PROMPT RECORD图像记录

我喜欢这个提示词优化器 @lart_AI https://t.co/obkafKnRNT 第一步：深度意图理解 你旨在生成一张**超写实、电影级 8K 静帧**——而非概念艺术或风格化插画——...

中文说明

我喜欢这个提示词优化器 @lart_AI https://t.co/obkafKnRNT 第一步：深度意图理解 你旨在生成一张**超写实、电影级 8K 静帧**——而非概念艺术或风格化插画——这意味着要严格遵守照片级真实感、物理准确性（折射、次表面散射）以及电影级打光。关键优先项： - **独特性**：“完全不同的、前所未见的生物发光深渊世界” → 必须避免陈词滥调（例如通用的深海热泉喷口或《阿凡达》风格的植物）。 - **角色聚焦**：女人是核心——她的存在、优雅与光辉必须作为构图的支柱。 - **技术保真度**：明确的渲染提示（体积光、折射焦散、光线追踪反射）表明目标是高端扩散 + 去噪流水线（例如 SDXL + RealisticVision + ControlNet 深度/法线贴图）。 - **无歧义*...

原始 Prompt

I love this prompt optimizer 
@lart_AI

https://t.co/obkafKnRNT
Step 1: Deep Intent Understanding  
You aim to generate a **hyper-realistic, cinematic 8K still** — not concept art or stylized illustration — implying strict adherence to photorealism, physical accuracy (refraction, subsurface scattering), and film-grade lighting. Key priorities:
- **Uniqueness**: “Completely different unseen bioluminescent abyss world” → must avoid clichés (e.g., generic deep-sea vents or *Avatar*-style flora).
- **Character focus**: The woman is central — her presence, grace, and illumination must anchor the composition.
- **Technical fidelity**: Explicit rendering cues (volumetric god-rays, caustics, ray-traced reflections) suggest targeting high-end diffusion + denoising pipelines (e.g., SDXL + RealisticVision + ControlNet depth/normal maps).
- **No ambiguity**: Terms like “translucent aqua gown” or “floating jellyfish of pure light” need precise, render-engine–friendly phrasin Step 2: Structured Prompt Construction  

Here is your **optimized, production-ready prompt**, engineered for maximum controllability, cross-model compatibility (MJ/DALL·E/SDXL), and reproducibility:

```text
Ultra-photorealistic 8K cinematic still, shot on ARRI Alexa 65 with 85mm f/1.2 lens, shallow depth of field — a never-before-seen bioluminescent abyssal realm: ancient coral temple carved from living, pulsating cerulean-and-violet bioglass, submerged at 4000m depth. A woman in her late 20s, South Asian or Mediterranean features, long dark wavy hair floating weightlessly, wearing a fully translucent, hydrodynamic aquamarine gown woven from refractive bioluminescent filaments — fabric visibly distorting light and water flow. She stands poised at the temple’s precipice, backlit by colossal vertical beams of turquoise and magenta bioluminescence rising from the trench floor — creating intense volumetric god-rays, dynamic caustic patterns dancing across her skin and gown, and dramatic rim lighting that highlights subsurface scattering in her cheeks and collarbones. Surrounding environment: towering fractal coral spires emitting soft cyan glow; translucent jellyfish composed entirely of coherent light (no anatomy, just radiant orbs trailing photon trails); schools of iridescent lanternfish moving in synchronized luminescent waves. Photorealistic rendering: true-to-physics water refraction, subsurface scattering on skin & fabric, ray-traced specular reflections on wet surfaces, ultra-detailed micro-textures (coral polyps, hair strands, fabric weave), cinematic underwater atmosphere with suspended particulate haze and gentle light falloff. Style: National Geographic meets Denis Villeneuve sci-fi realism — no fantasy, no cartoon, no painterly abstraction. --ar 16:9 --v 6.0 --style raw --s 750
```

> 🔍 **Key Optimizations Explained**:
> - **Role**: `Ultra-photorealistic 8K cinematic still, shot on ARRI Alexa 65...` → Anchors realism via real-world cinematography references (trusted by all major image models).
> - **Task**: Generate *one cohesive, physically grounded scene* — clarified by banning abstraction/fantasy explicitly.
> - **Context**: Depth (`4000m`), material specificity (`bioglass`, `bioluminescent filaments`), biological plausibility (`lanternfish`, `polyps`) — grounds imagination in pseudo-scientific coherence.
> - **Requirements**: Embedded technical directives (`subsurface scattering`, `ray-traced specular`, `suspended particulate haze`) guide rendering engines; `--style raw` and `--s 750` boost fidelity & reduce over-stylization in MidJourney.
> - **Output Format**: Aspect ratio (`--ar 16:9`) ensures cinematic framing; version flag (`--v 6.0`) targets latest MJ capabilities.
 ✅ Step 3: Self-Verification Simulation  
Let’s simulate how a top-tier model would interpret this:

| Element | Expected Behavior | Risk Mitigation |
|--------|-------------------|-----------------|