🤖 AI Summary
This piece is a practical how‑to for using image-to-image AI generators: tools that take a source image plus a text prompt and redraw the image while preserving composition, pose and framing. The guide distills workflow best practices—pick one model, save prompt templates, fix baseline settings, and change one control at a time—so teams can produce consistent assets for ads, thumbnails and product shots. It also stresses reproducibility (save seeds, prompts, and exports), licensing/consent checks, and simple audit trails to defend commercial use.
Technically, the guide highlights three core knobs: Strength (denoise) controls how far outputs deviate from the source (recommended baseline 0.55; try ~0.35 for subtle edits or ~0.75 for big restyles), CFG (prompt guidance) controls adherence to text (recommended 9–11; keep under ~12 to avoid artifacts), and Steps tunes refinement (baseline ~20). For layout lock and tighter control, use ControlNet or reference images (pose, edges, depth) and reuse seeds for consistent characters. For authenticity, combine visual checks (faces, hands, reflections), metadata/EXIF inspection, and reverse search—detectors are hints, not proofs. Overall, the guide is valuable for practitioners who need fast, repeatable image editing with predictable technical levers and defensible provenance.
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