How does HappyHorse 1.1 compare with Seedance 2.5?

HappyHorse 1.1 focuses on high-quality short-form video generation and audiovisual synchronization, while Seedance 2.5 emphasizes longer videos and large-scale multimodal reference control.

What video resolutions does HappyHorse 1.1 support?

HappyHorse 1.1 supports both 720p and 1080p output modes.

Can HappyHorse 1.1 generate videos from text prompts?

Yes. HappyHorse 1.1 supports text-to-video generation and can create 720p or 1080p videos from detailed text prompts.

Does HappyHorse 1.1 support image-to-video generation?

Yes. Users can upload an image and animate it into a short video sequence with optional prompt guidance.

Can HappyHorse 1.1 create videos with synchronized audio?

The HappyHorse family is built around a unified audio-video architecture that generates visual and audio elements together, improving synchronization and lip-sync quality.

Is HappyHorse 1.1 suitable for commercial content creation?

Yes. It is designed for advertising, marketing, social media production, storytelling, and other professional video-generation use cases.

Does HappyHorse 1.1 support reference-based video generation?

Yes. The model includes reference-to-video workflows that allow creators to use existing visual assets to guide generation.

What improvements does HappyHorse 1.1 offer over HappyHorse 1.0?

HappyHorse 1.1 improves prompt understanding, motion smoothness, temporal consistency, and overall video quality across T2V, I2V, and R2V workflows.

Aliyun

Available

happyhorse-1.1

Happy Horse 1.1 API

HappyHorse 1.1 is a multimodal video-generation model designed for professional content creation, advertising, short films, social media production, and storytelling. It extends the capabilities of HappyHorse 1.0—which gained significant attention after ranking highly in independent video-generation evaluations—with stronger scene coherence and improved visual fidelity.

Starting price

$0.112 / second

Usage-based billing

API health

Available

Production endpoint

Response

Async ready

Observed API response

Released

Jun 29, 2026

Aliyun

Playground

Try Happy Horse 1.1 with a real request, review its parameters and validate the output before integrating the API.

Pricing

Use the quick estimate above for a single run, then review the full CometAPI and official-price comparison.

5-second test

$0.5600

Estimated CometAPI usage cost

10-second test

$1.12

Estimated CometAPI usage cost

15-second test

$1.68

Estimated CometAPI usage cost

Minimum charge transparency This prototype does not assume a hidden per-request minimum. If a production billing floor or minimum top-up applies, it must be displayed before purchase and included in every budget estimate.

Happyhorse Video Generation Pricing

Pricing (Per Second)

Model	720p	1080p
`happyhorse-1.1`	$0.112	$0.144

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

Model brief

A stable model identity for search and evaluation, paired with live catalog data that can change without rewriting the page's core SEO structure.

Stable identity

What is Happy Horse 1.1?

Canonical model identity stays stable as pricing and limits change.

Live model data

Current catalog snapshot

Availability

Available

Starting price

$0.112 / second

Context

See capabilities

Catalog date

Jun 29, 2026

Overview

A practical overview of Happy Horse 1.1, including important behavior and integration considerations.

Technical Specifications of HappyHorse 1.1

Item	HappyHorse 1.1
Provider	Alibaba
Model Type	AI Video Generation
Generation Modes	Text-to-Video (T2V), Image-to-Video (I2V), Reference-to-Video (R2V)
Input Types	Text, Images, Reference Media
Output Types	Video
Resolution	720p and 1080p supported
Video Duration	3–15 seconds
Aspect Ratios	16:9, 9:16, 1:1, 4:3, 3:4, 4:5, 5:4, 9:21, 21:9
Prompt Length	Up to 5,000 non-Chinese characters
Commercial Usage	Supported through API partners
Primary Focus	Cinematic video generation with synchronized audio and motion consistency

HappyHorse 1.1 is the successor to HappyHorse 1.0, Alibaba's high-performing AI video model. The 1.1 release improves prompt adherence, motion quality, temporal consistency, and reference-based generation workflows while maintaining support for text-to-video, image-to-video, and reference-to-video generation.

What is HappyHorse 1.1?

Unlike many video models that generate silent video first and add audio later, the HappyHorse architecture is known for jointly modeling video and audio generation, helping maintain lip-sync accuracy and audiovisual consistency.

Core Capabilities of Happy Horse 1.1 API

Text-to-Video Generation

Happy Horse 1.1 can convert detailed prompts into short AI-generated videos with stronger semantic understanding and more accurate prompt adherence. It supports multilingual prompts and is suitable for cinematic scenes, product visuals, social media clips, storytelling videos, and creative concept generation.

Image-to-Video Generation

With image-to-video support, Happy Horse 1.1 can animate a static image while preserving key visual details such as character identity, product appearance, background composition, and artistic style. This makes it useful for ecommerce videos, character animation, app demos, social media ads, and branded visual content.

Reference-to-Video Generation

Happy Horse 1.1 supports reference-based video generation using multiple images. According to Kie.ai’s HappyHorse-1.1 page, reference-to-video workflows can use up to 9 reference images, helping developers guide subject appearance, scene composition, style, and creative direction more precisely.

Flexible Video Controls

Happy Horse 1.1 supports common production controls including 720p and 1080p resolution options, multiple aspect ratios such as 16:9, 9:16, 1:1, 4:3, 3:4, 4:5, 5:4, 9:21, and 21:9, and video durations from 3 to 15 seconds. These options make it suitable for both horizontal video, vertical short-form content, square social media posts, and ultra-wide cinematic previews.

Stronger Motion and Consistency

Happy Horse 1.1 focuses on smoother movement, more realistic character actions, improved camera transitions, and stronger identity preservation. For workflows that require the same character, product, or brand asset to remain visually stable across generations, this consistency is one of the model’s main advantages.

Happy Horse 1.1 API vs Seedance 2.0 API

Feature	Happy Horse 1.1 API	Seedance 2.0 API
Best for	Character consistency, reference-to-video, brand-controlled video generation	Cinematic text-to-video, multimodal video generation, audio-video workflows
Main workflows	Text-to-video, image-to-video, reference-to-video	Text, image, video, and audio-based generation depending on integration
Reference support	Up to 9 reference images on Kie.ai	CometAPI’s Seedance 2.0 guide describes broader multimodal references, including images, video, and audio
Output duration	3-15 seconds	Commonly 4-15 seconds
Resolution	720p and 1080p	Varies by tier; CometAPI materials mention 480p/720p and up to 2K in some tiers
Strength	Preserving characters, style, objects, and reference-image intent	Director-style motion, native audio-video generation, cinematic prompt execution
Recommended use	Product demos, virtual characters, brand videos, story scenes, consistent visual assets	Marketing videos, cinematic shorts, social media clips, audio-synced content

Choose Happy Horse 1.1 API when your workflow depends on visual consistency, reference image control, character preservation, or brand-safe repeatability. Choose Seedance 2.0 API when you need stronger audio-video generation, cinematic prompt interpretation, or more complex multimodal direction.

How to Build with HappyHorse 1.1 API on CometAPI

Step 1: Get Your API Key

Create a CometAPI account, generate an API key, and verify the current HappyHorse 1.1 model(happyhorse-1.1) identifier available through the platform and check HappyHorse API doc.

Step 2: Prompt

Provide text prompts, upload images, or add reference images to guide the HappyHorse-1.1 video generation process.

Step 3: Generate video

Create a HappyHorse text-to-video task through CometAPI with POST /v1/videos, then poll the task and download the completed MP4 file. If the task is still running, the API returns a JSON error instead of video bytes.

What Can You Build with Happy Horse 1.1 API on CometAPI?

AI Video Generator Apps

Build a full AI video creation platform that supports text-to-video, image-to-video, and reference-to-video generation through one API layer.

Product Demo Videos

Turn product photos into short motion clips for ecommerce, SaaS launches, mobile apps, hardware showcases, and digital advertising.

Character-Consistent Storytelling

Create narrative videos, virtual influencers, animated brand characters, and social media story clips while keeping character identity and visual style consistent.

Brand and Marketing Content

Use reference images to preserve brand assets, colors, product design, mascot appearance, campaign style, and scene direction across multiple video outputs.

Creative Prototyping

Generate concept videos, mood boards, storyboard previews, pitch materials, and short-form campaign drafts before investing in full production.

Why Choose Happy Horse 1.1 API on CometAPI?

One API for 500+ Models

CometAPI provides unified access to 500+ AI models, including text, image, audio, and video generation models. Developers can integrate once and switch models without rebuilding their application.

Lower Integration Overhead

Instead of managing separate accounts, credentials, billing systems, and API formats for every model provider, CometAPI gives teams a single API key and unified access layer.

Easier Model Comparison

Happy Horse 1.1 can be tested alongside other video models such as Seedance, Kling, Veo, and Sora-style models. This helps teams compare quality, cost, latency, and prompt performance before choosing a production model.

Built for Production Video Workflows

CometAPI supports async video generation patterns, task polling, usage tracking, and model routing, making it easier to move from prototype to production.

FAQ

API

Copy a working endpoint and code example, then open the complete API reference when you need every parameter.

One API, production-ready model access

Authenticate once, call the model endpoint and keep the same billing and observability workflow across providers.

POST/v1/videosGET/v1/videos/{task_id}/contentGET/v1/videos/{task_id}

Sample code and API for Happy Horse 1.1

Access comprehensive sample code and API resources for Happy Horse 1.1 to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of Happy Horse 1.1 in your projects.

POST

/v1/videos

GET

/v1/videos/{task_id}/content

GET

/v1/videos/{task_id}

# Create a video with happyhorse-1.1
# Step 1: Submit the video generation request
echo "Submitting video generation request..."
response=$(curl -s https://api.cometapi.com/v1/videos \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -F "model=happyhorse-1.1" \
  -F "prompt=A close-up cinematic shot of a ceramic coffee cup on a wooden table. Steam rises slowly while morning light moves across the background." \
  -F "seconds=3" \
  -F "size=1920x1080")

echo "Response: $response"

# Extract video_id from response (handle JSON with spaces like "id": "xxx")
video_id=$(echo "$response" | tr -d '
' | sed 's/.*"id"[[:space:]]*:[[:space:]]*"\([^"]*\)".*/\1/')
echo "Video ID: $video_id"

# Step 2: Poll for progress until 100%
echo ""
echo "Checking video generation progress..."
while true; do
  status_response=$(curl -s "https://api.cometapi.com/v1/videos/$video_id" \
    -H "Authorization: Bearer $COMETAPI_KEY")

  progress=$(echo "$status_response" | grep -o '"progress"[[:space:]]*:[[:space:]]*"\?[^",}]*"\?' | head -1 | sed 's/.*:[[:space:]]*"\?//;s/"$//')
  status=$(echo "$status_response" | grep -o '"status"[[:space:]]*:[[:space:]]*"[^"]*"' | head -1 | sed 's/.*"status"[[:space:]]*:[[:space:]]*"//;s/"$//')

  echo "Progress: $progress, Status: $status"

  if [ "$status" = "FAILURE" ] || [ "$status" = "failed" ] || [ "$status" = "error" ]; then
    echo "Video generation failed!"
    exit 1
  fi

  if [ "$progress" = "100%" ] || [ "$progress" = "100" ] || [ "$status" = "completed" ] || [ "$status" = "success" ]; then
    echo "Video generation completed!"
    break
  fi

  sleep 10
done

# Step 3: Download the video to output directory
echo ""
echo "Downloading video to ./output/$video_id.mp4..."
mkdir -p ./output
curl -s "https://api.cometapi.com/v1/videos/$video_id/content" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -o "./output/$video_id.mp4"

if [ -f "./output/$video_id.mp4" ]; then
  echo "Video saved to ./output/$video_id.mp4"
  ls -la "./output/$video_id.mp4"
else
  echo "Failed to download video"
  exit 1
fi

cURL Code Example

# Create a video with happyhorse-1.1
# Step 1: Submit the video generation request
echo "Submitting video generation request..."
response=$(curl -s https://api.cometapi.com/v1/videos \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -F "model=happyhorse-1.1" \
  -F "prompt=A close-up cinematic shot of a ceramic coffee cup on a wooden table. Steam rises slowly while morning light moves across the background." \
  -F "seconds=3" \
  -F "size=1920x1080")

echo "Response: $response"

# Extract video_id from response (handle JSON with spaces like "id": "xxx")
video_id=$(echo "$response" | tr -d '\n' | sed 's/.*"id"[[:space:]]*:[[:space:]]*"\([^"]*\)".*/\1/')
echo "Video ID: $video_id"

# Step 2: Poll for progress until 100%
echo ""
echo "Checking video generation progress..."
while true; do
  status_response=$(curl -s "https://api.cometapi.com/v1/videos/$video_id" \
    -H "Authorization: Bearer $COMETAPI_KEY")

  progress=$(echo "$status_response" | grep -o '"progress"[[:space:]]*:[[:space:]]*"\?[^",}]*"\?' | head -1 | sed 's/.*:[[:space:]]*"\?//;s/"$//')
  status=$(echo "$status_response" | grep -o '"status"[[:space:]]*:[[:space:]]*"[^"]*"' | head -1 | sed 's/.*"status"[[:space:]]*:[[:space:]]*"//;s/"$//')

  echo "Progress: $progress, Status: $status"

  if [ "$status" = "FAILURE" ] || [ "$status" = "failed" ] || [ "$status" = "error" ]; then
    echo "Video generation failed!"
    exit 1
  fi

  if [ "$progress" = "100%" ] || [ "$progress" = "100" ] || [ "$status" = "completed" ] || [ "$status" = "success" ]; then
    echo "Video generation completed!"
    break
  fi

  sleep 10
done

# Step 3: Download the video to output directory
echo ""
echo "Downloading video to ./output/$video_id.mp4..."
mkdir -p ./output
curl -s "https://api.cometapi.com/v1/videos/$video_id/content" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -o "./output/$video_id.mp4"

if [ -f "./output/$video_id.mp4" ]; then
  echo "Video saved to ./output/$video_id.mp4"
  ls -la "./output/$video_id.mp4"
else
  echo "Failed to download video"
  exit 1
fi

Python Code Example

# Create a video with happyhorse-1.1 using raw HTTP requests
import os
import time
import requests

api_key = os.environ.get("COMETAPI_KEY")
base_url = "https://api.cometapi.com/v1"
headers = {"Authorization": f"Bearer {api_key}"}
prompt = "A close-up cinematic shot of a ceramic coffee cup on a wooden table. Steam rises slowly while morning light moves across the background."

# Step 1: Submit the video generation request
print("Submitting video generation request...")
response = requests.post(
    f"{base_url}/videos",
    headers=headers,
    files={
        "model": (None, "happyhorse-1.1"),
        "prompt": (None, prompt),
        "seconds": (None, "3"),
        "size": (None, "1920x1080"),
    },
)

result = response.json()
print(f"Response: {result}")

video_id = result.get("id") or result.get("task_id")
print(f"Video ID: {video_id}")

# Step 2: Poll for progress until 100%
print("\nChecking video generation progress...")
while True:
    try:
        status_response = requests.get(f"{base_url}/videos/{video_id}", headers=headers)
        status_result = status_response.json()

        data = status_result.get("data") or status_result
        progress = data.get("progress", "0%")
        status = data.get("status", "unknown")

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

        if status in ["FAILURE", "failed", "error"]:
            print("Video generation failed!")
            print(status_result)
            exit(1)

        if progress == "100%" or progress == 100 or status in ["completed", "success"]:
            print("Video generation completed!")
            break
    except Exception as e:
        print(f"Temporary error: {e}, retrying...")

    time.sleep(10)

# Step 3: Download the video to output directory
print(f"\nDownloading video to ./output/{video_id}.mp4...")
os.makedirs("./output", exist_ok=True)

video_response = requests.get(f"{base_url}/videos/{video_id}/content", headers=headers)

output_path = f"./output/{video_id}.mp4"
with open(output_path, "wb") as f:
    f.write(video_response.content)

if os.path.exists(output_path):
    file_size = os.path.getsize(output_path)
    print(f"Video saved to {output_path}")
    print(f"File size: {file_size} bytes")
else:
    print("Failed to download video")
    exit(1)

JavaScript Code Example

// Create a video with happyhorse-1.1 using raw HTTP requests
import fs from "fs";
import path from "path";

const apiKey = process.env.COMETAPI_KEY;
const baseUrl = "https://api.cometapi.com/v1";
const headers = { Authorization: `Bearer ${apiKey}` };
const prompt = "A close-up cinematic shot of a ceramic coffee cup on a wooden table. Steam rises slowly while morning light moves across the background.";

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

// Step 1: Submit the video generation request
console.log("Submitting video generation request...");
const formData = new FormData();
formData.append("model", "happyhorse-1.1");
formData.append("prompt", prompt);
formData.append("seconds", "3");
formData.append("size", "1920x1080");

const submitResponse = await fetch(`${baseUrl}/videos`, {
  method: "POST",
  headers,
  body: formData,
});

const result = await submitResponse.json();
console.log("Response:", JSON.stringify(result, null, 2));

const videoId = result.id || result.task_id;
console.log("Video ID:", videoId);

// Step 2: Poll for progress until 100%
console.log("\nChecking video generation progress...");
while (true) {
  try {
    const statusResponse = await fetch(`${baseUrl}/videos/${videoId}`, { headers });
    const statusResult = await statusResponse.json();
    const data = statusResult.data || statusResult;
    const progress = data.progress || "0%";
    const status = data.status || "unknown";

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

    if (status === "FAILURE" || status === "failed" || status === "error") {
      console.log("Video generation failed!");
      console.log(JSON.stringify(statusResult, null, 2));
      process.exit(1);
    }

    if (progress === "100%" || progress === 100 || status === "completed" || status === "success") {
      console.log("Video generation completed!");
      break;
    }
  } catch (e) {
    console.log(`Temporary error: ${e.message}, retrying...`);
  }

  await sleep(10000);
}

// Step 3: Download the video to output directory
console.log(`\nDownloading video to ./output/${videoId}.mp4...`);
fs.mkdirSync("./output", { recursive: true });

const videoResponse = await fetch(`${baseUrl}/videos/${videoId}/content`, { headers });
const outputPath = path.join("./output", `${videoId}.mp4`);
fs.writeFileSync(outputPath, Buffer.from(await videoResponse.arrayBuffer()));

if (fs.existsSync(outputPath)) {
  const stats = fs.statSync(outputPath);
  console.log(`Video saved to ${outputPath}`);
  console.log(`File size: ${stats.size} bytes`);
} else {
  console.log("Failed to download video");
  process.exit(1);
}

Capabilities

Scan the model facts that matter before you choose an architecture or estimate production workload.

Supported capabilities

Features returned by the existing model API.

text-to-video

image-to-video

Input and output

Inputs

text

Outputs

video

Production profile

Provider: Aliyun
Context: Model specific
Commercial use: Supported

Use cases

Use Happy Horse 1.1 for production workflows that match its video capabilities, then compare alternatives before committing to a long-term integration.

Text-to-video concepts and social content

Product demos and cinematic storyboards

Image-to-video motion and creative iteration

Other models

Compare other models available through CometAPI for different quality, latency, capability and pricing trade-offs.

Open model comparison →

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Wan2.6 is a video generation model designed for stable and efficient video synthesis. It provides reliable visual quality and smooth motion generation for general video creation tasks.

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FLUX 3 - Real World Models: Towards Multimodal Flow Models as the Backbone of Visual Intelligence.

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Wan2.7

Wan2.7 is a video generation model designed for high-quality visual synthesis and improved motion consistency. It is suitable for cinematic content creation and professional video production workflows.

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Happy Horse 1.0 — A high-quality audio-video generation model that supports text-to-video and image-to-video creation. It can generate synchronized visuals, audio, and lip movements, making it suitable for short films, advertising creatives, and product showcases.

View model

Uptime

Review live heartbeat data, endpoint availability and observed response times before moving into production.

Uptime

Request success rate over the last 30 days, reflecting the reliability of each model provider. CometAPI monitors all connected providers in real time, 24/7.

Respond

141300msAvg. Response

Uptime

96.4%Avg. Uptime

Versions

Review available model identifiers before pinning a production integration.

happyhorse-1.1

Updates

Follow meaningful availability, pricing and capability changes for Happy Horse 1.1 without losing the stable model page.

Model changelog

One page that gets stronger over time.

Release notes, pricing changes, benchmark updates and migration guidance accumulate here while the canonical URL stays unchanged.

Jun 29, 2026

API availability confirmed

Happy Horse 1.1 is available through the CometAPI model catalog and API documentation.

Current

Live data

Pricing and limits synced from the catalog

Price, context, availability and limits are treated as dynamic properties instead of being embedded in the page title or model identity.

Jun 23, 2026

Permanent model entity created

The provider and model slug form a durable canonical URL; future content and data updates remain on this page.

Keep exploring

Compare models and continue your research

Aliyun

Available

happyhorse-1.1

Happy Horse 1.1 API

Starting price

$0.112 / second

Usage-based billing

API health

Available

Production endpoint

Response

Async ready

Observed API response

Released

Jun 29, 2026

Aliyun

Playground

Try Happy Horse 1.1 with a real request, review its parameters and validate the output before integrating the API.

Pricing

Use the quick estimate above for a single run, then review the full CometAPI and official-price comparison.

5-second test

$0.5600

Estimated CometAPI usage cost

10-second test

$1.12

Estimated CometAPI usage cost

15-second test

$1.68

Estimated CometAPI usage cost

Happyhorse Video Generation Pricing

Pricing (Per Second)

Model	720p	1080p
`happyhorse-1.1`	$0.112	$0.144

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

Model brief

A stable model identity for search and evaluation, paired with live catalog data that can change without rewriting the page's core SEO structure.

Stable identity

What is Happy Horse 1.1?

Canonical model identity stays stable as pricing and limits change.

Live model data

Current catalog snapshot

Availability

Available

Starting price

$0.112 / second

Context

See capabilities

Catalog date

Jun 29, 2026

Overview

A practical overview of Happy Horse 1.1, including important behavior and integration considerations.

Technical Specifications of HappyHorse 1.1

Item	HappyHorse 1.1
Provider	Alibaba
Model Type	AI Video Generation
Generation Modes	Text-to-Video (T2V), Image-to-Video (I2V), Reference-to-Video (R2V)
Input Types	Text, Images, Reference Media
Output Types	Video
Resolution	720p and 1080p supported
Video Duration	3–15 seconds
Aspect Ratios	16:9, 9:16, 1:1, 4:3, 3:4, 4:5, 5:4, 9:21, 21:9
Prompt Length	Up to 5,000 non-Chinese characters
Commercial Usage	Supported through API partners
Primary Focus	Cinematic video generation with synchronized audio and motion consistency

What is HappyHorse 1.1?

Core Capabilities of Happy Horse 1.1 API

Text-to-Video Generation

Image-to-Video Generation

Reference-to-Video Generation

Flexible Video Controls

Stronger Motion and Consistency

Happy Horse 1.1 API vs Seedance 2.0 API

Feature	Happy Horse 1.1 API	Seedance 2.0 API
Best for	Character consistency, reference-to-video, brand-controlled video generation	Cinematic text-to-video, multimodal video generation, audio-video workflows
Main workflows	Text-to-video, image-to-video, reference-to-video	Text, image, video, and audio-based generation depending on integration
Reference support	Up to 9 reference images on Kie.ai	CometAPI’s Seedance 2.0 guide describes broader multimodal references, including images, video, and audio
Output duration	3-15 seconds	Commonly 4-15 seconds
Resolution	720p and 1080p	Varies by tier; CometAPI materials mention 480p/720p and up to 2K in some tiers
Strength	Preserving characters, style, objects, and reference-image intent	Director-style motion, native audio-video generation, cinematic prompt execution
Recommended use	Product demos, virtual characters, brand videos, story scenes, consistent visual assets	Marketing videos, cinematic shorts, social media clips, audio-synced content

How to Build with HappyHorse 1.1 API on CometAPI

Step 1: Get Your API Key

Create a CometAPI account, generate an API key, and verify the current HappyHorse 1.1 model(happyhorse-1.1) identifier available through the platform and check HappyHorse API doc.

Step 2: Prompt

Provide text prompts, upload images, or add reference images to guide the HappyHorse-1.1 video generation process.

Step 3: Generate video

What Can You Build with Happy Horse 1.1 API on CometAPI?

AI Video Generator Apps

Build a full AI video creation platform that supports text-to-video, image-to-video, and reference-to-video generation through one API layer.

Product Demo Videos

Turn product photos into short motion clips for ecommerce, SaaS launches, mobile apps, hardware showcases, and digital advertising.

Character-Consistent Storytelling

Create narrative videos, virtual influencers, animated brand characters, and social media story clips while keeping character identity and visual style consistent.

Brand and Marketing Content

Use reference images to preserve brand assets, colors, product design, mascot appearance, campaign style, and scene direction across multiple video outputs.

Creative Prototyping

Generate concept videos, mood boards, storyboard previews, pitch materials, and short-form campaign drafts before investing in full production.

Why Choose Happy Horse 1.1 API on CometAPI?

One API for 500+ Models

CometAPI provides unified access to 500+ AI models, including text, image, audio, and video generation models. Developers can integrate once and switch models without rebuilding their application.

Lower Integration Overhead

Instead of managing separate accounts, credentials, billing systems, and API formats for every model provider, CometAPI gives teams a single API key and unified access layer.

Easier Model Comparison

Built for Production Video Workflows

CometAPI supports async video generation patterns, task polling, usage tracking, and model routing, making it easier to move from prototype to production.

FAQ

API

Copy a working endpoint and code example, then open the complete API reference when you need every parameter.

One API, production-ready model access

Authenticate once, call the model endpoint and keep the same billing and observability workflow across providers.

POST/v1/videosGET/v1/videos/{task_id}/contentGET/v1/videos/{task_id}

Sample code and API for Happy Horse 1.1

POST

/v1/videos

GET

/v1/videos/{task_id}/content

GET

/v1/videos/{task_id}

# Create a video with happyhorse-1.1
# Step 1: Submit the video generation request
echo "Submitting video generation request..."
response=$(curl -s https://api.cometapi.com/v1/videos \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -F "model=happyhorse-1.1" \
  -F "prompt=A close-up cinematic shot of a ceramic coffee cup on a wooden table. Steam rises slowly while morning light moves across the background." \
  -F "seconds=3" \
  -F "size=1920x1080")

echo "Response: $response"

# Extract video_id from response (handle JSON with spaces like "id": "xxx")
video_id=$(echo "$response" | tr -d '
' | sed 's/.*"id"[[:space:]]*:[[:space:]]*"\([^"]*\)".*/\1/')
echo "Video ID: $video_id"

# Step 2: Poll for progress until 100%
echo ""
echo "Checking video generation progress..."
while true; do
  status_response=$(curl -s "https://api.cometapi.com/v1/videos/$video_id" \
    -H "Authorization: Bearer $COMETAPI_KEY")

  progress=$(echo "$status_response" | grep -o '"progress"[[:space:]]*:[[:space:]]*"\?[^",}]*"\?' | head -1 | sed 's/.*:[[:space:]]*"\?//;s/"$//')
  status=$(echo "$status_response" | grep -o '"status"[[:space:]]*:[[:space:]]*"[^"]*"' | head -1 | sed 's/.*"status"[[:space:]]*:[[:space:]]*"//;s/"$//')

  echo "Progress: $progress, Status: $status"

  if [ "$status" = "FAILURE" ] || [ "$status" = "failed" ] || [ "$status" = "error" ]; then
    echo "Video generation failed!"
    exit 1
  fi

  if [ "$progress" = "100%" ] || [ "$progress" = "100" ] || [ "$status" = "completed" ] || [ "$status" = "success" ]; then
    echo "Video generation completed!"
    break
  fi

  sleep 10
done

# Step 3: Download the video to output directory
echo ""
echo "Downloading video to ./output/$video_id.mp4..."
mkdir -p ./output
curl -s "https://api.cometapi.com/v1/videos/$video_id/content" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -o "./output/$video_id.mp4"

if [ -f "./output/$video_id.mp4" ]; then
  echo "Video saved to ./output/$video_id.mp4"
  ls -la "./output/$video_id.mp4"
else
  echo "Failed to download video"
  exit 1
fi

cURL Code Example

# Create a video with happyhorse-1.1
# Step 1: Submit the video generation request
echo "Submitting video generation request..."
response=$(curl -s https://api.cometapi.com/v1/videos \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -F "model=happyhorse-1.1" \
  -F "prompt=A close-up cinematic shot of a ceramic coffee cup on a wooden table. Steam rises slowly while morning light moves across the background." \
  -F "seconds=3" \
  -F "size=1920x1080")

echo "Response: $response"

# Extract video_id from response (handle JSON with spaces like "id": "xxx")
video_id=$(echo "$response" | tr -d '\n' | sed 's/.*"id"[[:space:]]*:[[:space:]]*"\([^"]*\)".*/\1/')
echo "Video ID: $video_id"

# Step 2: Poll for progress until 100%
echo ""
echo "Checking video generation progress..."
while true; do
  status_response=$(curl -s "https://api.cometapi.com/v1/videos/$video_id" \
    -H "Authorization: Bearer $COMETAPI_KEY")

  progress=$(echo "$status_response" | grep -o '"progress"[[:space:]]*:[[:space:]]*"\?[^",}]*"\?' | head -1 | sed 's/.*:[[:space:]]*"\?//;s/"$//')
  status=$(echo "$status_response" | grep -o '"status"[[:space:]]*:[[:space:]]*"[^"]*"' | head -1 | sed 's/.*"status"[[:space:]]*:[[:space:]]*"//;s/"$//')

  echo "Progress: $progress, Status: $status"

  if [ "$status" = "FAILURE" ] || [ "$status" = "failed" ] || [ "$status" = "error" ]; then
    echo "Video generation failed!"
    exit 1
  fi

  if [ "$progress" = "100%" ] || [ "$progress" = "100" ] || [ "$status" = "completed" ] || [ "$status" = "success" ]; then
    echo "Video generation completed!"
    break
  fi

  sleep 10
done

# Step 3: Download the video to output directory
echo ""
echo "Downloading video to ./output/$video_id.mp4..."
mkdir -p ./output
curl -s "https://api.cometapi.com/v1/videos/$video_id/content" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -o "./output/$video_id.mp4"

if [ -f "./output/$video_id.mp4" ]; then
  echo "Video saved to ./output/$video_id.mp4"
  ls -la "./output/$video_id.mp4"
else
  echo "Failed to download video"
  exit 1
fi

Python Code Example

# Create a video with happyhorse-1.1 using raw HTTP requests
import os
import time
import requests

api_key = os.environ.get("COMETAPI_KEY")
base_url = "https://api.cometapi.com/v1"
headers = {"Authorization": f"Bearer {api_key}"}
prompt = "A close-up cinematic shot of a ceramic coffee cup on a wooden table. Steam rises slowly while morning light moves across the background."

# Step 1: Submit the video generation request
print("Submitting video generation request...")
response = requests.post(
    f"{base_url}/videos",
    headers=headers,
    files={
        "model": (None, "happyhorse-1.1"),
        "prompt": (None, prompt),
        "seconds": (None, "3"),
        "size": (None, "1920x1080"),
    },
)

result = response.json()
print(f"Response: {result}")

video_id = result.get("id") or result.get("task_id")
print(f"Video ID: {video_id}")

# Step 2: Poll for progress until 100%
print("\nChecking video generation progress...")
while True:
    try:
        status_response = requests.get(f"{base_url}/videos/{video_id}", headers=headers)
        status_result = status_response.json()

        data = status_result.get("data") or status_result
        progress = data.get("progress", "0%")
        status = data.get("status", "unknown")

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

        if status in ["FAILURE", "failed", "error"]:
            print("Video generation failed!")
            print(status_result)
            exit(1)

        if progress == "100%" or progress == 100 or status in ["completed", "success"]:
            print("Video generation completed!")
            break
    except Exception as e:
        print(f"Temporary error: {e}, retrying...")

    time.sleep(10)

# Step 3: Download the video to output directory
print(f"\nDownloading video to ./output/{video_id}.mp4...")
os.makedirs("./output", exist_ok=True)

video_response = requests.get(f"{base_url}/videos/{video_id}/content", headers=headers)

output_path = f"./output/{video_id}.mp4"
with open(output_path, "wb") as f:
    f.write(video_response.content)

if os.path.exists(output_path):
    file_size = os.path.getsize(output_path)
    print(f"Video saved to {output_path}")
    print(f"File size: {file_size} bytes")
else:
    print("Failed to download video")
    exit(1)

JavaScript Code Example

// Create a video with happyhorse-1.1 using raw HTTP requests
import fs from "fs";
import path from "path";

const apiKey = process.env.COMETAPI_KEY;
const baseUrl = "https://api.cometapi.com/v1";
const headers = { Authorization: `Bearer ${apiKey}` };
const prompt = "A close-up cinematic shot of a ceramic coffee cup on a wooden table. Steam rises slowly while morning light moves across the background.";

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

// Step 1: Submit the video generation request
console.log("Submitting video generation request...");
const formData = new FormData();
formData.append("model", "happyhorse-1.1");
formData.append("prompt", prompt);
formData.append("seconds", "3");
formData.append("size", "1920x1080");

const submitResponse = await fetch(`${baseUrl}/videos`, {
  method: "POST",
  headers,
  body: formData,
});

const result = await submitResponse.json();
console.log("Response:", JSON.stringify(result, null, 2));

const videoId = result.id || result.task_id;
console.log("Video ID:", videoId);

// Step 2: Poll for progress until 100%
console.log("\nChecking video generation progress...");
while (true) {
  try {
    const statusResponse = await fetch(`${baseUrl}/videos/${videoId}`, { headers });
    const statusResult = await statusResponse.json();
    const data = statusResult.data || statusResult;
    const progress = data.progress || "0%";
    const status = data.status || "unknown";

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

    if (status === "FAILURE" || status === "failed" || status === "error") {
      console.log("Video generation failed!");
      console.log(JSON.stringify(statusResult, null, 2));
      process.exit(1);
    }

    if (progress === "100%" || progress === 100 || status === "completed" || status === "success") {
      console.log("Video generation completed!");
      break;
    }
  } catch (e) {
    console.log(`Temporary error: ${e.message}, retrying...`);
  }

  await sleep(10000);
}

// Step 3: Download the video to output directory
console.log(`\nDownloading video to ./output/${videoId}.mp4...`);
fs.mkdirSync("./output", { recursive: true });

const videoResponse = await fetch(`${baseUrl}/videos/${videoId}/content`, { headers });
const outputPath = path.join("./output", `${videoId}.mp4`);
fs.writeFileSync(outputPath, Buffer.from(await videoResponse.arrayBuffer()));

if (fs.existsSync(outputPath)) {
  const stats = fs.statSync(outputPath);
  console.log(`Video saved to ${outputPath}`);
  console.log(`File size: ${stats.size} bytes`);
} else {
  console.log("Failed to download video");
  process.exit(1);
}

Capabilities

Scan the model facts that matter before you choose an architecture or estimate production workload.

Supported capabilities

Features returned by the existing model API.

text-to-video

image-to-video

Input and output

Inputs

text

Outputs

video

Production profile

Provider: Aliyun
Context: Model specific
Commercial use: Supported

Use cases

Use Happy Horse 1.1 for production workflows that match its video capabilities, then compare alternatives before committing to a long-term integration.

Text-to-video concepts and social content

Product demos and cinematic storyboards

Image-to-video motion and creative iteration

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Flux

Flux 3

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Uptime

Review live heartbeat data, endpoint availability and observed response times before moving into production.

Uptime

Request success rate over the last 30 days, reflecting the reliability of each model provider. CometAPI monitors all connected providers in real time, 24/7.

Respond

141300msAvg. Response

Uptime

96.4%Avg. Uptime

Versions

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happyhorse-1.1

Updates

Follow meaningful availability, pricing and capability changes for Happy Horse 1.1 without losing the stable model page.

Model changelog

One page that gets stronger over time.

Release notes, pricing changes, benchmark updates and migration guidance accumulate here while the canonical URL stays unchanged.

Jun 29, 2026

API availability confirmed

Happy Horse 1.1 is available through the CometAPI model catalog and API documentation.

Current

Live data

Pricing and limits synced from the catalog

Price, context, availability and limits are treated as dynamic properties instead of being embedded in the page title or model identity.

Jun 23, 2026

Permanent model entity created

The provider and model slug form a durable canonical URL; future content and data updates remain on this page.

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