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29:Te89,# HappyHorse 1.1 â€” Text & Image to Video with Native Audio

## What is HappyHorse 1.1?

HappyHorse 1.1 is Alibaba's unified video-and-audio generation model, built by the Taotian Future Life Lab as the successor to HappyHorse 1.0 â€” the model that topped the Artificial Analysis Video Arena. Unlike pipelines that bolt dubbing on in post, HappyHorse generates video and synchronized native audio together in a single pass, so dialogue, ambience, and on-screen action line up from the first frame. It also delivers multilingual lip-sync, matching mouth movements to speech across languages like English, Mandarin, Japanese, Korean, German, and French.

On Segmind, `happyhorse-1.1` auto-detects three modes from your payload. Send a `prompt` alone for **text-to-video**, add an `image` first frame for **image-to-video**, or pass `reference_images` (up to nine) for **reference-to-video**. Outputs render at 720P or 1080P, in durations from 3 to 15 seconds, across 16:9, 9:16, 1:1, 4:3, and 3:4 aspect ratios.

## Key Features

- **Native synchronized audio** â€” video and audio are jointly generated, no separate dubbing step.
- **Multilingual lip-sync** â€” characters speak with accurate mouth movements across many languages.
- **Three auto-detected modes** â€” text-to-video, image-to-video, and reference-to-video from one endpoint.
- **Up to 9 reference images** â€” anchor characters, scenes, style, and products for multi-scene consistency.
- **720P / 1080P** output, **3â€“15s** duration, and flexible aspect ratios.
- **prompt_extend** LLM rewriting, **negative_prompt**, **seed**, and optional **watermark** controls.

## Best Use Cases

HappyHorse 1.1 shines for short-form ads and social clips that need character consistency across scenes, global marketing where a single prompt yields multilingual, lip-synced footage, and product or brand series anchored by reference images. Its 1.1 upgrades â€” improved semantic understanding, cinematic shot control, dynamic motion rendering, stronger subject and visual consistency, richer detail, and more natural character actions and physics â€” make it well suited to narrative shorts, explainers, music-driven scenes, and storyboard-to-video workflows.

## Prompt Tips and Output Quality

Write cinematic prompts: name the subject, the action, the camera move, the lighting, and any audio or dialogue cues. Keep `prompt_extend` on for short prompts to let the model add filmic detail, and turn it off when you need precise control. Use `negative_prompt` to suppress blur, artifacts, and text. For image-to-video, supply a clean first frame; for consistent characters across shots, pass reference images. Fix a `seed` to reproduce a result, and prefer 1080P for final delivery.

## FAQs

**Can I upload my own audio for lip-sync?** No. HappyHorse 1.1 generates its own native audio; it does not accept an external MP3 or WAV to drive lip-sync.

**How does it pick text-, image-, or reference-to-video?** The mode is auto-detected: prompt only is text-to-video, an `image` makes it image-to-video, and `reference_images` makes it reference-to-video.

**How many reference images can I use?** Up to nine, to anchor characters, environments, style, and products across scenes.

**What resolutions and durations are supported?** 720P or 1080P output, with durations from 3 to 15 seconds.

**Which aspect ratios are available?** 16:9, 9:16, 1:1, 4:3, and 3:4 (aspect ratio applies to text-to-video; it is ignored when an image is supplied).

**How is HappyHorse 1.1 different from 1.0?** It adds production native audio, multilingual lip-sync, up to nine reference images, 1080P, and improved motion, consistency, and detail.
2a:T786,# How to Use HappyHorse 1.1

HappyHorse 1.1 turns text, a first frame, or reference images into cinematic video with synchronized native audio and multilingual lip-sync. The endpoint auto-detects its mode from the payload, so you control the output entirely through which fields you send.

## Choose your mode

- **Text-to-video:** send `prompt` only. Best for original scenes and concepts. Set `aspect_ratio` (16:9 landscape, 9:16 vertical, 1:1 social) to frame the shot.
- **Image-to-video:** add an `image` first frame to animate an existing still. `aspect_ratio` is ignored here â€” the frame defines the shape.
- **Reference-to-video:** pass `reference_images` (up to nine) to lock characters, environments, style, or products across a multi-scene project.

## Tune the output

- **resolution:** use `720P` for fast drafts and iteration; switch to `1080P` for final, delivery-ready video.
- **duration:** 3â€“15 seconds. Use 3â€“5s for punchy social clips and 8â€“15s for fuller narrative beats.
- **prompt_extend:** keep `true` for short prompts so the model adds cinematic detail; set `false` when you want exact control over the wording.
- **negative_prompt:** suppress blur, artifacts, watermarks, or unwanted text.
- **seed:** fix a value to reproduce the same result; leave empty for fresh variations.
- **watermark:** keep `false` for clean production output.

## Prompting tips

Write like a director: name the subject, the motion, the camera move, the lighting, and any dialogue or ambient audio. Because audio is generated jointly with the video, spelling out speech and sound cues yields better lip-sync and atmosphere. For consistent characters across shots, reuse the same reference images and a fixed seed.

Pricing is per second and scales with resolution, so prototype at 720P with short durations, then render your final cut at 1080P once the prompt and references are dialed in.
2b:T536,## How Pricing Works

HappyHorse 1.1 uses per-second, resolution-based pricing. You pay based on the duration and resolution of the generated video. Shorter clips cost less, so you only pay for the output you need.

### Pricing Table

| Resolution | Rate | 3s Video | 5s Video | 10s Video | 15s Video |
|---|---|---|---|---|---|
| 720P | $0.2002/s | $0.60 | $1.00 | $2.00 | $3.00 |
| 1080P | $0.2574/s | $0.77 | $1.29 | $2.57 | $3.86 |

### Cost Optimization Tips

- Use 720P for iteration and prompt testing, then switch to 1080P only for final renders. 720P costs 22% less per second.
- Keep preview clips short (3-5 seconds) during prompt iteration. A 3-second 720P preview costs just $0.60.
- Prompt extension is free and significantly improves output quality on short prompts. Always enable it unless you need precise control.
- Audio-driven lip-sync and image-to-video modes cost the same as text-to-video at the same resolution and duration. No surcharge for advanced input types.

### Example Scenario

A marketing agency producing 20 social video ads per week: 15 preview renders at 720P, 5 seconds each ($1.00 x 15 = $15.00) plus 5 final 1080P renders at 5 seconds ($1.29 x 5 = $6.45). Weekly total: $21.45. Monthly: approximately $85.80 for 80 production-ready videos. 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2e:T5c2,{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.segmind.com/models/happyhorse-1.1#faq","mainEntity":[{"@type":"Question","name":"Can I upload my own audio for lip-sync?","acceptedAnswer":{"@type":"Answer","text":"No. HappyHorse 1.1 generates its own native audio; it does not accept an external MP3 or WAV to drive lip-sync."}},{"@type":"Question","name":"How does it pick text-, image-, or reference-to-video?","acceptedAnswer":{"@type":"Answer","text":"The mode is auto-detected: prompt only is text-to-video, an image makes it image-to-video, and reference_images makes it reference-to-video."}},{"@type":"Question","name":"How many reference images can I use?","acceptedAnswer":{"@type":"Answer","text":"Up to nine, to anchor characters, environments, style, and products across scenes."}},{"@type":"Question","name":"What resolutions and durations are supported?","acceptedAnswer":{"@type":"Answer","text":"720P or 1080P output, with durations from 3 to 15 seconds."}},{"@type":"Question","name":"Which aspect ratios are available?","acceptedAnswer":{"@type":"Answer","text":"16:9, 9:16, 1:1, 4:3, and 3:4 (aspect ratio applies to text-to-video; it is ignored when an image is supplied)."}},{"@type":"Question","name":"How is HappyHorse 1.1 different from 1.0?","acceptedAnswer":{"@type":"Answer","text":"It adds production native audio, multilingual lip-sync, up to nine reference images, 1080P, and improved motion, consistency, and detail."}}]}30:Te89,# HappyHorse 1.1 â€” Text & Image to Video with Native Audio

## What is HappyHorse 1.1?

HappyHorse 1.1 is Alibaba's unified video-and-audio generation model, built by the Taotian Future Life Lab as the successor to HappyHorse 1.0 â€” the model that topped the Artificial Analysis Video Arena. Unlike pipelines that bolt dubbing on in post, HappyHorse generates video and synchronized native audio together in a single pass, so dialogue, ambience, and on-screen action line up from the first frame. It also delivers multilingual lip-sync, matching mouth movements to speech across languages like English, Mandarin, Japanese, Korean, German, and French.

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## Key Features

- **Native synchronized audio** â€” video and audio are jointly generated, no separate dubbing step.
- **Multilingual lip-sync** â€” characters speak with accurate mouth movements across many languages.
- **Three auto-detected modes** â€” text-to-video, image-to-video, and reference-to-video from one endpoint.
- **Up to 9 reference images** â€” anchor characters, scenes, style, and products for multi-scene consistency.
- **720P / 1080P** output, **3â€“15s** duration, and flexible aspect ratios.
- **prompt_extend** LLM rewriting, **negative_prompt**, **seed**, and optional **watermark** controls.

## Best Use Cases

HappyHorse 1.1 shines for short-form ads and social clips that need character consistency across scenes, global marketing where a single prompt yields multilingual, lip-synced footage, and product or brand series anchored by reference images. Its 1.1 upgrades â€” improved semantic understanding, cinematic shot control, dynamic motion rendering, stronger subject and visual consistency, richer detail, and more natural character actions and physics â€” make it well suited to narrative shorts, explainers, music-driven scenes, and storyboard-to-video workflows.

## Prompt Tips and Output Quality

Write cinematic prompts: name the subject, the action, the camera move, the lighting, and any audio or dialogue cues. Keep `prompt_extend` on for short prompts to let the model add filmic detail, and turn it off when you need precise control. Use `negative_prompt` to suppress blur, artifacts, and text. For image-to-video, supply a clean first frame; for consistent characters across shots, pass reference images. Fix a `seed` to reproduce a result, and prefer 1080P for final delivery.

## FAQs

**Can I upload my own audio for lip-sync?** No. HappyHorse 1.1 generates its own native audio; it does not accept an external MP3 or WAV to drive lip-sync.

**How does it pick text-, image-, or reference-to-video?** The mode is auto-detected: prompt only is text-to-video, an `image` makes it image-to-video, and `reference_images` makes it reference-to-video.

**How many reference images can I use?** Up to nine, to anchor characters, environments, style, and products across scenes.

**What resolutions and durations are supported?** 720P or 1080P output, with durations from 3 to 15 seconds.

**Which aspect ratios are available?** 16:9, 9:16, 1:1, 4:3, and 3:4 (aspect ratio applies to text-to-video; it is ignored when an image is supplied).

**How is HappyHorse 1.1 different from 1.0?** It adds production native audio, multilingual lip-sync, up to nine reference images, 1080P, and improved motion, consistency, and detail.
31:T786,# How to Use HappyHorse 1.1

HappyHorse 1.1 turns text, a first frame, or reference images into cinematic video with synchronized native audio and multilingual lip-sync. The endpoint auto-detects its mode from the payload, so you control the output entirely through which fields you send.

## Choose your mode

- **Text-to-video:** send `prompt` only. Best for original scenes and concepts. Set `aspect_ratio` (16:9 landscape, 9:16 vertical, 1:1 social) to frame the shot.
- **Image-to-video:** add an `image` first frame to animate an existing still. `aspect_ratio` is ignored here â€” the frame defines the shape.
- **Reference-to-video:** pass `reference_images` (up to nine) to lock characters, environments, style, or products across a multi-scene project.

## Tune the output

- **resolution:** use `720P` for fast drafts and iteration; switch to `1080P` for final, delivery-ready video.
- **duration:** 3â€“15 seconds. Use 3â€“5s for punchy social clips and 8â€“15s for fuller narrative beats.
- **prompt_extend:** keep `true` for short prompts so the model adds cinematic detail; set `false` when you want exact control over the wording.
- **negative_prompt:** suppress blur, artifacts, watermarks, or unwanted text.
- **seed:** fix a value to reproduce the same result; leave empty for fresh variations.
- **watermark:** keep `false` for clean production output.

## Prompting tips

Write like a director: name the subject, the motion, the camera move, the lighting, and any dialogue or ambient audio. Because audio is generated jointly with the video, spelling out speech and sound cues yields better lip-sync and atmosphere. For consistent characters across shots, reuse the same reference images and a fixed seed.

Pricing is per second and scales with resolution, so prototype at 720P with short durations, then render your final cut at 1080P once the prompt and references are dialed in.
32:T536,## How Pricing Works

HappyHorse 1.1 uses per-second, resolution-based pricing. You pay based on the duration and resolution of the generated video. Shorter clips cost less, so you only pay for the output you need.

### Pricing Table

| Resolution | Rate | 3s Video | 5s Video | 10s Video | 15s Video |
|---|---|---|---|---|---|
| 720P | $0.2002/s | $0.60 | $1.00 | $2.00 | $3.00 |
| 1080P | $0.2574/s | $0.77 | $1.29 | $2.57 | $3.86 |

### Cost Optimization Tips

- Use 720P for iteration and prompt testing, then switch to 1080P only for final renders. 720P costs 22% less per second.
- Keep preview clips short (3-5 seconds) during prompt iteration. A 3-second 720P preview costs just $0.60.
- Prompt extension is free and significantly improves output quality on short prompts. Always enable it unless you need precise control.
- Audio-driven lip-sync and image-to-video modes cost the same as text-to-video at the same resolution and duration. No surcharge for advanced input types.

### Example Scenario

A marketing agency producing 20 social video ads per week: 15 preview renders at 720P, 5 seconds each ($1.00 x 15 = $15.00) plus 5 final 1080P renders at 5 seconds ($1.29 x 5 = $6.45). Weekly total: $21.45. Monthly: approximately $85.80 for 80 production-ready videos. 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