Can I add models that only enhance images without upscaling?

Yes, the skill includes specific instructions to set supportedScales to an empty array and remove the 'upscale' capability for enhancement-only models.

How does the skill handle credit economics?

It provides a mapping system that correlates USD API costs with credit multipliers, allowing you to set specific costs for free, hobby, pro, and business tiers.

Which AI providers are supported by this skill?

The skill is optimized for Replicate as the primary provider and Gemini as an alternative for image processing tasks.

What files are modified during the integration process?

The process involves updating model-costs.config, credits.config, model-registry types, coreflow types, validation schemas, and environment variables.

AI Model Integration Manager

Name: AI Model Integration Manager
Author: jonit-dev

byjonit-dev

Data Science & ML

Streamlines the integration of new AI models into the PixelPerfect image upscaler platform through a standardized multi-file configuration workflow.

About

The Add AI Model Skill provides a rigorous, step-by-step framework for developers to expand the PixelPerfect image upscaling engine. It automates the complex process of synchronizing Replicate or Gemini models across the entire stack, including credit economics, TypeScript type registries, Zod validation schemas, and environment-specific overrides. By enforcing strict adherence to native scale support (2x, 4x, 8x) and capability declarations, this skill ensures that new models are integrated without breaking existing workflows or misleading users about model performance.

Key Features

0 GitHub stars
Standardized environment variable and verification checklists
Comprehensive multi-file configuration for Replicate and Gemini providers
Strict validation for model-specific scale support and capabilities
Automated credit multiplier and USD pricing tier setup
Synchronized TypeScript type definition and model registry updates

Use Cases

Integrating a new high-performance upscaling model from the Replicate registry
Configuring a specialized image enhancement model for a specific subscription tier
Updating API costs and credit multipliers for existing AI model versions

About

Key Features

0 GitHub stars
Standardized environment variable and verification checklists
Comprehensive multi-file configuration for Replicate and Gemini providers
Strict validation for model-specific scale support and capabilities
Automated credit multiplier and USD pricing tier setup
Synchronized TypeScript type definition and model registry updates

Use Cases

Integrating a new high-performance upscaling model from the Replicate registry
Configuring a specialized image enhancement model for a specific subscription tier
Updating API costs and credit multipliers for existing AI model versions