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Flux 1 Srpo Image to Image

wavespeed-ai /

FLUX.1 SRPO [dev] is a 12B-parameter flow transformer for high-quality image-to-image conversions that produce commercial visuals. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
Đầu vào

Chờ

$0.025cho mỗi lần chạy·~40 / $1

Tiếp theo:

Mô hình liên quan

README

flux-1-srpo/image-to-image

FLUX.1 SRPO [dev] is a 12-billion-parameter rectified flow transformer designed to enhance and reimagine images with exceptional clarity and aesthetic balance. It excels at high-quality image restoration, upscaling, and stylization — producing sharp, detailed results suitable for both personal and commercial use.

🌟 Key Features

  • Next-Generation Super-Resolution Enhances image sharpness and texture detail while preserving natural color balance.

  • Aesthetic Refinement Improves visual composition and lighting consistency for art, portraits, and photography.

  • Flexible Style Fidelity Retains the original artistic tone or applies subtle enhancement depending on your prompt.

  • Wide Format Support Outputs in both JPEG and PNG for web, print, or design workflows.

  • Developer-Friendly [dev] Build Offers faster inference and adjustable parameters for integration and research testing.

⚙️ Capabilities

  • Input: Image (JPEG / PNG)
  • Output: Enhanced image (JPEG / PNG)
  • Supported Tasks: Super-resolution, refinement, detail recovery, aesthetic enhancement

💰 Pricing

Per image just need $0.025 !!!

💡 Best Use Cases

  • Photography & Retouching — Sharpen, restore, or elevate existing visuals.
  • Design & Media Production — Create polished assets for advertising and social content.
  • AI Art Enhancement — Refine outputs from generative models with smoother tones and richer detail.
  • Commercial Print & Branding — Prepare upscale, high-fidelity assets for professional production.

📝 Notes

  • Clear, high-resolution inputs produce the best enhancement results.
  • For heavily stylized or low-detail images, subtle artifacts may appear.
  • Available output formats: JPEG or PNG.
Lưu ý:Trang web này sử dụng các mô hình AI do bên thứ ba cung cấp.

Flux 1 Srpo Image To Image API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-1-srpo/image-to-image 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 Flux 1 Srpo Image To Image 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",
    "strength": 0.8,
    "num_inference_steps": 28,
    "seed": -1,
    "guidance_scale": 3.5,
    "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/flux-1-srpo/image-to-image" \
  -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/wavespeed-ai/flux-1-srpo/image-to-image";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "strength": 0.8,
        "num_inference_steps": 28,
        "seed": -1,
        "guidance_scale": 3.5,
        "output_format": "jpeg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "strength": 0.8,
    "num_inference_steps": 28,
    "seed": -1,
    "guidance_scale": 3.5,
    "output_format": "jpeg"
}

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/wavespeed-ai/flux-1-srpo/image-to-image", 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)

Flux 1 Srpo Image To Image API — Frequently asked questions

What is the Flux 1 Srpo Image To Image API?

Flux 1 Srpo Image To Image is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. FLUX.1 SRPO [dev] is a 12B-parameter flow transformer for high-quality image-to-image conversions that produce commercial visuals. 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 Flux 1 Srpo Image To Image 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/wavespeed-ai/flux-1-srpo-image-to-image.

How much does Flux 1 Srpo Image To Image cost per run?

Flux 1 Srpo Image To Image starts at $0.025 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 Flux 1 Srpo Image To Image accept?

Key inputs: `prompt`, `image`, `seed`, `guidance_scale`, `num_inference_steps`, `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/wavespeed-ai/flux-1-srpo-image-to-image.

How long does Flux 1 Srpo Image To Image take to generate?

Median end-to-end generation time on WaveSpeedAI is around 4 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 Flux 1 Srpo Image To Image 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.

Flux 1 Srpo Image to Image | Fast Image Editing API | WaveSpeedAI