Phota Text-to-Image generates high-quality personalized photographs from text prompts. Supports 1K and 4K resolutions, multiple aspect ratios, and batch generation up to 4 images. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.09per run·~11 / $1

Elderly twin sisters sitting side by side on a weathered porch, different expressions — one laughing, one lost in memory, hands intertwined, wearing faded floral dresses, afternoon light through oak trees dappling across their faces, 35mm film grain, tender and melancholic

A middle-aged female warrior queen, intricate gold ceremonial armor with battle scars, long silver braided hair adorned with rubies, sitting on a throne of obsidian, torchlight casting dramatic chiaroscuro shadows, intense gaze, oil painting realism, hyper detailed, 8k
Phota Text-to-Image generates high-quality, photorealistic images directly from natural language descriptions. Describe your subject, scene, lighting, and style — the model produces detailed, visually rich results at up to 4K resolution, with flexible aspect ratio and output format control.
Photorealistic image generation Produces richly detailed images with accurate composition, lighting, and texture from detailed text prompts.
Up to 4K resolution Generate images at 1K or 4K for everything from social media to print-quality output.
Flexible aspect ratio support Output in auto, 1:1, 16:9, 4:3, 3:4, or 9:16 to fit any platform or format.
Multiple output formats Export in JPEG, PNG, or WebP for any downstream workflow.
Batch generation Generate multiple image variations in a single run using the num_images parameter.
Prompt Enhancer Built-in tool to automatically improve your text descriptions for richer results.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image subject, scene, lighting, style, and mood. |
| resolution | No | Output resolution: 1K (default) or 4K. |
| num_images | No | Number of images to generate per run. Default: 1. |
| aspect_ratio | No | Output aspect ratio: auto (default), 1:1, 16:9, 4:3, 3:4, 9:16. |
| output_format | No | Output file format: jpeg (default), png, or webp. |
| Resolution | Cost per Image |
|---|---|
| 1K | $0.09 |
| 4K | $0.18 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/phota/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 Phota Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/phota/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",
"resolution": "1K",
"num_images": 1,
"aspect_ratio": "auto",
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# 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/phota/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1K",
"num_images": 1,
"aspect_ratio": "auto",
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/phota/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1K",
"num_images": 1,
"aspect_ratio": "auto",
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputPhota Text To Image is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. Phota Text-to-Image generates high-quality personalized photographs from text prompts. Supports 1K and 4K resolutions, multiple aspect ratios, and batch generation up to 4 images. 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/phota-text-to-image.
Phota Text To Image starts at $0.090 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`, `resolution`, `enable_base64_output`, `enable_sync_mode`, `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/phota-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.