infsh-ai-video-generation

Assemble AI video generation workflows with the inference.sh CLI across 40+ models.

4|1|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill infsh-ai-video-generation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: infsh-ai-video-generation
Source: https://github.com/Sheshiyer/brandmint-oracle-aleph/tree/main/skills/external/inference-sh/normalized/infsh-ai-video-generation
Command: npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill infsh-ai-video-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables rapid creation of AI-generated videos by providing a unified CLI workflow across 40+ models, reducing manual setup and integration for media teams.

Core Features & Use Cases

  • Multi-model support across Veo, Seedance, Wan, Grok, OmniHuman, Fabric, and HunyuanVideo via the inference.sh CLI
  • Text-to-video and image-to-video with lipsync and avatar animation
  • Video upscaling and Foley sound to produce polished deliverables
  • Use cases include social media videos, marketing explainers, product demos, and AI avatars

Quick Start

Install the inference.sh CLI and run a sample model with a ready-to-use prompt.

Frequently Asked Questions about infsh-ai-video-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate AI videos using a CLI workflow?

To generate AI videos via a CLI, you can use the inference.sh CLI to assemble text-to-video and image-to-video pipelines across 40+ models, specifying input prompts and outputs for reproducible results.

Can I create AI avatars with lipsync using inference.sh?

Yes, you can create AI avatars with lipsync using the inference.sh CLI, which supports avatar animation and lipsync features alongside text-to-video generation for polished social media content.

What's the best way to automate marketing video generation across multiple models?

Automating marketing video generation is best handled by a unified CLI workflow that identifies and assembles pipelines across 40+ models like Veo, Seedance, and Wan, ensuring reproducible video outputs.

Does this CLI workflow support video upscaling and Foley sound?

Yes, the CLI workflow supports video upscaling and Foley sound generation, allowing you to apply these features to produce polished deliverables for product demos and marketing explainers.

Do I need any specific dependencies to run the AI video generation pipeline?

You do not need specific dependencies to run the AI video generation pipeline; the Skill operates independently, requiring only the inference.sh CLI installation to specify models and handle errors.

Why does my reproducible AI video pipeline fail across different models?

Reproducible AI video pipelines may fail if error handling is not properly specified; the Skill ensures reproducibility by defining model lists, input prompts, and error handling within the inference.sh CLI workflow.