@prsh162

Imagr is a prompt intelligence layer for AI image generation. Most users write short, vague prompts and hope for the best. Imagr fixes that by acting as a creative compiler between the user and the model. It breaks a rough idea into a structured Blueprint covering subject, scene, mood, lighting, composition, and style. It then assigns emphasis weights to each token based on visual importance, ensuring the diffusion model knows what matters most. The system generates reactive negative prompts, scores prompt quality, and detects contradictions or vague language through a built-in linter. What makes Imagr unique is the Model Router. The same creative intent gets adapted into different prompt dialects — parenthetical weights for Stable Diffusion, natural language emphasis for Flux, and descriptive prose for GPT Image. Users can apply style presets like Aggressive or Conservative to control the weighting strategy, lock specific tokens at fixed weights, and compare multiple prompt variants in the Prompt Arena. No open-source tool currently handles automated weight assignment for image prompts. Imagr fills that gap, making image generation faster, clearer, and more predictable for beginners and professionals alike.

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