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Home/Models/Aliyun/Happy Horse 1.0
Q

Happy Horse 1.0

Al Secondo:$0.112
Happy Horse 1.0 — un modello di generazione audio-video di alta qualità che supporta la creazione da testo a video e da immagine a video. Può generare contenuti visivi, audio e movimenti labiali sincronizzati, rendendolo adatto a cortometraggi, creatività pubblicitarie e presentazioni di prodotto.
Nuovo
Uso commerciale
Panoramica
Caratteristiche
Prezzi
API
Versioni

Specifiche tecniche di HappyHorse-1.0

VoceHappyHorse-1.0
ProviderAlibaba (riportato pubblicamente dopo il debutto anonimo nei benchmark)
Tipo di modelloGenerazione video multimodale con IA
InputTesto, Immagine
OutputVideo + Audio sincronizzato
ArchitetturaTransformer unificato a flusso singolo
Parametri~15B
RisoluzioneGenerazione 1080p nativa
Modalità di generazioneGenerazione congiunta audio-video
DenoisingInferenza distillata (~8 passaggi riportati)
Supporto lingueSincronizzazione labiale multilingue (riportate 7 lingue)

Che cos'è HappyHorse-1.0

HappyHorse-1.0 è un modello all'avanguardia per la generazione di video progettato per produrre video e audio sincronizzato in un’unica pipeline di generazione, invece di assemblare più modelli. Secondo resoconti pubblici, il modello è emerso in modo anonimo nelle arene di benchmark, per poi essere successivamente associato agli sforzi di IA di Alibaba.

A differenza dei sistemi testo-in-video convenzionali che generano prima i contenuti visivi e aggiungono il suono in un secondo momento, HappyHorse enfatizza la sincronizzazione nativa tra movimento, parlato, ambiente e tempistica.

Caratteristiche principali di HappyHorse-1.0

  • Generazione congiunta di audio + video in un solo passaggio
  • Output 1080p nativo anziché upscaling obbligatorio
  • Flussi di lavoro testo-in-video e immagine-in-video
  • Pipeline di generazione distillata e veloce
  • Sincronizzazione labiale multilingue
  • Movimenti di camera cinematografici e attenzione alla continuità delle scene

Prestazioni nei benchmark di HappyHorse-1.0

Secondo i report pubblici sui benchmark:

  • Artificial Analysis Arena:
    • Testo-in-video Elo: ~1330+
    • Immagine-in-video Elo: ~1390+
  • Classificato al primo posto o vicino ad esso nelle istantanee di classifiche pubbliche durante i periodi di rilascio iniziali.

Interpretazione dei benchmark: si tratta di punteggi di classifica basati su preferenze e non dovrebbero essere interpretati come valutazioni universali della qualità per tutti i carichi di lavoro in produzione.

HappyHorse-1.0 vs Modelli simili

CapacitàHappyHorse-1.0Seedance 2.0Kling 3.0
Audio + Video congiuntiSìSìParziale
1080p nativiSìSìSì
Orientamento al rilascio apertoAnnunciatoProprietarioProprietario
Testo→VideoSìSìSì
Immagine→VideoSìSìSì
Sincronizzazione labiale multilingue7 riportateMultilingueMultilingue

Come utilizzare HappyHorse-1.0 con CometAPI?

  1. Ottieni le credenziali API.
  2. Seleziona happyhorse-1.0.
  3. Invia richieste di generazione con prompt + opzioni di generazione.
  4. Recupera l'output multimediale generato.

FAQ

Can HappyHorse-1.0 generate audio together with video?

Yes. HappyHorse-1.0 generates synchronized audio and video together in one generation flow.

How does HappyHorse-1.0 compare with Seedance 2.0?

HappyHorse emphasizes unified generation and benchmark performance while Seedance focuses on commercial workflows.

Does HappyHorse-1.0 support image-to-video generation?

Yes. It supports both text-to-video and image-guided generation.

What resolution does HappyHorse-1.0 support?

Native 1080p output.

Is HappyHorse-1.0 suitable for advertising and cinematic content?

Yes, especially for short-form creative production.

What should I do if generation fails?

Retry with simpler prompts and fewer simultaneous constraints.

Prezzi per Happy Horse 1.0

Esplora i prezzi competitivi per Happy Horse 1.0, progettato per adattarsi a vari budget e necessità di utilizzo. I nostri piani flessibili garantiscono che paghi solo per quello che usi, rendendo facile scalare man mano che i tuoi requisiti crescono. Scopri come Happy Horse 1.0 può migliorare i tuoi progetti mantenendo i costi gestibili.

Happyhorse Video Generation Pricing

Pricing (Per Second)

Model720p1080p
happyhorse-1.0$0.112$0.192

💡 Billed per second. Total cost = price per second × video duration (seconds).

Codice di esempio e API per Happy Horse 1.0

Accedi a codice di esempio completo e risorse API per Happy Horse 1.0 per semplificare il tuo processo di integrazione. La nostra documentazione dettagliata fornisce una guida passo dopo passo, aiutandoti a sfruttare appieno il potenziale di Happy Horse 1.0 nei tuoi progetti.
POST
/v1/videos
Python
JavaScript
Curl
import json
import os
import time

import requests

MODEL = "happyhorse-1.0"
PROMPT = (
    "A miniature city built from cardboard and bottle caps comes alive at night. "
    "A tiny cardboard train rolls through the streets while warm lights glow from "
    "paper windows, physically realistic motion, detailed tabletop cinematography."
)
SECONDS = "3"
SIZE = "1280x720"
BASE_URL = "https://api.cometapi.com"
OUTPUT_DIR = "./output"
POLL_INTERVAL_SECONDS = 10
RETRY_DELAY_SECONDS = 5
MAX_CREATE_ATTEMPTS = 5
TERMINAL_STATUSES = {"completed", "failed", "error", "success"}
SUCCESS_STATUSES = {"completed", "success"}

try:
    COMETAPI_KEY = os.environ["COMETAPI_KEY"]
except KeyError:
    print("Set COMETAPI_KEY before running this example.")
    raise SystemExit(0)

headers = {"Authorization": f"Bearer {COMETAPI_KEY}"}

def is_progress_complete(progress):
    if isinstance(progress, (int, float)):
        return progress >= 100
    if isinstance(progress, str):
        try:
            return float(progress.rstrip("%")) >= 100
        except ValueError:
            return False
    return False

def is_transient_status(status_code):
    return status_code == 429 or 500 <= status_code < 600

def create_task():
    fields = {
        "model": (None, MODEL),
        "prompt": (None, PROMPT),
        "seconds": (None, SECONDS),
        "size": (None, SIZE),
    }
    for attempt in range(1, MAX_CREATE_ATTEMPTS + 1):
        try:
            response = requests.post(
                f"{BASE_URL}/v1/videos",
                headers=headers,
                files=fields,
                timeout=30,
            )
        except requests.RequestException as error:
            if attempt == MAX_CREATE_ATTEMPTS:
                raise
            print(f"Create request failed: {error}, retrying...")
            time.sleep(RETRY_DELAY_SECONDS)
            continue

        if response.ok:
            return response
        if not is_transient_status(response.status_code) or attempt == MAX_CREATE_ATTEMPTS:
            response.raise_for_status()
        print(f"Create request returned {response.status_code}, retrying...")
        time.sleep(RETRY_DELAY_SECONDS)
    raise SystemExit("Failed to create task.")

def get_task(task_id):
    while True:
        try:
            response = requests.get(
                f"{BASE_URL}/v1/videos/{task_id}",
                headers=headers,
                timeout=15,
            )
        except requests.RequestException as error:
            print(f"Status request failed: {error}, retrying...")
            time.sleep(RETRY_DELAY_SECONDS)
            continue

        if response.ok:
            return response
        if not is_transient_status(response.status_code):
            response.raise_for_status()
        print(f"Status request returned {response.status_code}, retrying...")
        time.sleep(RETRY_DELAY_SECONDS)

def download_video(content_url, output_path):
    while True:
        try:
            with requests.get(content_url, headers=headers, timeout=120, stream=True) as response:
                if response.ok:
                    with open(output_path, "wb") as output_file:
                        for chunk in response.iter_content(chunk_size=8192):
                            if chunk:
                                output_file.write(chunk)
                    return
                if not is_transient_status(response.status_code):
                    response.raise_for_status()
                print(f"Content request returned {response.status_code}, retrying...")
        except requests.RequestException as error:
            print(f"Content request failed: {error}, retrying...")
        time.sleep(RETRY_DELAY_SECONDS)

create_response = create_task()
create_result = create_response.json()

task_id = create_result.get("id") or create_result.get("task_id")
if not task_id:
    print(json.dumps(create_result, indent=2))
    raise SystemExit("No task id returned.")

print(f"Task created: {task_id}")
print(f"Initial status: {create_result.get('status')}")

while True:
    task_response = get_task(task_id)
    task = task_response.json()
    status = str(task.get("status") or "unknown")
    normalized_status = status.lower()
    progress = task.get("progress")
    should_download = normalized_status in SUCCESS_STATUSES or (
        normalized_status == "unknown" and is_progress_complete(progress)
    )

    print(f"Status: {status}, progress: {progress}")

    if should_download or normalized_status in TERMINAL_STATUSES:
        if not should_download:
            print(json.dumps(task, indent=2))
            raise SystemExit(1)

        content_url = f"{BASE_URL}/v1/videos/{task_id}/content"
        output_path = os.path.join(OUTPUT_DIR, f"{task_id}.mp4")
        os.makedirs(OUTPUT_DIR, exist_ok=True)
        download_video(content_url, output_path)

        print(f"Video URL: {task.get('video_url') or ''}")
        print(f"Content endpoint: {content_url}")
        print(f"Saved to {output_path}")
        print(f"File size: {os.path.getsize(output_path)} bytes")
        break

    time.sleep(POLL_INTERVAL_SECONDS)

Python Code Example

import json
import os
import time

import requests


MODEL = "happyhorse-1.0"
PROMPT = (
    "A miniature city built from cardboard and bottle caps comes alive at night. "
    "A tiny cardboard train rolls through the streets while warm lights glow from "
    "paper windows, physically realistic motion, detailed tabletop cinematography."
)
SECONDS = "3"
SIZE = "1280x720"
BASE_URL = "https://api.cometapi.com"
OUTPUT_DIR = "./output"
POLL_INTERVAL_SECONDS = 10
RETRY_DELAY_SECONDS = 5
MAX_CREATE_ATTEMPTS = 5
TERMINAL_STATUSES = {"completed", "failed", "error", "success"}
SUCCESS_STATUSES = {"completed", "success"}


try:
    COMETAPI_KEY = os.environ["COMETAPI_KEY"]
except KeyError:
    print("Set COMETAPI_KEY before running this example.")
    raise SystemExit(0)


headers = {"Authorization": f"Bearer {COMETAPI_KEY}"}


def is_progress_complete(progress):
    if isinstance(progress, (int, float)):
        return progress >= 100
    if isinstance(progress, str):
        try:
            return float(progress.rstrip("%")) >= 100
        except ValueError:
            return False
    return False


def is_transient_status(status_code):
    return status_code == 429 or 500 <= status_code < 600


def create_task():
    fields = {
        "model": (None, MODEL),
        "prompt": (None, PROMPT),
        "seconds": (None, SECONDS),
        "size": (None, SIZE),
    }
    for attempt in range(1, MAX_CREATE_ATTEMPTS + 1):
        try:
            response = requests.post(
                f"{BASE_URL}/v1/videos",
                headers=headers,
                files=fields,
                timeout=30,
            )
        except requests.RequestException as error:
            if attempt == MAX_CREATE_ATTEMPTS:
                raise
            print(f"Create request failed: {error}, retrying...")
            time.sleep(RETRY_DELAY_SECONDS)
            continue

        if response.ok:
            return response
        if not is_transient_status(response.status_code) or attempt == MAX_CREATE_ATTEMPTS:
            response.raise_for_status()
        print(f"Create request returned {response.status_code}, retrying...")
        time.sleep(RETRY_DELAY_SECONDS)
    raise SystemExit("Failed to create task.")


def get_task(task_id):
    while True:
        try:
            response = requests.get(
                f"{BASE_URL}/v1/videos/{task_id}",
                headers=headers,
                timeout=15,
            )
        except requests.RequestException as error:
            print(f"Status request failed: {error}, retrying...")
            time.sleep(RETRY_DELAY_SECONDS)
            continue

        if response.ok:
            return response
        if not is_transient_status(response.status_code):
            response.raise_for_status()
        print(f"Status request returned {response.status_code}, retrying...")
        time.sleep(RETRY_DELAY_SECONDS)


def download_video(content_url, output_path):
    while True:
        try:
            with requests.get(content_url, headers=headers, timeout=120, stream=True) as response:
                if response.ok:
                    with open(output_path, "wb") as output_file:
                        for chunk in response.iter_content(chunk_size=8192):
                            if chunk:
                                output_file.write(chunk)
                    return
                if not is_transient_status(response.status_code):
                    response.raise_for_status()
                print(f"Content request returned {response.status_code}, retrying...")
        except requests.RequestException as error:
            print(f"Content request failed: {error}, retrying...")
        time.sleep(RETRY_DELAY_SECONDS)


create_response = create_task()
create_result = create_response.json()

task_id = create_result.get("id") or create_result.get("task_id")
if not task_id:
    print(json.dumps(create_result, indent=2))
    raise SystemExit("No task id returned.")

print(f"Task created: {task_id}")
print(f"Initial status: {create_result.get('status')}")

while True:
    task_response = get_task(task_id)
    task = task_response.json()
    status = str(task.get("status") or "unknown")
    normalized_status = status.lower()
    progress = task.get("progress")
    should_download = normalized_status in SUCCESS_STATUSES or (
        normalized_status == "unknown" and is_progress_complete(progress)
    )

    print(f"Status: {status}, progress: {progress}")

    if should_download or normalized_status in TERMINAL_STATUSES:
        if not should_download:
            print(json.dumps(task, indent=2))
            raise SystemExit(1)

        content_url = f"{BASE_URL}/v1/videos/{task_id}/content"
        output_path = os.path.join(OUTPUT_DIR, f"{task_id}.mp4")
        os.makedirs(OUTPUT_DIR, exist_ok=True)
        download_video(content_url, output_path)

        print(f"Video URL: {task.get('video_url') or ''}")
        print(f"Content endpoint: {content_url}")
        print(f"Saved to {output_path}")
        print(f"File size: {os.path.getsize(output_path)} bytes")
        break

    time.sleep(POLL_INTERVAL_SECONDS)

JavaScript Code Example

import fs from "fs";
import path from "path";

const model = "happyhorse-1.0";
const prompt = "A miniature city built from cardboard and bottle caps comes alive at night. A tiny cardboard train rolls through the streets while warm lights glow from paper windows, physically realistic motion, detailed tabletop cinematography.";
const seconds = "3";
const size = "1280x720";
const api_key = process.env.COMETAPI_KEY;
const base_url = "https://api.cometapi.com";
const output_dir = "./output";
const poll_interval_ms = 10_000;
const retry_delay_ms = 5_000;
const max_create_attempts = 5;
const terminal_statuses = new Set(["completed", "failed", "error", "success"]);
const success_statuses = new Set(["completed", "success"]);

if (!api_key) {
  console.log("Set COMETAPI_KEY before running this example.");
  process.exit(0);
}

function is_progress_complete(progress) {
  if (typeof progress === "number") {
    return progress >= 100;
  }
  if (typeof progress === "string") {
    const numeric = Number(progress.replace(/%$/, ""));
    return Number.isFinite(numeric) && numeric >= 100;
  }
  return false;
}

function is_transient_status(status) {
  return status === 429 || status >= 500;
}

async function sleep(ms) {
  await new Promise((resolve) => setTimeout(resolve, ms));
}

async function fetch_with_retry(url, options, attempts, label) {
  for (let attempt = 1; attempt <= attempts; attempt += 1) {
    try {
      const response = await fetch(url, options);
      if (response.ok) {
        return response;
      }
      if (!is_transient_status(response.status) || attempt === attempts) {
        return response;
      }
      console.log(`${label} returned ${response.status}, retrying...`);
    } catch (error) {
      if (attempt === attempts) {
        throw error;
      }
      console.log(`${label} failed: ${error.message}, retrying...`);
    }
    await sleep(retry_delay_ms);
  }
  throw new Error(`${label} failed`);
}

async function fetch_status(task_id) {
  while (true) {
    try {
      const response = await fetch(`${base_url}/v1/videos/${task_id}`, { headers });
      if (response.ok) {
        return response;
      }
      if (!is_transient_status(response.status)) {
        return response;
      }
      console.log(`Status request returned ${response.status}, retrying...`);
    } catch (error) {
      console.log(`Status request failed: ${error.message}, retrying...`);
    }
    await sleep(retry_delay_ms);
  }
}

async function download_video(content_url, output_path) {
  while (true) {
    try {
      const response = await fetch(content_url, { headers });
      if (response.ok) {
        const video_buffer = Buffer.from(await response.arrayBuffer());
        fs.writeFileSync(output_path, video_buffer);
        return;
      }
      if (!is_transient_status(response.status)) {
        console.log(await response.text());
        process.exit(1);
      }
      console.log(`Content request returned ${response.status}, retrying...`);
    } catch (error) {
      console.log(`Content request failed: ${error.message}, retrying...`);
    }
    await sleep(retry_delay_ms);
  }
}

const form = new FormData();
form.set("model", model);
form.set("prompt", prompt);
form.set("seconds", seconds);
form.set("size", size);

const headers = { Authorization: `Bearer ${api_key}` };
const create_response = await fetch_with_retry(`${base_url}/v1/videos`, {
  method: "POST",
  headers,
  body: form,
}, max_create_attempts, "Create request");

if (!create_response.ok) {
  console.log(await create_response.text());
  process.exit(1);
}

const create_result = await create_response.json();
const task_id = create_result.id || create_result.task_id;

if (!task_id) {
  console.log(JSON.stringify(create_result, null, 2));
  process.exit(1);
}

console.log(`Task created: ${task_id}`);
console.log(`Initial status: ${create_result.status}`);

while (true) {
  const task_response = await fetch_status(task_id);

  if (!task_response.ok) {
    console.log(await task_response.text());
    process.exit(1);
  }

  const task = await task_response.json();
  const status = String(task.status || "unknown");
  const normalized_status = status.toLowerCase();
  const progress = task.progress;
  const should_download = success_statuses.has(normalized_status) || (
    normalized_status === "unknown" && is_progress_complete(progress)
  );

  console.log(`Status: ${status}, progress: ${progress}`);

  if (should_download || terminal_statuses.has(normalized_status)) {
    if (!should_download) {
      console.log(JSON.stringify(task, null, 2));
      process.exit(1);
    }

    const content_url = `${base_url}/v1/videos/${task_id}/content`;
    const output_path = path.join(output_dir, `${task_id}.mp4`);
    fs.mkdirSync(output_dir, { recursive: true });
    await download_video(content_url, output_path);

    console.log(`Video URL: ${task.video_url || ""}`);
    console.log(`Content endpoint: ${content_url}`);
    console.log(`Saved to ${output_path}`);
    console.log(`File size: ${fs.statSync(output_path).size} bytes`);
    break;
  }

  await sleep(poll_interval_ms);
}

Curl Code Example

#!/bin/bash

set -euo pipefail

if [[ -z "${COMETAPI_KEY:-}" ]]; then
  echo "Set COMETAPI_KEY before running this example."
  exit 0
fi

MODEL="happyhorse-1.0"
PROMPT='A miniature city built from cardboard and bottle caps comes alive at night. A tiny cardboard train rolls through the streets while warm lights glow from paper windows, physically realistic motion, detailed tabletop cinematography.'
VIDEO_SECONDS="3"
SIZE="1280x720"
BASE_URL="https://api.cometapi.com"
OUTPUT_DIR="./output"
POLL_INTERVAL_SECONDS=10
RETRY_DELAY_SECONDS=5
MAX_CREATE_ATTEMPTS=5

is_progress_complete() {
  local progress="$1"
  local normalized="${progress%%%}"

  if [[ -z "$normalized" ]]; then
    return 1
  fi

  [[ "$normalized" =~ ^[0-9]+([.][0-9]+)?$ ]] || return 1
  awk -v value="$normalized" 'BEGIN { exit !(value >= 100) }'
}

is_transient_status() {
  local status_code="$1"
  [[ "$status_code" == "429" || "$status_code" =~ ^5 ]]
}

create_task() {
  local attempt=1
  while (( attempt <= MAX_CREATE_ATTEMPTS )); do
    local response
    local status_code
    if ! response=$(curl -sS -w $'
%{http_code}' "${BASE_URL}/v1/videos"       -H "Authorization: Bearer $COMETAPI_KEY"       -F "model=${MODEL}"       -F "prompt=${PROMPT}"       -F "seconds=${VIDEO_SECONDS}"       -F "size=${SIZE}"); then
      if (( attempt == MAX_CREATE_ATTEMPTS )); then
        return 1
      fi
      echo "Create request failed, retrying..."
      sleep "$RETRY_DELAY_SECONDS"
      (( attempt += 1 ))
      continue
    fi

    status_code=$(echo "$response" | tail -n 1)
    CREATE_RESPONSE=$(echo "$response" | sed '$d')

    if [[ "$status_code" =~ ^2 ]]; then
      return 0
    fi

    if is_transient_status "$status_code" && (( attempt < MAX_CREATE_ATTEMPTS )); then
      echo "Create request returned ${status_code}, retrying..."
      sleep "$RETRY_DELAY_SECONDS"
      (( attempt += 1 ))
      continue
    fi

    echo "$CREATE_RESPONSE"
    return 1
  done
}

get_task() {
  local task_id="$1"
  while true; do
    local response
    local status_code
    if ! response=$(curl -sS -w $'
%{http_code}' "${BASE_URL}/v1/videos/${task_id}"       -H "Authorization: Bearer $COMETAPI_KEY"); then
      echo "Status request failed, retrying..."
      sleep "$RETRY_DELAY_SECONDS"
      continue
    fi

    status_code=$(echo "$response" | tail -n 1)
    TASK_RESPONSE=$(echo "$response" | sed '$d')

    if [[ "$status_code" =~ ^2 ]]; then
      return 0
    fi

    if is_transient_status "$status_code"; then
      echo "Status request returned ${status_code}, retrying..."
      sleep "$RETRY_DELAY_SECONDS"
      continue
    fi

    echo "$TASK_RESPONSE"
    return 1
  done
}

download_video() {
  local content_url="$1"
  local output_path="$2"

  while true; do
    if curl -fsS "$content_url"       -H "Authorization: Bearer $COMETAPI_KEY"       -o "$output_path"; then
      if [[ -s "$output_path" ]]; then
        return 0
      fi
      echo "Content download was empty, retrying..."
    else
      echo "Content request failed, retrying..."
    fi
    sleep "$RETRY_DELAY_SECONDS"
  done
}

create_task

TASK_ID=$(echo "$CREATE_RESPONSE" | jq -r '.id // .task_id // empty')

if [[ -z "$TASK_ID" ]]; then
  echo "$CREATE_RESPONSE" | jq .
  echo "No task id returned."
  exit 1
fi

echo "Task created: $TASK_ID"
echo "Initial status: $(echo "$CREATE_RESPONSE" | jq -r '.status // empty')"

while true; do
  get_task "$TASK_ID"

  STATUS=$(echo "$TASK_RESPONSE" | jq -r '.status // empty')
  NORMALIZED_STATUS=$(echo "$STATUS" | tr '[:upper:]' '[:lower:]')
  PROGRESS=$(echo "$TASK_RESPONSE" | jq -r '.progress // empty')
  SHOULD_DOWNLOAD=0

  if [[ "$NORMALIZED_STATUS" == "completed" || "$NORMALIZED_STATUS" == "success" ]]; then
    SHOULD_DOWNLOAD=1
  elif [[ "$NORMALIZED_STATUS" == "unknown" ]] && is_progress_complete "$PROGRESS"; then
    SHOULD_DOWNLOAD=1
  fi

  echo "Status: ${STATUS}, progress: ${PROGRESS}"

  if [[ "$SHOULD_DOWNLOAD" == "1" || "$NORMALIZED_STATUS" == "failed" || "$NORMALIZED_STATUS" == "error" ]]; then
    if [[ "$SHOULD_DOWNLOAD" != "1" ]]; then
      echo "$TASK_RESPONSE" | jq .
      exit 1
    fi

    VIDEO_URL=$(echo "$TASK_RESPONSE" | jq -r '.video_url // empty')
    CONTENT_URL="${BASE_URL}/v1/videos/${TASK_ID}/content"
    OUTPUT_PATH="${OUTPUT_DIR}/${TASK_ID}.mp4"

    mkdir -p "$OUTPUT_DIR"
    download_video "$CONTENT_URL" "$OUTPUT_PATH"

    echo "Video URL: ${VIDEO_URL}"
    echo "Content endpoint: ${CONTENT_URL}"
    echo "Saved to ${OUTPUT_PATH}"
    echo "File size: $(wc -c < "$OUTPUT_PATH" | tr -d ' ') bytes"
    break
  fi

  sleep "$POLL_INTERVAL_SECONDS"
done

Versioni di Happy Horse 1.0

Il motivo per cui Happy Horse 1.0 dispone di più snapshot può includere fattori potenziali come variazioni nell'output dopo aggiornamenti che richiedono snapshot precedenti per coerenza, offrire agli sviluppatori un periodo di transizione per l'adattamento e la migrazione, e diversi snapshot corrispondenti a endpoint globali o regionali per ottimizzare l'esperienza utente. Per le differenze dettagliate tra le versioni, si prega di fare riferimento alla documentazione ufficiale.
version
happyhorse-1.0