New: GPT Image 2.5 Flare and Sunburst. Try them free with 3 images on sign-up, then 8 credits each.
Try GPT Image 2.5
Dark Scientific Figure Library UI
UI / UX Design

Dark Scientific Figure Library UI

Renders a dark-mode web application dashboard indexing academic paper diagram presets. Adjust the bracketed titles, section headings, and figure categories to showcase different diagram styles.

Prompt

A polished dark-mode web application UI screenshot displaying a gallery index page for a curated research paper figure style library, titled "[研究论文图示]". Wide landscape 16:9 browser-like composition on a dark charcoal background with subtle grid lines, crisp typography, and high-contrast white and cyan accents. At the top center, the title "[研究论文图示]" appears beside a small stacked multicolor document icon, separated by a thin horizontal divider. In the upper-right corner is a compact rounded button labeled "↑ 图库索引". Below the divider on the left sits the bold section heading "[研究论文图示网格]". The main area features a 4-column grid of gallery cards with dark gutters and thin gray borders, showing 8 complete cards across the first two rows and 4 partially visible cards clipped at the bottom. Each card displays a clean, white-background scientific figure thumbnail, a bold title underneath, and three small dark tag pills reading "landscape", "high", and "Curated". Top cards include: Card 1 titled "患者队列与多模态生物标志物流称流程" with patient cohort diagrams; Card 2 titled "单细胞免疫图谱" with UMAP clusters and trajectory plots; Card 3 titled "多模态医疗 AI 方法图" with multimodal clinical AI pipeline; Card 4 titled "治疗响应统计图" with forest plots and statistics; Card 5 titled "Transformer 编码器-解码器架构" with stacked neural blocks; Card 6 titled "多智能体 LLM 系统架构" with central LLM and tool modules; Card 7 titled "去噪扩散正/逆向链" with diffusion process panels; Card 8 titled "经验缩放规律图" with scaling law curves. The bottom clipped cards begin with English titles: "Benchmark comparison across 10 frontier LLMs", "Ablation of core reasoning components across 5 benchmarks", "LLM pretraining data mixture and downstream splits", and "Representative multi-head attention patterns in a 16-layer Transformer". Clean SaaS aesthetic, no browser address bars, no photo clutter, no watermarks.

What you can customize

Swap these parts of the prompt for your own subject or wording before you generate.

  • [研究论文图示]placeholder
  • [研究论文图示网格]placeholder
  • “↑ 图库索引”quoted wording
  • “landscape”quoted wording
  • “high”quoted wording
  • “Curated”quoted wording
  • “患者队列与多模态生物标志物流称流程”quoted wording
  • “单细胞免疫图谱”quoted wording

Prompt details

Model
GPT IMAGE 2
Cost per image
1K: 43 credits · 2K: 86 credits · 4K: 143 credits
Aspect ratio
16:9
Added

Other templates