shot. A fully furnished, vintage living room (armchair, lamp, bookshelf) is completely submerged underwater. Sunlight filters down from the surface, creating rippling caustic patterns on the furniture. A lone figure in a flowing white dress floats peacefully in the center of the room. Ethereal, dreamlike atmosphere, photorealistic, style of Gregory Crewdson.

Related Models

README

Midjourney Text-to-Image

Midjourney Text-to-Image generates images from a text prompt. Describe the image you want, optionally add a style reference image, choose an aspect ratio, and adjust generation controls such as HD mode, quality, stylize, chaos, weird, and seed.

Why Choose This?

  • Prompt-based image generation
    Generate images directly from a text prompt.

  • Style reference support
    Use an optional style reference image to guide the visual style of the generated images.

  • Flexible aspect ratios
    Choose from multiple output aspect ratios, including square, vertical, horizontal, and cinematic formats.

  • Generation control parameters
    Adjust stylize, chaos, and weird to control aesthetic strength, variation, and unconventional visual characteristics.

  • HD mode
    Enable hd when you want higher-definition generation.

  • Seed support
    Use a fixed seed for more reproducible results, or set -1 for a random seed.

Parameters

ParameterRequiredDescription
promptYesText prompt describing the image to generate. Maximum length: 1024 characters.
srefNoOptional style reference image URL.
aspect_ratioNoAspect ratio of the generated images. Options: 1:1, 9:16, 16:9, 4:3, 3:4, 2:3, 3:2, 9:21, or 21:9. Default: 1:1.
hdNoEnable HD generation mode. Default: false.
qualityNoGeneration quality setting. Options: 1 or 4. Default: 1.
stylizeNoControls how strongly the model's aesthetic style influences the result. Range: 0–1000. Default: 0.
chaosNoControls variation and unpredictability. Range: 0–100. Default: 0.
weirdNoAdds unconventional or surreal characteristics. Range: 0–3000. Default: 0.
seedNoRandom seed. Use -1 for a random seed. Range: -1–2147483647. Default: -1.

How to Use

  1. Write your prompt — Describe the image you want to generate, including subject, composition, lighting, mood, and style.
  2. Add a style reference optional — Provide sref if you want to guide the visual style with a reference image.
  3. Choose aspect ratio — Select the output format, such as 1:1, 9:16, 16:9, or 21:9.
  4. Configure HD optional — Enable hd when higher-definition generation is needed.
  5. Adjust generation settings optional — Configure quality, stylize, chaos, weird, and seed as needed.
  6. Submit — Generate the image outputs.

Output

Returns generated image URL(s) in the standard WaveSpeed prediction response.

Each request generates 4 images.

Pricing

Pricing is based on whether hd is enabled. Each request generates 4 images.

HD ModeRequest CostEffective Cost per Image
false$0.10$0.025
true$0.15$0.0375

Other parameters do not add separate charges.

Best Use Cases

  • Creative image generation — Generate original images from text prompts.
  • Concept art — Create visual concepts for characters, scenes, objects, and environments.
  • Social media visuals — Generate images for posts, thumbnails, banners, and campaigns.
  • Style exploration — Use sref, stylize, chaos, and weird to test different visual directions.
  • Cinematic and vertical formats — Use aspect ratios such as 16:9, 21:9, 9:16, or 9:21 for different content formats.

Pro Tips

  • Keep prompts clear and specific.
  • Use sref when you want the output to follow a specific visual style.
  • Use stylize to control the strength of the model's aesthetic influence.
  • Increase chaos when you want more variation across outputs.
  • Increase weird when you want more unconventional or surreal results.
  • Enable hd when higher-definition output is needed.
  • Use a fixed seed when you want more reproducible generations.
  • Use -1 for random seed generation.
  • Choose the aspect ratio based on the final use case, such as 1:1 for square images, 9:16 for vertical content, or 16:9 for widescreen images.
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.

Text To Image API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/midjourney/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 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",
    "hd": false,
    "quality": 1,
    "stylize": 0,
    "chaos": 0,
    "weird": 0
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/midjourney/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/midjourney/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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "1:1",
        "hd": false,
        "quality": 1,
        "stylize": 0,
        "chaos": 0,
        "weird": 0
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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",
    "hd": False,
    "quality": 1,
    "stylize": 0,
    "chaos": 0,
    "weird": 0
}

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/midjourney/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)

Text To Image API — Frequently asked questions

What is the Text To Image API?

Text To Image is a Midjourney model for image generation, exposed as a REST API on WaveSpeedAI. Midjourney Text-to-Image creates high-quality, artistic images from text prompts, with strong creative interpretation, detailed composition, and flexible visual styles for concept art, marketing assets, social content, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the 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/midjourney/midjourney-text-to-image.

How much does Text To Image cost per run?

Text To Image starts at $0.10 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 Text To Image accept?

Key inputs: `prompt`, `aspect_ratio`, `seed`, `chaos`, `hd`, `quality`. 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/midjourney/midjourney-text-to-image.

How long does Text To Image take to generate?

Median end-to-end generation time on WaveSpeedAI is around 28 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Text To Image outputs commercially?

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

Midjourney Text-to-Image API on WaveSpeedAI