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Photon Flash Modify

luma /

Luma Photon Flash Modify is a text-to-image model optimized for creative image generation and prompt-driven modifications. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
Ввод

Ожидание

Replace “y2ek” with “y2k” on the shirt.

$0.01за запуск·~100 / $1

Далее:

ПримерыСмотреть всё

Turned into anime style

Turned into anime style

Replace “y2ek” with “y2k” on the shirt.

Replace “y2ek” with “y2k” on the shirt.

Let this polar bear walk on the desert

Let this polar bear walk on the desert

Change the background to a volcano

Change the background to a volcano

Turn her hair red

Turn her hair red

Change the background to the runway.

Change the background to the runway.

Turning clothes into gorgeous gowns

Turning clothes into gorgeous gowns

Put some sunglasses on him.

Put some sunglasses on him.

Change the background to seaside

Change the background to seaside

Change the background to street.

Change the background to street.

Add an earring to the woman's ear

Add an earring to the woman's ear

Remove the yarn ball

Remove the yarn ball

Remove the dragon's hot air balloon

Remove the dragon's hot air balloon

Похожие модели

README

Luma Photon Flash Modify

Edit images at lightning speed with Luma Photon Flash Modify. This ultra-fast model handles text replacement, element modifications, and quick edits with minimal cost — perfect for high-volume workflows, rapid iteration, and simple image adjustments.

Looking for higher quality? Try Luma Photon Modify for enhanced output.

Why It Looks Great

  • Flash speed: Optimized for the fastest possible generation.
  • Text replacement: Edit text directly within images seamlessly.
  • Natural language editing: Describe changes in plain English.
  • Ultra-affordable: Just $0.01 per image — the lowest cost option.
  • Prompt Enhancer: Built-in tool to refine your editing instructions.
  • High-volume ready: Perfect for batch processing at scale.

Parameters

ParameterRequiredDescription
promptYesText instruction describing the edit or modification you want.
imageNoSource image to modify (upload or public URL).

How to Use

  1. Write your edit instruction — describe what you want to change.
  2. Use Prompt Enhancer (optional) — click to refine your instruction.
  3. Upload your image — drag and drop or paste a public URL.
  4. Run — click the button to apply the edit.
  5. Download — preview and save your modified image.

Pricing

Flat rate per image.

OutputCost
Per image$0.01

Best Use Cases

  • Text Replacement — Fix typos, update text, or change words within images.
  • Quick Fixes — Make simple adjustments and corrections rapidly.
  • High-Volume Editing — Process large batches of images affordably.
  • Rapid Iteration — Test edit concepts quickly before final production.
  • E-commerce Updates — Quickly modify product text and labels.

Example Prompts

  • "Replace 'y2ek' with 'y2k' on the shirt"
  • "Change the text from 'SALE' to 'NEW'"
  • "Fix the spelling of 'recieve' to 'receive'"
  • "Replace the logo text with 'BRAND'"
  • "Change '2024' to '2025' on the banner"
  • "Update the price tag from '$99' to '$79'"

Model Comparison

ModelCostSpeedBest For
Photon Flash Modify$0.01FastestText edits, quick fixes, high-volume
Photon Modify$0.015FastBackground replacement, scene changes

Pro Tips for Best Results

  • Flash is ideal for text corrections and simple modifications.
  • Be precise about what to change: specify the original and replacement text.
  • Use quotes around text to be replaced for clarity.
  • At $0.01 per image, experiment freely to find the best result.
  • For complex scene changes or background swaps, consider Photon Modify.
  • Perfect for fixing typos, updating dates, or changing labels.

Notes

  • If using a URL, ensure it is publicly accessible.
  • Flash mode prioritizes speed — ideal for quick edits and high volume.
  • Best for text modifications and simple element changes.
  • For more complex edits, use the standard Photon Modify model.
Примечание:Этот сайт использует модели ИИ, предоставляемые третьими лицами.

Photon Flash Modify API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/luma/photon-flash-modify 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 Photon Flash Modify 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"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/luma/photon-flash-modify" \
  -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=$(printf '%s' "$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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/luma/photon-flash-modify";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  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"
}

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/luma/photon-flash-modify", 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 = task.get("urls", {}).get("get") or 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"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Photon Flash Modify API — Frequently asked questions

What is the Photon Flash Modify API?

Photon Flash Modify is a Luma model for image editing, exposed as a REST API on WaveSpeedAI. Luma Photon Flash Modify is a text-to-image model optimized for creative image generation and prompt-driven modifications. 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 Photon Flash Modify 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/luma/luma-photon-flash-modify.

How much does Photon Flash Modify cost per run?

Photon Flash Modify 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.

What inputs does Photon Flash Modify accept?

Key inputs: `prompt`, `image`, `enable_base64_output`. 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/luma/luma-photon-flash-modify.

How long does Photon Flash Modify take to generate?

Median end-to-end generation time on WaveSpeedAI is around 14 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 Photon Flash Modify outputs commercially?

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

Photon Flash Modify | Fast Image Editing API | WaveSpeedAI