What problem does it solve? Generating images with Flux 2 Klein requires knowing the right endpoint variant, step counts, resolution limits, and prompting grammar; this Skill packages that model-specific knowledge so prompts produce strong output on the first attempts instead of trial-and-error against the API. ## Core Features & Use Cases - Dual-variant routing: Choose between the 4B variant for sub-second live iteration and the 9B variant for polished final output, with step-count guidance per phase (4–8 for concepting, ~25 for polish). - Model-specific prompting patterns: Applies Flux 2 Klein's subject-first declarative grammar, multi-reference alignment rules, and conditional-edit phrasing documented for this model. - Routing decisions: Directs requests to Flux 2 Pro, Seedream 5, or GPT Image 2 when the task needs max resolution, prompt adherence, or embedded text instead of low latency. - Use Case: A designer runs a live art-direction session, iterating on product visuals in sub-second cycles with the 4B variant, then re-renders the winning concept at 25 steps on the 9B variant for the final asset. ## Quick Start Ask the agent to generate an image with Flux 2 Klein, for example: "Use Flux 2 Klein to generate a product photo of a matte ceramic mug on a wooden table with soft window light."