Phota Text To Image API Documentation

Phota Text To Image API Documentation

Playground

Try it 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.

Features

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.


Why Choose This?

  • 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.


Parameters

ParameterRequiredDescription
promptYesText description of the image subject, scene, lighting, style, and mood.
resolutionNoOutput resolution: 1K (default) or 4K.
num_imagesNoNumber of images to generate per run. Default: 1.
aspect_ratioNoOutput aspect ratio: auto (default), 1:1, 16:9, 4:3, 3:4, 9:16.
output_formatNoOutput file format: jpeg (default), png, or webp.

How to Use

  1. Write your prompt — describe the subject, scene, lighting, camera style, and mood in detail. Use the Prompt Enhancer for better results.
  2. Select resolution — 1K for standard output, 4K for high-resolution results.
  3. Set num_images (optional) — generate multiple variations in one run.
  4. Choose aspect ratio — use auto or select a specific format for your target platform.
  5. Choose output format — jpeg, png, or webp based on your delivery needs.
  6. Submit — generate and download your images.

Pricing

ResolutionCost per Image
1K$0.09
4K$0.18

Billing Rules

  • 1K: $0.09 per image
  • 4K: $0.18 per image (2× base price)
  • Total cost = cost per image × num_images

Best Use Cases

  • Marketing & Advertising — Produce on-brand campaign visuals at production-ready resolutions without a photoshoot.
  • E-commerce — Generate product lifestyle imagery and scene compositions from text descriptions.
  • Concept Art & Storyboarding — Rapidly visualize scenes, characters, and environments for pitching and review.
  • Social Media Content — Create platform-optimized visuals across multiple aspect ratios in one workflow.
  • Print & Editorial — Generate 4K-resolution imagery for magazines, posters, and print campaigns.

Pro Tips

  • The more specific your prompt, the better — include camera angle, lighting quality, color palette, and subject detail.
  • Use the Prompt Enhancer to expand a simple description into a richly detailed generation prompt.
  • Generate 3–4 images at 1K to explore variations before committing to a 4K final render.
  • Use PNG output for images with text overlays, sharp graphics, or lossless delivery requirements.
  • Match aspect ratio to your platform: 16:9 for YouTube and banners, 9:16 for Reels and Stories, 1:1 for feeds.

Notes

  • Only prompt is required; all other parameters are optional.
  • Please ensure your content complies with WaveSpeed AI’s usage policies.

  • Phota Edit — Edit existing images with natural-language instructions.
  • Phota Enhance — Restore and upscale images with AI-powered detail reconstruction.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "resolution": "1K",
  "num_images": 1,
  "aspect_ratio": "auto",
  "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/phota/text-to-image" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

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

# 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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Text description of the desired image.
resolutionstringNo1K1K, 4KResolution of the generated image.
num_imagesintegerNo11 ~ 4Number of images to generate.
aspect_ratiostringNoautoauto, 1:1, 16:9, 4:3, 3:4, 9:16Aspect ratio of the generated image.
output_formatstringNojpegjpeg, png, webpThe format of the generated image.
enable_sync_modebooleanNofalse-If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models.
enable_base64_outputbooleanNofalse-If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
© 2026 WaveSpeedAI. All rights reserved.