Recraft V3 (red_panda) is a state-of-the-art text-to-image model that excels with long text prompts and generates diverse, high-fidelity images across many styles. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Inattivo

$0.04per esecuzione·~25 / $1

Ultra-realistic portrait of a young woman with windswept hair, wearing a leather jacket, golden hour lighting, 85mm lens, cinematic color grading, visible skin texture and pores

A middle-aged man sitting by a window in a Parisian café, moody lighting, warm tones, high-detail wrinkles and textures, photorealistic

Elven warrior queen in silver armor, long flowing hair, glowing sword, standing in a misty enchanted forest, magical light, high detail, cinematic fantasy style

Father holding his baby in a sunlit park, candid emotion, detailed facial features, colorful autumn background, bokeh effect, Leica look

Teenage girl in a school uniform standing on a rainy street in Tokyo, neon reflections on the ground, umbrella in hand, captured with shallow depth of field

High fashion model posing in a minimalist studio, dramatic shadow play, sharp cheekbones, avant-garde makeup, Vogue editorial style, high resolution

Street style portrait of a Gen Z fashion influencer in oversized jacket and sneakers, urban background, natural light, detailed facial expression and accessories

Renaissance-style oil painting of a noblewoman in a velvet dress, holding a rose, soft Rembrandt lighting, detailed brush textures, realistic eyes and skin

A cute golden retriever, sitting on the grass

Close-up portrait of a freckled teenage girl with messy hair and intense green eyes

Ultra-realistic portrait of a young woman with windswept hair, wearing a leather jacket, golden hour lighting, 85mm lens, cinematic color grading, visible skin texture and pores
Generate stunning images across a vast range of artistic styles with Recraft V3. From ultra-realistic portraits to pixel art and hand-drawn illustrations, this versatile model offers one of the most extensive style libraries available — perfect for any creative vision.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
| aspect_ratio | No | Output format: 1:1, 16:9, 9:16, 4:3, 3:4, etc. Default: 1:1. |
| style | No | Visual style preset (see Style Guide below). |
Flat rate per image generation.
| Output | Cost |
|---|---|
| Per image | $0.04 |
| Style | Description |
|---|---|
| realistic_image | Ultra-photorealistic output with fine details |
| Style | Description |
|---|---|
| digital_illustration | General digital artwork |
| digital_illustration/pixel_art | Retro pixel-based graphics |
| digital_illustration/hand_drawn | Traditional hand-drawn aesthetic |
| digital_illustration/grain | Textured, grainy illustration style |
| digital_illustration/infantile_sketch | Childlike sketch aesthetic |
| digital_illustration/2d_art_poster | Bold poster art style |
| digital_illustration/handmade_3d | Crafted 3D-style illustrations |
| digital_illustration/hand_drawn_outline | Clean outline-based art |
| digital_illustration/engraving_color | Colored engraving aesthetic |
| digital_illustration/psychedelic | Trippy, vibrant psychedelic art |
| digital_illustration/pop_art | Bold pop art style |
| digital_illustration/watercolor | Watercolor painting effect |
| digital_illustration/japanese_ink | Traditional Japanese ink wash |
| digital_illustration/glow | Glowing, luminous effects |
| digital_illustration/stencil | Cut-out stencil aesthetic |
| digital_illustration/sticker_designs | Sticker-ready graphics |
| ...and more | Additional styles available |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v3 with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Recraft v3 below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"style": "realistic_image"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v3" \
-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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v3";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"style": "realistic_image"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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));
}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",
"aspect_ratio": "1:1",
"style": "realistic_image"
}
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/recraft-ai/recraft-v3", 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)Recraft v3 is a Recraft model for image generation, exposed as a REST API on WaveSpeedAI. Recraft V3 (red_panda) is a state-of-the-art text-to-image model that excels with long text prompts and generates diverse, high-fidelity images across many styles. 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 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/recraft-ai/recraft-ai-recraft-v3.
Recraft v3 starts at $0.040 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`, `enable_base64_output`, `style`. 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/recraft-ai/recraft-ai-recraft-v3.
Median end-to-end generation time on WaveSpeedAI is around 9 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Recraft). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.