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1
Start with one adult-only fictional brief that defines subject type, setting, camera distance, wardrobe boundary, composition, style direction, aspect ratio, reuse context, and rejection conditions
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2
Treat Perchance AI NSFW as external search language, then rewrite any no-sign-up or free-generator expectations into a clean AIPinMaker prompt before choosing GPT Image 2, Seedream, Nano Banana Pro, wan2.7-image-pro, or another visible image route
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3
Keep a short policy-research note for the user question being answered: no-sign-up expectation, image style, fictional subject framing, model comparison, source-frame consistency, or image-to-video handoff
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4
Compare Perchance-style text-to-image expectations with AIPinMaker routes when the user needs stronger prompt adherence, repeatable variants, typography cleanup, source-image review, or a clearer review trail
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5
Review every generated image for adult-only clarity, age ambiguity, real-person likeness risk, protected-character similarity, copied prompt text, sensitive-media resemblance, unwanted brand marks, and unsafe context
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6
If motion is useful, send only a reviewed still image into Wan 2.6 I2V, Seedance 2.0, Kling AI, PixVerse, Sora AI Video Generator, or another image-to-video route after rights and safety checks are clear
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7
Reject bypass wording, no-filter promises, private-photo references, unknown-person likeness copying, sensitive X media reuse, protected-character examples, copied adult prompt packs, and claims about Perchance policy that are not checked with Perchance directly
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8
Save final prompts with model labels, source-frame notes, rejection reasons, and a user-facing caption so future edits can distinguish search language from product capability