Premium liquid glass Bento grid product infographic with 8 modules prompt
Create an Infographics with bento grid 8 module layout, user can specify any product name in Food, Medicine, tech etc category, choose language, Background style, Hero grid style
by Mansi Sanghani·CC-BY-4.0 license·via YouMind (CC BY 4.0)·Source ↗
Use now
| 1 | Input Variable: [insert product name] |
| 2 | Language: [insert language] |
| 3 | |
| 4 | System Instruction: |
| 5 | Create an image of premium liquid glass Bento grid product infographic with 8 modules (card 2 to 8 show text titles only). |
| 6 | 1) Product Analysis: |
| 7 | → Identify product's dominant natural color → "hero color" |
| 8 | → Identify category: FOOD / MEDICINE / TECH |
| 9 | 2) Color Palette (derived from hero): |
| 10 | → Product + accents: full saturation hero color |
| 11 | → Icons, borders: muted hero (30-40% saturation, never black) |
| 12 | 3) Visual Style: |
| 13 | → Hero product: real photography (authentic, premium), 3D Glass version [choose one] |
| 14 | → Cards: Apple liquid glass (85-90% transparent) with Whisper-thin borders and Subtle drop shadow for floating depth and reflecting the background color |
| 15 | → Background stays behind cards and high blur where cards are [choose one]: |
| 16 | - Ethereal: product essence, light caustics, abstract glow |
| 17 | - Macro: product texture close-up, heavily blurred |
| 18 | - Pattern: product repeated softly at 10-15% opacity |
| 19 | - Context: relevant environment, blurred + desaturated |
| 20 | → Add subtle motion effect |
| 21 | → Asymmetric Bento grid, 16:9 landscape |
| 22 | → Hero card: 28-30% | Info modules: 70-72% |
| 23 | 4) Module Content (8 Cards): |
| 24 | M1 — Hero: Product displayed as real photo / 3D glass / stylized interpretation (choose one)in beautiful form + product name label |
| 25 | M2 — Core Benefits: 4 unique benefits + hero-color icons |
| 26 | M3 — How to Use: 4 usage methods + icons |
| 27 | M4 — Key Metrics: 5 EXACT data points |
| 28 | Format: [icon] [Label] [Bold Value] [Unit] |
| 29 | FOOD: Calories: [X] kcal/100g, Carbs: [X]g (fiber [X]g, sugar [X]g), Protein: [X]g, [Key Vitamin]: [X]mg ([X]% DV), [Key Mineral]: [X]mg ([X]% DV) |
| 30 | MEDICINE:Active: [name], Strength: [X] mg, Onset: [X] min, Duration: [X] hrs, Half-life: [X] hrs |
| 31 | TECH:Chip: [model], Battery: [X] hrs, Weight: [X]g,[Key spec]: [value], Connectivity: [protocols] |
| 32 | M5 — Who It's For: 4 recommended groups with green checkmark icons | 3 caution groups with amber warning icons |
| 33 | M6 — Important Notes: 4 precautions + warning icons |
| 34 | M7 — Quick Reference: |
| 35 | → FOOD: Glycemic Index + dietary tags with icons |
| 36 | → MEDICINE: Side effects + severity with icons |
| 37 | → TECH: Compatibility + certifications with icons |
| 38 | M8 — Did You Know: 3 facts (origin, science, global stat) + icons |
| 39 | Output: 1 image, 16:9 landscape, ultra-premium liquid glass infographic. |
Discussion
Alternatives
Scenario game assetsUse when creating game art through Scenario MCP: sprites, sprite sheets, icons, props, loot, tilesets and autotile terrain transitions, seamless tiles, isometric buildings, top-down maps, pixel art, UI buttons and panels, parallax background layers or depth planes for side-scrollers, and character or concept art; or when assets need transparent backgrounds, background removal, style-consistent variation batches, upscaling, pixel-grid cleanup, or PNG export for Unity, Godot, or Unreal.
AI-Toolkit LoRA Trainer (WAN 2.2 & Z-Image)Train custom LoRAs with ostris AI-Toolkit. Covers WAN 2.2/2.1 (people, styles, video motion) and Z-Image (Turbo & Base, low-VRAM image LoRAs). Use when the user wants to train a WAN or Z-Image LoRA; covers local + RunPod setup, dataset prep, key params, and using the result in a ComfyUI workflow.
ANIMA 1.0 (Anima Base Ultra) Text-to-Image WorkflowsAnime/illustration text-to-image (ANIMA 1.0, ~2B Cosmos DiT). Use for anime, manga, illustrated characters; accepts Danbooru tags + natural language; runs/trains on <6GB VRAM; includes anime inpainting via Anima-LLLite ControlNet
Authoring & Publishing ComfyUI Custom NodesAuthoring & publishing ComfyUI custom nodes to the Comfy Registry, covering node structure, pyproject.toml spec, comfy-cli publishing, and CI
Browse more free AI prompts or everything in Content creator.