Nowość: GPT Image 2.5 Flare i Sunburst. Wypróbuj za darmo: 3 obrazy po rejestracji, potem 8 kredytów za obraz.
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Futurystyczny Pulpit Rekomendacji Modeli AI
Projekt UI / UX

Futurystyczny Pulpit Rekomendacji Modeli AI

Generuje ultraszeroki cyberpunkowy pulpit nawigacyjny prezentujący benchmarki modeli AI i specyfikację sprzętu. Modyfikuj tekst w nawiasach, aby dostosować widok.

Prompt

Dark futuristic dashboard infographic screenshot for [LLMFIT RECOMMENDATIONS], displaying local AI model performance metrics on an ultrawide desktop panel. Setting & Canvas: Ultra-wide 21:9 ratio computer monitor UI screenshot. Dark theme with pitch black and deep teal background, subtle ambient backlight glow, thin glowing neon cyan borders, fine scanline grid texture, and compact sci-fi terminal styling. Header: Top bar displays small label "LEGION / MODEL INTELLIGENCE", primary large title "[LLMFIT RECOMMENDATIONS]", subtitle "NVIDIA GeForce RTX 5090 · 31.84 GB VRAM · 125.18 GB RAM", and a square close-box icon on the top right. Left Panel (two-thirds width): Main card titled "LEGION MODEL LOADOUT" ("LEGION" in neon lime, remainder in white techno font). Exactly 4 horizontal hardware status tiles beneath: 1) NVIDIA GeForce RTX 5090, 31.8 GB VRAM with GPU icon; 2) Intel(R) Core(TM) Ultra 9 285K with CPU chip icon; 3) 125.2 GB system RAM with RAM module icon; 4) CUDA with circular CUDA emblem. Below hardware tiles, exactly 6 ranked rows with lime numbered badges (01-06), displaying model path, quantization, engine runtime, memory footprint, and token speed: 1) shawnw3j/Huihui-Qwen3.6-27B-abliterated-AWQ-MTP — AWQ-4bit — vLLM — 14.7 GB — 80.9 estimated tok/s 2) Vortex5/G4-Starry-Ocean-12B — Q8_0 — llama.cpp — 16 GB — 82.8 estimated tok/s 3) shawnw3j/Qwen3.6-27B-AWQ-MTP — AWQ-4bit — vLLM — 14.7 GB — 80.9 estimated tok/s 4) Minachist/Qwen3.6-27B-INT8-Autoround-V2 — AutoRound-4bit — vLLM — 16.6 GB — 80.9 estimated tok/s 5) exnivo/Qwen3.8-20B-Minitron — Q8_0 — llama.cpp — 22.6 GB — 49.9 estimated tok/s 6) Lorbus/Qwen3.6-27B-int4-AutoRound — AutoRound-4bit — vLLM — 16.6 GB — 80.9 estimated tok/s Bottom of left card features a centered neon divider with text: "ESTIMATED BY LLMFIT · VERIFY WITH A LOCAL BENCHMARK." Right Panel (one-third width): Titled "VERIFIED LLMFIT DATA" with subtitle "ESTIMATES, NOT BENCHMARKS". Lists exactly 6 compact verification cards numbered 01 to 06 in lime font, gray subtext, and cyan performance metrics: 80.9, 82.8, 80.9, 80.9, 49.9, 80.9 tok/s. Bottom warning note in orange: "llmfit recommendations are estimates from detected hardware, not measured benchmarks." Footer: Bottom left displays timestamp "GENERATED 8/17/2026, 7:53:32 PM". Bottom right features a lime-outlined clickable button labeled "[Refresh scan]" with a sync icon. Style & Constraints: Crisp, sharp digital HUD UI graphic, high-contrast condensed sans-serif technical typography, angular framing, no real-life humans or external photography, pure technical dashboard graphic.

Co możesz dostosować

Przed generowaniem zamień te części promptu na własny temat lub tekst.

  • [LLMFIT RECOMMENDATIONS]symbol zastępczy
  • [Refresh scan]symbol zastępczy
  • “LEGION / MODEL INTELLIGENCE”tekst w cudzysłowie
  • “NVIDIA GeForce RTX 5090 · 31.84 GB VRAM · 125.18 GB RAM”tekst w cudzysłowie
  • “LEGION MODEL LOADOUT”tekst w cudzysłowie
  • “LEGION”tekst w cudzysłowie
  • “ESTIMATED BY LLMFIT · VERIFY WITH A LOCAL BENCHMARK.”tekst w cudzysłowie
  • “VERIFIED LLMFIT DATA”tekst w cudzysłowie

Szczegóły promptu

Model
GPT IMAGE 2
Koszt za obraz
1K: 43 kredytów · 2K: 86 kredytów · 4K: 143 kredytów
Proporcje
21:9
Dodano

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