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Cipher — SD Prompt Extractor

Upload a Stable Diffusion PNG to extract its prompt

\n \n
\n \n

output will appear here...

\n\n \n\n`;\n return new Response(html, { headers: { \"Content-Type\": \"text/html\" } });\n }\n\n // handle POST with PNG bytes\n if (req.method !== \"POST\") {\n return new Response(JSON.stringify({ error: \"GET or POST only\" }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n const arrayBuffer = await req.arrayBuffer();\n const bytes = new Uint8Array(arrayBuffer);\n\n // validate PNG signature\n if (\n bytes[0] !== 137 || bytes[1] !== 80 || bytes[2] !== 78 || bytes[3] !== 71\n ) {\n return new Response(JSON.stringify({ error: \"Not a PNG file\" }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n let offset = 8;\n while (offset < bytes.length) {\n const length = (bytes[offset] << 24) | (bytes[offset + 1] << 16) |\n (bytes[offset + 2] << 8) | bytes[offset + 3];\n const type = String.fromCharCode(\n bytes[offset + 4],\n bytes[offset + 5],\n bytes[offset + 6],\n bytes[offset + 7],\n );\n\n if (type === \"tEXt\") {\n const data = bytes.slice(offset + 8, offset + 8 + length);\n const text = new TextDecoder().decode(data);\n const nullIdx = text.indexOf(\"\\0\");\n const key = text.slice(0, nullIdx);\n const value = text.slice(nullIdx + 1);\n\n if (key === \"parameters\") {\n const parsed = parseSDParameters(value);\n return new Response(\n JSON.stringify(\n {\n found: true,\n raw: value,\n parsed,\n },\n null,\n 2,\n ),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n offset += 12 + length;\n }\n\n return new Response(\n JSON.stringify(\n {\n found: false,\n message:\n \"No SD prompt found — image may not be from Stable Diffusion, or metadata was stripped\",\n },\n null,\n 2,\n ),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n}\n\nfunction parseSDParameters(raw: string) {\n const lines = raw.split(\"\\n\");\n const prompt = [];\n const negative = [];\n const settings: Record = {};\n\n let inNegative = false;\n\n for (const line of lines) {\n if (line.startsWith(\"Negative prompt:\")) {\n inNegative = true;\n negative.push(line.replace(\"Negative prompt:\", \"\").trim());\n } else if (line.match(/^Steps:|^CFG|^Sampler|^Model|^Size|^Seed/)) {\n inNegative = false;\n line.split(\",\").forEach((pair) => {\n const [k, ...rest] = pair.split(\":\");\n if (k && rest.length) settings[k.trim()] = rest.join(\":\").trim();\n });\n } else if (inNegative) {\n negative.push(line.trim());\n } else {\n prompt.push(line.trim());\n }\n }\n\n return {\n prompt: prompt.filter(Boolean).join(\" \"),\n negative_prompt: negative.filter(Boolean).join(\" \"),\n settings,\n 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