Imagen 4 is an AI image generator that produces detailed, high-quality images up to 2K across diverse styles and subjects. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
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$0.04실행당·~25 / $1
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A raw, unflinching photograph of a weathered soldier in a desert trench. Dust and sand are kicked up by the wind, clinging to his helmet and gear. His eyes, though tired, are sharp and focused, looking out into the distance. The background is a blurry, sun-scorched landscape. The image is gritty, with high contrast and a muted color palette. Shot on a vintage film camera, documentary style, hyper-realistic.
A close-up, cinematic portrait of a young woman in a traditional Japanese kimono, standing in a futuristic cyberpunk alley. Neon kanji characters glow on wet cobblestone streets. She is holding a translucent, glowing umbrella. The scene is bathed in a mix of purple, blue, and pink neon light. Dynamic lighting, depth of field, 8K resolution, detailed textures.
An epic, wide-angle shot of a colossal dragon made of crystalline ice, perched atop a jagged mountain peak. It's breathing a blizzard of sparkling snow into the valley below. Sunlight reflects off its icy scales, creating a dazzling prism effect. The sky is filled with swirling aurora borealis. Dramatic lighting, fantasy art, cinematic, digital painting.
A candid, decisive moment photograph of a street vendor selling fresh flowers in a bustling marketplace in Hanoi, Vietnam. The vendor is laughing, a single ray of morning sun illuminates her smile. The background is a swirl of blurred people and vibrant colors. The scene is full of life and movement. Film grain, natural lighting, documentary photography, 4K resolution.
A gritty, black-and-white photograph of a boxer training in a dimly lit, old-school gym. Sweat is glistening on his skin as he hits a heavy bag. The air is thick with dust and chalk powder, visible in the light pouring through a high window. His muscles are defined and tense. The focus is sharp on his face and hands. Dramatic lighting, high contrast, documentary style, vintage photography.
A soft, natural light portrait of a young woman reading a book by a large window. The sun is setting, casting a warm, golden glow on her face and the dust motes dancing in the air. She is wearing a cozy sweater, and her expression is one of calm concentration. The background is a slightly blurred, minimalist living room with a few carefully placed plants. Soft ambient lighting, photorealistic, cinematic, shallow depth of field, warm color palette.
A perfectly styled, overhead photograph of a freshly baked sourdough bread loaf on a rustic cutting board. A knife rests beside it, with a single slice already cut. The surface of the bread has a deep, golden-brown crust with a beautiful, intricate scoring pattern. Steam is faintly rising from the cut slice. The background is a clean, dark wood table. Warm and inviting, photorealistic, professional food styling, high resolution.
An epic, NASA-style photograph of a futuristic space shuttle launching from a desert launchpad at sunrise. The engines are roaring with vibrant orange and blue flames, casting long shadows on the arid landscape. A large cloud of smoke and dust billows around the shuttle's base. The sky is a gradient of deep orange, pink, and purple. High dynamic range, hyper-realistic, motion blur on the smoke, dramatic lighting.
A hyper-realistic, telephoto shot of a small fishing boat returning to a harbor at sunrise. The sky is a gradient of soft pink, orange, and purple hues, reflected on the calm, slightly rippled water. A fine mist hangs over the water, softening the details of the distant port. The fisherman on the deck is a silhouette against the rising sun. Golden-hour lighting, serene atmosphere, professional landscape photography, shallow depth of field.
An epic, wide-angle landscape photograph of a rugged coastline just before a storm. The sky is filled with dramatic, dark storm clouds, and a bolt of lightning strikes the distant ocean. The waves are crashing violently against the rocky shore, with sea spray flying into the air. The overall color palette is dark blue, gray, and deep green. High dynamic range, cinematic, professional storm photography, hyper-realistic.
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README
Imagen 4 (Text-to-Image) — wavespeed-ai/imagen4
Imagen 4 is a high-quality text-to-image model for generating photorealistic and stylized images from prompts, with optional negative prompts for extra control. It’s well-suited for concept art, marketing creatives, portraits, and detailed scenes where you want clean composition and strong realism.
Key capabilities
- Text-to-image generation with strong realism and detail
- Optional negative_prompt to reduce unwanted artifacts or styles
- Reliable composition across common aspect ratios (e.g., 1:1, 16:9, 9:16)
- Supports multi-image output in a single run via num_images
Pricing
$0.04 per image.
Total cost = num_images × $0.04 Example: num_images = 4 → $0.16
How to use
- Write a prompt describing subject, setting, lighting, and style.
- Optionally add a negative_prompt listing what you want to avoid.
- Select aspect_ratio for your target layout.
- Choose num_images for how many variations you want.
- Set seed for reproducible results (optional), then generate.
Parameters
- prompt (required): The text description of what to generate
- negative_prompt (optional): What to avoid (artifacts, styles, objects, text, etc.)
- aspect_ratio: Output aspect ratio (e.g., 1:1, 16:9, 9:16)
- num_images: Number of images to generate per run
- seed: Fixed value for reproducibility; leave empty/random for variation
Prompting guide
A stable structure:
- Subject: who/what is in frame
- Scene: where + time + atmosphere
- Details: clothing, materials, environment cues
- Lighting: softbox, sunset, harsh noon, rim light
- Camera: close-up, wide shot, depth of field
- Style: photorealistic, cinematic, illustration, etc.
Example pattern: A [shot type] of [subject] in [scene]. [Lighting + mood]. [Camera cues]. [Style cues].
Example prompts
- A raw, unflinching photograph of a weathered soldier in a desert trench, dust blowing across his helmet and gear, harsh sunlight, shallow depth of field, cinematic realism.
- Studio product photo of a minimalist watch on a matte surface, softbox lighting, crisp shadow, premium advertising look.
- Cozy café interior at night, warm tungsten lighting, rain on windows, film still composition, subtle grain.
Negative prompt examples
- blurry, low resolution, deformed hands, extra fingers, bad anatomy
- watermark, logo, text, caption, jpeg artifacts
- oversaturated, cartoonish, plastic skin, uncanny face
Best practices
- Use negative_prompt sparingly; focus your main prompt on what you want.
- Keep the first sentence concrete, then add camera/lighting constraints.
- Fix seed when iterating on prompt wording for controlled comparisons.
Imagen4 API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/imagen4 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Imagen4 below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/imagen4" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"negative_prompt": "blurry, low quality, distorted",
"aspect_ratio": "1:1",
"num_images": 1,
"seed": 0
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/imagen4", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"negative_prompt": "blurry, low quality, distorted",
"aspect_ratio": "1:1",
"num_images": 1,
"seed": 0
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/imagen4",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"negative_prompt": "blurry, low quality, distorted",
"aspect_ratio": "1:1",
"num_images": 1,
"seed": 0
}
)
print(output["outputs"][0]) # → URL of the generated outputImagen4 API — Frequently asked questions
What is the Imagen4 API?
Imagen4 is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. Imagen 4 is an AI image generator that produces detailed, high-quality images up to 2K across diverse styles and subjects. 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 Imagen4 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/imagen4.
How much does Imagen4 cost per run?
Imagen4 starts at $0.040 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 Imagen4 accept?
Key inputs: `prompt`, `aspect_ratio`, `seed`, `negative_prompt`, `num_images`. 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/imagen4.
How long does Imagen4 take to generate?
Average end-to-end generation time on WaveSpeedAI is around 22 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Can I use Imagen4 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.