HappyHorse Image to Video
HappyHorse 1.0 image to video is the original generation of the value animation line, available in FluxoKit's browser studio without a provider account. It animates a still at 1080p and costs 142 credits for the default 5 second 1080p clip on plans starting at $14 per month, with the cheaper 1.1 tier one page over.
Examples
1 generationReal generations with HappyHorse Image to Video
Overview
HappyHorse 1.0 image to video is the first generation of the HappyHorse line: a straightforward 1080p animator that turns a still into motion. FluxoKit runs it in the browser with credit pricing and no provider account, and the honest note is that its own successor, HappyHorse 1.1, is both newer and cheaper, so this page is mostly the comparison baseline.
The canvas chain feeds it. Generate the still with GPT Image 2 or Seedream 5, then animate it here. The showcase clips on this page are being produced in the video wave and will animate those locked persona stills; documented and live today are the single-frame contract, the 720p and 1080p tiers, and the 142-credit default clip.
HappyHorse image to video as the baseline panel
HappyHorse 1.0 produces solid 1080p animation from a single still: products, portraits, and scenes with dependable motion. Where it shows its age is price, at 142 credits it costs more than the 1.1 tier's 106 for a comparable job, which is why 1.1 is the default for new work and this page reads as the baseline panel.
It keeps a place for workflows tuned to its specific rendering character; give it a canvas still and it returns 1080p motion, with the whole loop in one FluxoKit history and each step costed.
Where HappyHorse 1.0 image to video still earns its credits
Teams with animation settings tuned against HappyHorse 1.0 stay on it for consistency. Everyone else should read this page next to HappyHorse 1.1: at 142 credits it costs more than 1.1 at 106, so the successor is the default and this page is the receipts. Every generation shows its exact cost in your history.
HappyHorse 1.0 i2v vs HappyHorse 1.1, Wan 2.5, and Seedance 1.5 Pro
Version 1.1 costs 106 credits, less than 1.0 at 142, with cleaner 1080p. For new work 1.1 supersedes 1.0; this page exists for the comparison.
Wan 2.5 is the open-family baseline at 89 credits with subject preservation. It undercuts HappyHorse 1.0 with no provider account.
Seedance 1.5 Pro is the budget floor at 31 credits with audio. For low-cost animation it far undercuts HappyHorse 1.0.
Capabilities
Output type
Video
Image input
Yes
Audio support
Yes
Limits
Image input size
≥ 300×300 px
Image aspect ratio
0.4–2.5
Credits per generation
142
Parameters and inputs
Each field below shows what the model accepts and the limits to apply.
Parameters
Duration
duration
- Required
- No
- Default
- 5
Options
- 3 (3)
- 4 (4)
- 5 (5)
- 6 (6)
- 7 (7)
- 8 (8)
- 9 (9)
- 10 (10)
- 11 (11)
- 12
Frequently asked questions
›How much does HappyHorse 1.0 image to video cost per clip?
HappyHorse 1.0 costs 142 credits for the default 5 second 1080p clip on FluxoKit. Plans start at $14 per month and every generation shows its exact credit cost in your history.
›Should I use HappyHorse 1.0 or 1.1 for image to video?
For new work, 1.1: it costs 106 credits against 1.0's 142 and renders cleaner 1080p, so it is both cheaper and better. Stay on 1.0 only if your settings were tuned to its specific look. The two pages animate the same still for a direct comparison.
›What resolution does HappyHorse 1.0 image to video output?
HappyHorse 1.0 supports 720p and 1080p, with the default clip rendered at 1080p for 142 credits. Every generation shows its exact cost in your history.
›Do I need a provider account to use HappyHorse 1.0?
No. FluxoKit runs HappyHorse 1.0 and more than 100 other AI models under one subscription with credit based pricing and a 30-day money-back guarantee.
Start creating
Run HappyHorse Image to Video in your browser. No API key, no provider account.
The original HappyHorse value tier, with 1.1 one page over. One studio with more than 100 AI models in the same canvas.
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