Image Generation

curl -X POST 'https://ai.im.inc/api/v1/images/generate' \
  -H "Authorization: Bearer $IMMERSIVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "White Lamborghini parked on the side of the road in Paris, with one Eiffel Tower far in the background, at night",
  "aspect_ratio": "16:9",
  "output_format": "webp"
}'

# Set JOB_ID to the response's "id", then poll every few seconds until the job has finished:
curl "https://ai.im.inc/api/v1/images/$JOB_ID" \
  -H "Authorization: Bearer $IMMERSIVE_API_KEY"

# The finished response has the result at output.generated_image_url.

const headers = { Authorization: `Bearer ${process.env.IMMERSIVE_API_KEY}` };

const response = await fetch("https://ai.im.inc/api/v1/images/generate", {
  method: "POST",
  headers: { ...headers, "Content-Type": "application/json" },
  body: JSON.stringify({
    "prompt": "White Lamborghini parked on the side of the road in Paris, with one Eiffel Tower far in the background, at night",
    "aspect_ratio": "16:9",
    "output_format": "webp"
  }),
});
const job = await response.json();

// Poll every few seconds while the job is still running.
const running = ["pending", "queued", "submitted", "starting", "processing", "running", "streaming", "in_queue", "in_progress"];
let result;
do {
  await new Promise((resolve) => setTimeout(resolve, 5000));
  result = await (await fetch(`https://ai.im.inc/api/v1/images/${job.id}`, { headers })).json();
} while (running.includes(String(result.status).toLowerCase()));

console.log(result.output.generated_image_url);

import os
import time

import requests

headers = {"Authorization": f"Bearer {os.environ['IMMERSIVE_API_KEY']}"}

job = requests.post(
    "https://ai.im.inc/api/v1/images/generate",
    headers=headers,
    json={
        "prompt": "White Lamborghini parked on the side of the road in Paris, with one Eiffel Tower far in the background, at night",
        "aspect_ratio": "16:9",
        "output_format": "webp",
    },
    timeout=300,
).json()

# Poll every few seconds while the job is still running.
running = {"pending", "queued", "submitted", "starting", "processing", "running", "streaming", "in_queue", "in_progress"}
while True:
    time.sleep(5)
    result = requests.get(f"https://ai.im.inc/api/v1/images/{job['id']}", headers=headers, timeout=60).json()
    if str(result.get("status", "")).lower() not in running:
        break

print(result["output"]["generated_image_url"])

{
    "id": "48bs7swg0nrme0ct1hk8aw5dhc",
    "meta": "{\"input\": {\"prompt\": \"White Lamborghini parked on the side of the road in Paris, with one Eiffel Tower far in the background, at night\", \"go_fast\": true, \"megapixels\": \"1\", \"num_outputs\": 1, \"aspect_ratio\": \"16:9\", \"output_format\": \"webp\", \"output_quality\": 90, \"negative_prompt\": null, \"num_inference_steps\": 4}}",
    "seed": "3235374771",
    "error": null,
    "output": {
        "prompt": "White Lamborghini parked on the side of the road in Paris, with one Eiffel Tower far in the background, at night",
        "generated_image_url": "https://s3.huotari.ai/immersive/examples/outputs/740737b8-f410-4401-8804-c75605a0d8ad/output.generated_image_url.jpeg",
        "all_generated_image_urls": []
    },
    "status": "succeeded",
    "num_outputs": 0,
    "nsfw_detected": false,
    "generator_used": "flux_schnell"
}

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