use sharp and improve prompting

smaller image, larger image would crash comfyui
make titles always uppercase. cleanup copy footer
2025-09-05 16:48:35 -04:00 · 2025-09-05 13:32:49 -04:00 · 2025-09-05 13:21:06 -04:00 · 2025-09-05 13:18:24 -04:00 · 2025-09-05 09:49:54 -04:00 · 2025-09-04 23:09:57 -04:00
9 changed files with 766 additions and 229 deletions
--- a/README.md
+++ b/README.md
@@ -22,12 +22,13 @@ Scrollsmith is a Node.js tool for generating Dungeons & Dragons one-page dungeon

 - Node.js 22+
 - Ollama server running and accessible
- Nextcloud (optional) for PDF uploads
+- Gitea Releases (optional) for PDF uploads
 - `.env` file with:

 ```env
 OLLAMA_API_URL=http://localhost:3000/api/chat/completions
 OLLAMA_API_KEY=your_api_key_here
+COMFYUI_URL=http://192.168.1.124:8188
 ````

 ---
--- a/compressPng.js
+++ b/compressPng.js
@@ -1,27 +0,0 @@
-import fs from 'fs/promises';
-import UPNG from 'upng-js';
-
-const countUniqueColors = (data) => {
-  const uniqueColors = new Set();
-  for (let i = 0; i < data.length; i += 4) {
-    uniqueColors.add(`${data[i]},${data[i + 1]},${data[i + 2]},${data[i + 3]}`);
-    if (uniqueColors.size > 256) {
-      return uniqueColors.size;
-    }
-  }
-  return uniqueColors.size;
-};
-
-export async function compressPng (filePath) {
-  const buffer = await fs.readFile(filePath);
-  const arrayBuffer = buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength);
-  const img = UPNG.decode(arrayBuffer);
-  const rgba = new Uint8Array(img.data);
-  const frameData = new Uint8Array(img.width * img.height * 4);
-  frameData.set(rgba.subarray(0, frameData.length));
-  const cnum = countUniqueColors(rgba) <= 256 ? 256 : 0;
-  const optimizedArrayBuffer = UPNG.encode([frameData.buffer], img.width, img.height, cnum, img.depth);
-  const optimizedBuffer = Buffer.from(optimizedArrayBuffer);
-  await fs.writeFile(filePath, optimizedBuffer);
-  return filePath;
-};
--- a/dungeonGenerator.js
+++ b/dungeonGenerator.js
@@ -33,11 +33,9 @@ function parseObjects(raw, type = "rooms") {
 }

 export async function generateDungeon() {
-  console.log("Starting compact dungeon generation with debug logs...\n");
-
  // Step 1: Titles
-  const titles10Raw = await callOllama(
-    `Generate 10 short, punchy dungeon titles (max 5 words each), numbered as a plain text list.
+  const generatedTitlesRaw = await callOllama(
+    `Generate 50 short, punchy dungeon titles (max 5 words each), numbered as a plain text list.
 Each title should come from a different style or theme. Make the set varied and evocative. For example:

 - OSR / classic tabletop: gritty, mysterious, old-school
@@ -47,45 +45,24 @@ Each title should come from a different style or theme. Make the set varied and
 - Weird fantasy: uncanny, surreal, unsettling
 - Whimsical: fun, quirky, playful

-Avoid repeating materials or adjectives. Do not include any titles with the words "Obsidian" or "Clockwork". Do not include explanations, markdown, or preambles. Do not include the style or theme in parenthesis. Only the 10 numbered titles.`,
+Avoid repeating materials or adjectives. Absolutely do not use the words "Obsidian" or "Clockwork" in any title. Do not include explanations, markdown, or preambles. Do not include the style or theme in parenthesis. Only the 50 numbered titles.`,
    undefined, 5, "Step 1: Titles"
  );
-  const titles10 = parseList(titles10Raw, 30);
-  console.log("Parsed titles10:", titles10);
-
-  // Step 2: Narrow to 5
-  const titles5Raw = await callOllama(
-    `Here are 10 dungeon titles:
-${titles10.join("\n")}
-
-Randomly select 3 of the titles from the above list and create 2 additional unique titles. Do not include any titles with the words "Obsidian" or "Clockwork".
-Output exactly 5 titles as a numbered list, plain text only. No explanations.`,
-    undefined, 5, "Step 2: Narrow Titles"
-  );
-  const titles5 = parseList(titles5Raw, 30);
-  console.log("Parsed titles5:", titles5);
-
-  // Step 3: Final title
-  const bestTitleRaw = await callOllama(
-    `From the following 5 dungeon titles, randomly select only one of them.
-Output only the title, no explanation, no numbering, no extra text:
-
-${titles5.join("\n")}`,
-    undefined, 5, "Step 3: Final Title"
-  );
-  const title = cleanText(bestTitleRaw.split("\n")[0]);
+  const generatedTitles = parseList(generatedTitlesRaw);
+  console.log("Generated Titles:", generatedTitles);
+  const title = generatedTitles[Math.floor(Math.random() * generatedTitles.length)];
  console.log("Selected title:", title);

-  // Step 4: Flavor text
+  // Step 2: Flavor text
  const flavorRaw = await callOllama(
-    `Write a single evocative paragraph describing the location titled "${title}".
+    `Write a single evocative paragraph describing the location titled "${title}". Absolutely do not use the words "Obsidian" or "Clockwork" anywhere in the paragraph.
 Do not include hooks, NPCs, treasure, or instructions. Do not use bullet points or em-dashes. Output plain text only, one paragraph. Maximum 4 sentences.`,
-    undefined, 5, "Step 4: Flavor"
+    undefined, 5, "Step 2: Flavor"
  );
  const flavor = flavorRaw;
  console.log("Flavor text:", flavor);

-  // Step 5: Hooks & Rumors
+  // Step 3: Hooks & Rumors
  const hooksRumorsRaw = await callOllama(
    `Based only on this location's flavor:

@@ -94,12 +71,12 @@ ${flavor}
 Generate 3 short adventure hooks or rumors (mix them naturally).
 Output as a single numbered list, plain text only. Do not use em-dashes.
 Maximum 2 sentences per item. No explanations or extra text.`,
-    undefined, 5, "Step 5: Hooks & Rumors"
+    undefined, 5, "Step 3: Hooks & Rumors"
  );
-  const hooksRumors = parseList(hooksRumorsRaw, 120);
+  const hooksRumors = parseList(hooksRumorsRaw);
  console.log("Hooks & Rumors:", hooksRumors);

-  // Step 6: Rooms & Encounters
+  // Step 4: Rooms & Encounters
  const roomsEncountersRaw = await callOllama(
    `Using the flavor and these hooks/rumors:

@@ -111,7 +88,7 @@ ${hooksRumors.join("\n")}

 Generate 5 rooms (name + short description) and 6 encounters (name + details).
 Output two numbered lists, labeled "Rooms:" and "Encounters:". Plain text only. No extra explanation.`,
-    undefined, 5, "Step 6: Rooms & Encounters"
+    undefined, 5, "Step 4: Rooms & Encounters"
  );
  const [roomsSection, encountersSection] = roomsEncountersRaw.split(/Encounters[:\n]/i);
  const rooms = parseObjects(roomsSection.replace(/Rooms[:\n]*/i, ""), "rooms", 120);
@@ -119,7 +96,7 @@ Output two numbered lists, labeled "Rooms:" and "Encounters:". Plain text only.
  console.log("Rooms:", rooms);
  console.log("Encounters:", encounters);

-  // Step 7: Treasure & NPCs
+  // Step 5: Treasure & NPCs
  const treasureNpcsRaw = await callOllama(
    `Based only on these rooms and encounters:

@@ -129,15 +106,15 @@ Generate 3 treasures and 3 NPCs (name + trait, max 2 sentences each).
 Each NPC has a proper name, not just a title.
 Treasure should sometimes include a danger or side-effect.
 Output numbered lists labeled "Treasure:" and "NPCs:". Plain text only, no extra text.`,
-    undefined, 5, "Step 7: Treasure & NPCs"
+    undefined, 5, "Step 5: Treasure & NPCs"
  );
  const [treasureSection, npcsSection] = treasureNpcsRaw.split(/NPCs[:\n]/i);
-  const treasure = parseList(treasureSection.replace(/Treasures?[:\n]*/i, ""), 120);
+  const treasure = parseList(treasureSection.replace(/Treasures?[:\n]*/i, ""));
  const npcs = parseObjects(npcsSection || "", "npcs", 120);
  console.log("Treasure:", treasure);
  console.log("NPCs:", npcs);

-  // Step 8: Plot Resolutions
+  // Step 6: Plot Resolutions
  const plotResolutionsRaw = await callOllama(
    `Based on the following location's flavor and story hooks:

@@ -155,9 +132,9 @@ These are prompts and ideas for brainstorming the story's ending, not fixed outc
 Start each item with phrases like "The adventurers could" or "The PCs might" to emphasize their hypothetical nature.
 Deepen the narrative texture and allow roleplay and tactical creativity.
 Keep each item short (max 2 sentences). Output as a numbered list, plain text only.`,
-    undefined, 5, "Step 8: Plot Resolutions"
+    undefined, 5, "Step 6: Plot Resolutions"
  );
-  const plotResolutions = parseList(plotResolutionsRaw, 180);
+  const plotResolutions = parseList(plotResolutionsRaw);
  console.log("Plot Resolutions:", plotResolutions);

  console.log("\nDungeon generation complete!");
--- a/dungeonTemplate.js
+++ b/dungeonTemplate.js
@@ -11,8 +11,10 @@ export function dungeonTemplate(data) {
  ];

  const headingFonts = [
+    "'New Rocker', system-ui",
+    "'UnifrakturCook', cursive",
+    "'IM Fell DW Pica', serif",
    "'Cinzel', serif",
-    "'MedievalSharp', serif",
    "'Cormorant Garamond', serif",
    "'Playfair Display', serif"
  ];
@@ -26,7 +28,6 @@ export function dungeonTemplate(data) {

  const quoteFonts = [
    "'Playfair Display', serif",
-    "'Uncial Antiqua', serif",
    "'Libre Baskerville', serif",
    "'Merriweather', serif"
  ];
@@ -42,20 +43,34 @@ export function dungeonTemplate(data) {
 <head>
  <meta charset="UTF-8">
  <title>${data.title}</title>
-<link href="https://fonts.googleapis.com/css2?family=Cinzel+Decorative&family=MedievalSharp&family=Metamorphous&family=Playfair+Display&family=Alegreya+Sans&family=Cabin&family=IBM+Plex+Sans&family=Cormorant+Garamond&family=Lora&family=Merriweather&family=Libre+Baskerville&family=Source+Serif+4&family=Walter+Turncoat&family=Uncial+Antiqua&family=Beth+Ellen&family=Pinyon+Script&display=swap" rel="stylesheet">
+  <link
+    href="https://fonts.googleapis.com/css2?family=Cinzel+Decorative&family=UnifrakturCook&family=New+Rocker&family=Metamorphous&family=Playfair+Display&family=Alegreya+Sans&family=Cabin&family=IBM+Plex+Sans&family=Cormorant+Garamond&family=Lora&family=Merriweather&family=Libre+Baskerville&family=Source+Serif+4&family=Walter+Turncoat&family=Uncial+Antiqua&family=Beth+Ellen&family=Pinyon+Script&display=swap"
+    rel="stylesheet">
  <style>
-  @page { size: A4 landscape; margin: 0; }
+    @page {
+      size: A4 landscape;
+      margin: 0;
+    }
    body {
-    margin: 0; padding: 1.5cm;
-    background: #f5f5f5;
+      margin: 0;
+      padding: 0;
      font-family: ${bodyFont};
      color: #1a1a1a;
      font-size: 0.7em;
      line-height: 1.25em;
    }
+    .content-page {
+      height: 100vh;
+      box-sizing: border-box;
+      padding: 1.5cm;
+      page-break-after: always;
+      overflow: hidden;
+      break-inside: avoid;
+    }
    h1 {
      font-family: ${headingFont};
      text-align: center;
+      text-transform: uppercase;
      font-size: 2em;
      margin: 0.2em 0 0.3em;
      color: #1a1a1a;
@@ -77,7 +92,8 @@ export function dungeonTemplate(data) {
      align-items: start;
    }
    .col {
-    display: flex; flex-direction: column;
+      display: flex;
+      flex-direction: column;
      gap: 0.15em;
    }
    h2 {
@@ -90,77 +106,120 @@ export function dungeonTemplate(data) {
      text-transform: uppercase;
      letter-spacing: 0.05em;
    }
-  .room h3 { margin: 0.2em 0 0.05em; font-size: 0.95em; font-weight: bold; }
-  .room p { text-align: justify; word-wrap: break-word; margin: 0.1em 0 0.3em; }
-  ul { padding-left: 1em; margin: 0.1em 0 0.3em; }
-  li { margin-bottom: 0.2em; }
-  table { width: 100%; border-collapse: collapse; font-family: ${tableFont}; font-size: 0.8em; }
-  th, td { border: 1px solid #1a1a1a; padding: 0.2em; text-align: left; vertical-align: top; }
-  th { background: #e0e0e0; }
-  table tr:hover { background: rgba(0, 0, 0, 0.05); }
+    .room h3 {
+      margin: 0.2em 0 0.05em;
+      font-size: 0.95em;
+      font-weight: bold;
+    }
+    .room p {
+      text-align: justify;
+      word-wrap: break-word;
+      margin: 0.1em 0 0.3em;
+    }
+    ul {
+      padding-left: 1em;
+      margin: 0.1em 0 0.3em;
+    }
+    li {
+      margin-bottom: 0.2em;
+    }
+    table {
+      width: 100%;
+      border-collapse: collapse;
+      font-family: ${tableFont};
+      font-size: 0.8em;
+    }
+    th,
+    td {
+      border: 1px solid #1a1a1a;
+      padding: 0.2em;
+      text-align: left;
+      vertical-align: top;
+    }
+    th {
+      background: #e0e0e0;
+    }
+    table tr:hover {
+      background: rgba(0, 0, 0, 0.05);
+    }
    .map-page {
-    page-break-before: always;
+      height: 210mm;
+      width: 297mm;
+      box-sizing: border-box;
+      padding: 1.5cm;
+      position: relative;
+      display: block;
+    }
+    .map-image-container {
+      position: absolute;
+      top: 1.5cm;
+      left: 1.5cm;
+      right: 1.5cm;
+      bottom: 3cm;
      display: flex;
      align-items: center;
      justify-content: center;
-    padding: 1.5cm;
-    height: calc(100vh - 3cm);
-    box-sizing: border-box;
-    background: #f5f5f5;
    }
    .map-page img {
      max-width: 100%;
      max-height: 100%;
-    height: auto;
-    width: auto;
-    border-radius: 0.2cm;
      object-fit: contain;
-    box-shadow:
-      0 0 20px 15px #f5f5f5 inset,
-      0 0 5px 2px rgba(0, 0, 0, 0.05);
    }
-  footer {
-    text-align: center; font-size: 0.65em; color: #555; margin-top: 0.5em; font-style: italic;
+    .map-page footer {
+      position: absolute;
+      bottom: 1.5cm;
+      left: 1.5cm;
+      right: 1.5cm;
+      text-align: center;
+      font-size: 0.65em;
+      color: #555;
+      font-style: italic;
    }
  </style>
 </head>
 <body>
+  <div class="content-page">
    <h1>${data.title}</h1>
    <p class="flavor">${data.flavor}</p>
-
    <div class="columns">
      <div class="col">
        <h2>Adventure Hooks & Rumors</h2>
        <ul>${data.hooksRumors.map(item => `<li>${item}</li>`).join("")}</ul>
-
        <h2>Locations</h2>
-    ${data.rooms.map((room, i) => `<div class="room"><h3>${i + 1}. ${room.name}</h3><p>${room.description}</p></div>`).join("")}
+        ${data.rooms.map((room, i) => `<div class="room">
+          <h3>${i + 1}. ${room.name}</h3>
+          <p>${room.description}</p>
+        </div>`).join("")}
      </div>
-
      <div class="col">
        <h2>Encounters</h2>
-    <table><tr><th>Name</th><th>Details</th></tr>
-      ${data.encounters.map(e => `<tr><td>${e.name}</td><td>${e.details}</td></tr>`).join("")}
+        <table>
+          <tr>
+            <th>Name</th>
+            <th>Details</th>
+          </tr>
+          ${data.encounters.map(e => `<tr>
+            <td>${e.name}</td>
+            <td>${e.details}</td>
+          </tr>`).join("")}
        </table>
-
        <h2>Treasure</h2>
        <ul>${data.treasure.map(t => `<li>${t}</li>`).join("")}</ul>
      </div>
-
      <div class="col">
        <h2>NPCs</h2>
        <ul>${data.npcs.map(n => `<li><b>${n.name}</b>: ${n.trait}</li>`).join("")}</ul>
-
        <h2>Plot Resolutions</h2>
        <ul>${data.plotResolutions.map(p => `<li>${p}</li>`).join("")}</ul>
      </div>
    </div>
-
+  </div>
  <div class="map-page">
+    <div class="map-image-container">
      <img src="${data.map}" alt="Dungeon Map">
    </div>
-
-<footer>Generated with Scrollsmith • © ${new Date().getFullYear()}</footer>
+    <footer>Scrollsmith • © ${new Date().getFullYear()}</footer>
+  </div>
 </body>
 </html>
  `;
--- a/generatePDF.js
+++ b/generatePDF.js
@@ -23,6 +23,7 @@ export async function generatePDF(data, outputPath = "dungeon.pdf") {
    format: "A4",
    landscape: true,
    printBackground: true,
+    preferCSSPageSize: true
  });

  await browser.close();
--- a/imageGenerator.js
+++ b/imageGenerator.js
@@ -1,30 +1,49 @@
+import sharp from 'sharp';
 import path from "path";
 import { mkdir, writeFile } from "fs/promises";
 import { fileURLToPath } from "url";
 import { callOllama } from "./ollamaClient.js";
-import { compressPng } from "./compressPng.js";

 const __dirname = path.dirname(fileURLToPath(import.meta.url));
 const COMFYUI_URL = process.env.COMFYUI_URL || "http://localhost:8188";

 // Drawing style prefix
-const STYLE_PREFIX = `a high-contrast, black and white pen and ink drawing, hand-drawn sketch aesthetic, very low detail, extremely minimal, visible loose linework, expressive simple hatching for shadows, quick conceptual sketch, subtle color accent`;
+const STYLE_PREFIX = `clean line art, minimalist sketch, concept art sketch, black and white line drawing, lots of white space, sparse shading, very minimal shading, simple black hatching, very low detail, single accent color`;
+
+async function upscaleImage(inputPath, outputPath, width, height) {
+  try {
+    await sharp(inputPath)
+      .resize(width, height, { kernel: 'lanczos3' })
+      .blur(0.3)
+      .sharpen()
+      .png({
+        compressionLevel: 9,
+        adaptiveFiltering: true,
+        palette: true
+      })
+      .toFile(outputPath);
+    console.log(`Upscaled + compressed PNG saved: ${outputPath}`);
+    return outputPath;
+  } catch (err) {
+    console.error("Error during upscaling:", err.message);
+    return null;
+  }
+}

 // 1. Generate engineered visual prompt
 async function generateVisualPrompt(flavor) {
  const rawPrompt = await callOllama(
-    `You are a prompt engineer specializing in visual prompts for AI image generation (e.g., Stable Diffusion, ComfyUI). Given a piece of fantasy flavor text, your job is to extract and translate the visual elements into a highly descriptive image prompt.
+    `You are a prompt engineer specializing in visual prompts for AI image generation. Your goal is to translate fantasy flavor text into a sparse, minimalist scene description.

-Your output should be structured like a list of visual tags, not a story or paragraph. Focus on describing the environment, mood, architecture, lighting, materials, and color. Avoid abstract, emotional, and visual language. Be literal, specific, and visual only.
+Your output must be a simple list of visual tags describing only the most essential elements of the scene. Focus on the core subject and mood.

 Rules:
- Do NOT repeat phrases or wording from the input.
- Only include things that could be seen in a single, still image.
- Use visual keywords, rich adjectives, and clear scene descriptors.
- Keep the prompt concise, 40-80 words.
- Maintain simplicity in descriptions. The image must be a minimal, hand drawn sketch aesthetic with low detail.
- Avoid characters or creatures unless clearly described.
- Avoid referencing rendering style, color technique, camera effects, or drawing medium — focus only on the visual content of the scene.
+- Describe a sparse scene with a single focal point or area.
+- Use only 3-5 key descriptive phrases or tags.
+- The entire output should be very short, 20-50 words maximum.
+- Do NOT repeat wording from the input.
+- Focus only on visual content, not style, medium, or camera effects.
+- Avoid describing fine details; focus on large forms and the overall impression.
 - Do NOT include phrases like “an image of” or “a scene showing”.

 Input:
@@ -73,8 +92,8 @@ function buildComfyWorkflow(promptText, negativeText = "") {
    },
    "5": {
      "inputs": {
-        "width": 640,
-        "height": 448,
+        "width": 728,
+        "height": 512,
        "batch_size": 1
      },
      "class_type": "EmptyLatentImage"
@@ -158,7 +177,8 @@ async function downloadImage(filename, localFilename) {

 // 4c. Submit prompt and handle full image pipeline
 async function generateImageViaComfyUI(prompt, filename) {
-  const workflow = buildComfyWorkflow(prompt, "photorealism, hyper-realistic, high detail, 3D render, CGI, ray tracing, glossy, polished, smooth shading, realistic lighting, digital painting, anime, cartoon, pixelated, noisy, cluttered, blurry, sharp focus, symmetrical, perfect perspective, detailed textures, high-resolution textures, high contrast lighting, lens flare, bokeh, camera artifacts, text, logo, signature, watermark, overexposed, underexposed, glowing edges");
+  const negativePrompt = `heavy shading, deep blacks, cross-hatching, dark, gritty, shadow-filled, chiaroscuro, scratchy lines, photorealism, hyper-realistic, high detail, 3D render, CGI, polished, smooth shading, detailed textures, noisy, cluttered, blurry, text, logo, signature, watermark, artist name, branding, ugly, deformed, unnatural patterns, perfect curves, repetitive textures`;
+  const workflow = buildComfyWorkflow(prompt, negativePrompt);

  try {
    console.log("Submitting prompt to ComfyUI...");
@@ -182,9 +202,6 @@ async function generateImageViaComfyUI(prompt, filename) {

    console.log("Downloading image...");
    const filepath = await downloadImage(comfyFilename, filename);
-
-    console.log("Compressing PNG...");
-    await compressPng(filepath);
    return filepath;

  } catch (err) {
@@ -200,12 +217,19 @@ export async function generateDungeonImages({ flavor }) {
  const finalPrompt = await generateVisualPrompt(flavor);
  console.log("Engineered visual prompt:\n", finalPrompt);

-  const filename = `dungeon.png`;
-  const filepath = await generateImageViaComfyUI(finalPrompt, filename);
+  const baseFilename = `dungeon.png`;
+  const upscaledFilename = `dungeon_upscaled.png`;

+  const filepath = await generateImageViaComfyUI(finalPrompt, baseFilename);
  if (!filepath) {
    throw new Error("Failed to generate dungeon image.");
  }

-  return filepath;
+  // Upscale 2x (half of A4 at 300dpi)
+  const upscaledPath = await upscaleImage(filepath, upscaledFilename, 1456, 1024);
+  if (!upscaledPath) {
+    throw new Error("Failed to upscale dungeon image.");
+  }
+
+  return upscaledPath;
 }
--- a/ollamaClient.js
+++ b/ollamaClient.js
@@ -62,8 +62,8 @@ export async function callOllama(prompt, model = "gemma3n:e4b", retries = 5, ste
      const cleaned = cleanText(rawText);

      console.log(`[${stepName}] Received: ${rawText.length} chars, ~${rawText.split(/\s+/).length} words`);
-      console.log(`Raw output:\n${rawText}\n`);
-      console.log(`Cleaned output:\n${cleaned}\n`);
+      // console.log(`Raw output:\n${rawText}\n`);
+      // console.log(`Cleaned output:\n${cleaned}\n`);

      return cleaned;

--- a/package-lock.json
+++ b/package-lock.json
@@ -11,7 +11,7 @@
      "dependencies": {
        "dotenv": "^17.2.1",
        "puppeteer": "^24.17.1",
-        "upng-js": "^2.1.0"
+        "sharp": "^0.34.3"
      },
      "devDependencies": {
        "@eslint/js": "^9.34.0",
@@ -42,6 +42,16 @@
        "node": ">=6.9.0"
      }
    },
+    "node_modules/@emnapi/runtime": {
+      "version": "1.5.0",
+      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.5.0.tgz",
+      "integrity": "sha512-97/BJ3iXHww3djw6hYIfErCZFee7qCtrneuLa20UXFCOTCfBM2cvQHjWJ2EG0s0MtdNwInarqCTz35i4wWXHsQ==",
+      "license": "MIT",
+      "optional": true,
+      "dependencies": {
+        "tslib": "^2.4.0"
+      }
+    },
    "node_modules/@eslint-community/eslint-utils": {
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@@ -1676,6 +2130,48 @@
        "node": ">=10"
      }
    },
+    "node_modules/sharp": {
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.34.3.tgz",
+      "integrity": "sha512-eX2IQ6nFohW4DbvHIOLRB3MHFpYqaqvXd3Tp5e/T/dSH83fxaNJQRvDMhASmkNTsNTVF2/OOopzRCt7xokgPfg==",
+      "hasInstallScript": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "color": "^4.2.3",
+        "detect-libc": "^2.0.4",
+        "semver": "^7.7.2"
+      },
+      "engines": {
+        "node": "^18.17.0 || ^20.3.0 || >=21.0.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      },
+      "optionalDependencies": {
+        "@img/sharp-darwin-arm64": "0.34.3",
+        "@img/sharp-darwin-x64": "0.34.3",
+        "@img/sharp-libvips-darwin-arm64": "1.2.0",
+        "@img/sharp-libvips-darwin-x64": "1.2.0",
+        "@img/sharp-libvips-linux-arm": "1.2.0",
+        "@img/sharp-libvips-linux-arm64": "1.2.0",
+        "@img/sharp-libvips-linux-ppc64": "1.2.0",
+        "@img/sharp-libvips-linux-s390x": "1.2.0",
+        "@img/sharp-libvips-linux-x64": "1.2.0",
+        "@img/sharp-libvips-linuxmusl-arm64": "1.2.0",
+        "@img/sharp-libvips-linuxmusl-x64": "1.2.0",
+        "@img/sharp-linux-arm": "0.34.3",
+        "@img/sharp-linux-arm64": "0.34.3",
+        "@img/sharp-linux-ppc64": "0.34.3",
+        "@img/sharp-linux-s390x": "0.34.3",
+        "@img/sharp-linux-x64": "0.34.3",
+        "@img/sharp-linuxmusl-arm64": "0.34.3",
+        "@img/sharp-linuxmusl-x64": "0.34.3",
+        "@img/sharp-wasm32": "0.34.3",
+        "@img/sharp-win32-arm64": "0.34.3",
+        "@img/sharp-win32-ia32": "0.34.3",
+        "@img/sharp-win32-x64": "0.34.3"
+      }
+    },
    "node_modules/shebang-command": {
      "version": "2.0.0",
      "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
@@ -1699,6 +2195,21 @@
        "node": ">=8"
      }
    },
+    "node_modules/simple-swizzle": {
+      "version": "0.2.2",
+      "resolved": "https://registry.npmjs.org/simple-swizzle/-/simple-swizzle-0.2.2.tgz",
+      "integrity": "sha512-JA//kQgZtbuY83m+xT+tXJkmJncGMTFT+C+g2h2R9uxkYIrE2yy9sgmcLhCnw57/WSD+Eh3J97FPEDFnbXnDUg==",
+      "license": "MIT",
+      "dependencies": {
+        "is-arrayish": "^0.3.1"
+      }
+    },
+    "node_modules/simple-swizzle/node_modules/is-arrayish": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/is-arrayish/-/is-arrayish-0.3.2.tgz",
+      "integrity": "sha512-eVRqCvVlZbuw3GrM63ovNSNAeA1K16kaR/LRY/92w0zxQ5/1YzwblUX652i4Xs9RwAGjW9d9y6X88t8OaAJfWQ==",
+      "license": "MIT"
+    },
    "node_modules/smart-buffer": {
      "version": "4.2.0",
      "resolved": "https://registry.npmjs.org/smart-buffer/-/smart-buffer-4.2.0.tgz",
@@ -1878,15 +2389,6 @@
      "license": "MIT",
      "optional": true
    },
-    "node_modules/upng-js": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/upng-js/-/upng-js-2.1.0.tgz",
-      "integrity": "sha512-d3xzZzpMP64YkjP5pr8gNyvBt7dLk/uGI67EctzDuVp4lCZyVMo0aJO6l/VDlgbInJYDY6cnClLoBp29eKWI6g==",
-      "license": "MIT",
-      "dependencies": {
-        "pako": "^1.0.5"
-      }
-    },
    "node_modules/uri-js": {
      "version": "4.4.1",
      "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
--- a/package.json
+++ b/package.json
@@ -14,7 +14,7 @@
  "dependencies": {
    "dotenv": "^17.2.1",
    "puppeteer": "^24.17.1",
-    "upng-js": "^2.1.0"
+    "sharp": "^0.34.3"
  },
  "devDependencies": {
    "@eslint/js": "^9.34.0",
Author	SHA1	Message	Date
Madison Grubb	a3c54b1c82	use sharp and improve prompting All checks were successful ci/woodpecker/push/ci Pipeline was successful Details ci/woodpecker/cron/ci Pipeline was successful Details	2025-09-05 16:48:35 -04:00
Madison Grubb	be7534be8d	smaller image, larger image would crash comfyui	2025-09-05 13:32:49 -04:00
Madison Grubb	23fae22735	make titles always uppercase. cleanup copy footer All checks were successful ci/woodpecker/push/ci Pipeline was successful Details	2025-09-05 13:21:06 -04:00
Madison Grubb	d436284476	improve gen All checks were successful ci/woodpecker/push/ci Pipeline was successful Details	2025-09-05 13:18:24 -04:00
Madison Grubb	800c9c488c	lower cfg to 2. All checks were successful ci/woodpecker/push/ci Pipeline was successful Details	2025-09-05 09:49:54 -04:00
Madison Grubb	27dfed05ac	improve image gen prompting. increase cfg from 1->3 to make prompt follow more aggressively Some checks failed ci/woodpecker/push/ci Pipeline failed Details ci/woodpecker/cron/ci Pipeline was successful Details	2025-09-04 23:09:57 -04:00
Madison Grubb	714d0351ea	fix png compression	2025-09-04 23:02:28 -04:00