Nucleus Image generates high-quality images from text prompts with flexible aspect ratios, adjustable inference steps, and classifier-free guidance. Supports negative prompts, reproducible seeds, and multiple output formats. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.01per run·~100 / $1

A young woman in a beige trench coat sits by the window of a nearly empty subway car at 11:47 PM, cradling a bouquet of white baby's breath that's begun to wilt. A faded lipstick print stains the rim of her half-finished coffee cup; her eyes gaze blankly at the tunnel lights streaking past. At the far end of the car, a man in black-framed glasses watches her quietly — a concert ticket slipping from between his fingers. Cold white fluorescent ceiling light, faint fog condensation on the window glass, subtle reflections, 35mm film grain, Kodak Portra 400 aesthetic, cinematic 2.39:1 widescreen.

A Martian base greenhouse, 2089. An American female botanist in her 40s kneels on the soil, staring through her helmet visor at the first sunflower ever grown on another planet. Rust-red Martian dust clings to her white spacesuit sleeves; her name tag reads "Dr. Lin." Outside the greenhouse dome: an orange Martian horizon with two small moons rising. In her other hand, she grips a folded, well-worn family photograph. Grounded sci-fi realism, soft diffused light, emotional contrast between warmth and desolation.
Nucleus Image Text-to-Image generates high-quality images from text prompts with precise control over inference steps, guidance scale, and aspect ratio. An affordable, flexible text-to-image model built for creative and production workflows.
Fine-grained generation control Adjust inference steps (1–100) and guidance scale (0–20) to tune the balance between creativity and prompt adherence.
Negative prompt support Specify what to exclude from the output for more precise control over the result.
Multiple aspect ratio presets Choose from 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, or 2:3 to match any platform or format.
Batch generation Generate up to 2 images per run for quick side-by-side comparison.
Reproducible results Use the seed parameter to lock in a specific output for consistent iteration.
Output format choice Export in PNG or JPEG based on your delivery requirements.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image subject, style, and mood. |
| negative_prompt | No | Elements to exclude from the generated image. |
| aspect_ratio | No | Output aspect ratio. Options: 1:1 (default), 16:9, 9:16, 4:3, 3:4, 3:2, 2:3. |
| num_images | No | Number of images to generate per run: 1 (default) or 2. |
| num_inference_steps | No | Number of inference steps. Range: 1–100. Default: 50. |
| guidance_scale | No | Classifier-free guidance scale. Range: 0–20. Default: 8. |
| output_format | No | Output file format: png (default) or jpeg. |
| seed | No | Random seed for reproducible results. |
Just $0.01 per image.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/nucleus-image/text-to-image 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 Nucleus Image Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/nucleus-image/text-to-image" \
-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,
"num_inference_steps": 50,
"guidance_scale": 8,
"output_format": "png",
"enable_base64_output": false,
"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].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/nucleus-image/text-to-image", {
"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,
"num_inference_steps": 50,
"guidance_scale": 8,
"output_format": "png",
"enable_base64_output": false,
"seed": 0
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/nucleus-image/text-to-image",
{
"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,
"num_inference_steps": 50,
"guidance_scale": 8,
"output_format": "png",
"enable_base64_output": false,
"seed": 0
}
)
print(output["outputs"][0]) # → URL of the generated outputNucleus Image Text To Image is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. Nucleus Image generates high-quality images from text prompts with flexible aspect ratios, adjustable inference steps, and classifier-free guidance. Supports negative prompts, reproducible seeds, and multiple output formats. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
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/nucleus-image-text-to-image.
Nucleus Image Text To Image starts at $0.010 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.
Key inputs: `prompt`, `aspect_ratio`, `seed`, `guidance_scale`, `num_inference_steps`, `negative_prompt`. 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/nucleus-image-text-to-image.
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.
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.