What problem does it solve? Turning a short user request into a good image requires prompt engineering, model selection, and iteration — and local Stable Diffusion generation is slow, so wasted attempts are costly. This Skill guides the AI to expand vague prompts, pick the right model, and iterate on previous generations instead of starting over. ## Core Features & Use Cases - Prompt Expansion: Converts a terse request like "a cat" into a full prompt covering subject, setting, style, and lighting before generation. - Model-Aware Generation: Checks available Stable Diffusion models via list_sd_models() and respects per-model defaults for steps, CFG scale, and size (e.g., SDXL-Turbo vs SDXL-Base-1.0). - Seed-Based Iteration: Uses get_generation_history() to reuse prompts and seeds so requests like "same but at sunset" modify the existing image rather than producing an unrelated one. - Use Case: A user asks for a logo concept, then says "make it warmer" — the Skill retrieves the prior generation's parameters, adjusts only the lighting clause, and regenerates with the same seed. ## Quick Start Ask the assistant to draw a picture of your subject, for example: "Generate an image of a red bicycle leaning against a brick wall in morning sunlight."