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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

HappyHorse-1.1-T2V is a QwenCloud video generation model that creates videos from text descriptions. The model is designed to improve text-to-video quality through stronger semantic understanding, cinematic shot control, and dynamic motion rendering. HappyHorse-1.1-T2V helps users produce videos that better reflect the intent of a prompt, including scene atmosphere, character movement, physical dynamics, and visual consistency. It supports video generation at 480P, 720P, and 1080P, with pricing based on generated video seconds. Developers can call the model through the DashScope API and configure parameters such as resolution, ratio, and duration. The model is not open source and is offered as a hosted API through QwenCloud. Rate limits include 300 requests per minute, 5 concurrent requests, and an async queue limit of 500 tasks. QwenCloud also provides free quota for testing and API key access for production usage. By combining text-to-video generation, semantic prompt understanding, cinematic control, motion rendering, API access, and scalable rate limits, HappyHorse-1.1-T2V helps teams build AI video creation workflows.

Description

Strands Decider is a compact and swift decision-making model, known as a System One model, tailored for agentic AI applications. In contrast to a language model that produces random text, this model selects from a set of predefined options, responds to yes-or-no inquiries, or assesses inputs using an ordered scale. Each decision made by the Strands Decider is accompanied by a calibrated confidence score, enabling the efficient processing of routine decisions while allowing uncertain cases to be escalated to either a larger model or a human for further analysis. The initial iteration of this model, strands-decider-2B, comprises 1.9 billion parameters and is built upon the Qwen3.5-2B-Base architecture, featuring a streamlined pointer head in place of its language-modeling component. It performs evaluations in a single forward pass, eliminating the need for text generation or a decoding loop. Supported types of decisions encompass choice selections, noul for probability assessments, and score for evaluating ordered scales. This model is engineered for a variety of applications, including model routing, selecting tools, verifying tool arguments, triaging requests, establishing grounding and safety measures, classifying policies, and providing economical evaluations, thereby enhancing its utility in diverse AI workflows.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud Yes 
Alibaba Cloud Model Studio Yes 
ComfyUI Yes 
Happy Horse Yes 
Pixalice Yes 
QwenCloud Yes 
Strands Agents No 

Integrations

Alibaba Cloud No 
Alibaba Cloud Model Studio No 
ComfyUI No 
Happy Horse No 
Pixalice No 
QwenCloud No 
Strands Agents Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

happyhorse.com

Vendor Details

Company Name

Strands Labs

Country

United States

Website

github.com/strands-labs/strands-decider

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