improve image gen prompting. increase cfg from 1->3 to make prompt follow more aggressively
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@@ -7,23 +7,22 @@ const __dirname = path.dirname(fileURLToPath(import.meta.url));
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const COMFYUI_URL = process.env.COMFYUI_URL || "http://localhost:8188";
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// Drawing style prefix
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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`;
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const STYLE_PREFIX = `clean line art, minimalist sketch, concept art sketch, black and white line drawing, lots of white space, sparse shading, simple hatching, very low detail, subtle color accent`;
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// 1. Generate engineered visual prompt
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async function generateVisualPrompt(flavor) {
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const rawPrompt = await callOllama(
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`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.
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`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.
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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.
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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.
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Rules:
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- Do NOT repeat phrases or wording from the input.
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- Only include things that could be seen in a single, still image.
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- Use visual keywords, rich adjectives, and clear scene descriptors.
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- Keep the prompt concise, 40-80 words.
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- Maintain simplicity in descriptions. The image must be a minimal, hand drawn sketch aesthetic with low detail.
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- Avoid characters or creatures unless clearly described.
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- Avoid referencing rendering style, color technique, camera effects, or drawing medium — focus only on the visual content of the scene.
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- Describe a sparse scene with a single focal point or area.
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- Use only 3-5 key descriptive phrases or tags.
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- The entire output should be very short, 20-50 words maximum.
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- Do NOT repeat wording from the input.
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- Focus only on visual content, not style, medium, or camera effects.
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- Avoid describing fine details; focus on large forms and the overall impression.
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- Do NOT include phrases like “an image of” or “a scene showing”.
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Input:
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@@ -52,7 +51,7 @@ function buildComfyWorkflow(promptText, negativeText = "") {
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"inputs": {
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"seed": Math.floor(Math.random() * 100000),
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"steps": 4,
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"cfg": 1,
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"cfg": 3,
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"sampler_name": "euler",
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"scheduler": "simple",
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"denoise": 1,
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@@ -157,7 +156,8 @@ async function downloadImage(filename, localFilename) {
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// 4c. Submit prompt and handle full image pipeline
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async function generateImageViaComfyUI(prompt, filename) {
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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");
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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`;
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const workflow = buildComfyWorkflow(prompt, negativePrompt);
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try {
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console.log("Submitting prompt to ComfyUI...");
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18
package-lock.json
generated
18
package-lock.json
generated
@@ -10,8 +10,7 @@
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"license": "SEE LICENSE IN README.md",
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"dependencies": {
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"dotenv": "^17.2.1",
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"puppeteer": "^24.17.1",
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"upng-js": "^2.1.0"
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"puppeteer": "^24.17.1"
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},
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"devDependencies": {
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"@eslint/js": "^9.34.0",
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@@ -1476,12 +1475,6 @@
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"node": ">= 14"
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}
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},
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"node_modules/pako": {
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"version": "1.0.11",
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"resolved": "https://registry.npmjs.org/pako/-/pako-1.0.11.tgz",
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"integrity": "sha512-4hLB8Py4zZce5s4yd9XzopqwVv/yGNhV1Bl8NTmCq1763HeK2+EwVTv+leGeL13Dnh2wfbqowVPXCIO0z4taYw==",
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"license": "(MIT AND Zlib)"
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},
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"node_modules/parent-module": {
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"version": "1.0.1",
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"resolved": "https://registry.npmjs.org/parent-module/-/parent-module-1.0.1.tgz",
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@@ -1878,15 +1871,6 @@
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"license": "MIT",
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"optional": true
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},
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"node_modules/upng-js": {
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"version": "2.1.0",
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"resolved": "https://registry.npmjs.org/upng-js/-/upng-js-2.1.0.tgz",
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"integrity": "sha512-d3xzZzpMP64YkjP5pr8gNyvBt7dLk/uGI67EctzDuVp4lCZyVMo0aJO6l/VDlgbInJYDY6cnClLoBp29eKWI6g==",
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"license": "MIT",
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"dependencies": {
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"pako": "^1.0.5"
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}
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},
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"node_modules/uri-js": {
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"version": "4.4.1",
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"resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
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@@ -13,8 +13,7 @@
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"description": "",
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"dependencies": {
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"dotenv": "^17.2.1",
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"puppeteer": "^24.17.1",
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"upng-js": "^2.1.0"
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"puppeteer": "^24.17.1"
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},
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"devDependencies": {
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"@eslint/js": "^9.34.0",
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