What problem does it solve?
This Skill helps teams choose, operate, and validate Stability AI image generation services without confusing hosted APIs with open-weight models or risking schema errors, uncontrolled spend, rights violations, or unreliable production outputs.
Core Features & Use Cases
- Provider and Model Selection: Choose among Stable Image Core, Ultra, SD3.5, image editing, control, background, and upscaling operations based on intent, lifecycle, cost, and input requirements.
- Production API Operations: Construct multipart requests, handle synchronous and asynchronous responses, manage rate limits, preserve request and output metadata, and avoid unsafe retries of ambiguous paid requests.
- Quality, Safety, and Provenance: Validate masks, image fidelity, geometry, moderation outcomes, licensing, consent, privacy, provenance, and delivery readiness.
- Use Case: Generate a consistent product image batch, replace a localized object in a room photo, migrate legacy model integrations, or investigate rate-limit and duplicate-spend incidents.
Quick Start
Use the stability-ai-image skill to select the correct Stability AI operation, create a production-ready request, and define the required QA, rights, cost, and provenance checks for the attached media task.
