<h1 id="cinematic-photorealism-turbo-checkpoint">Cinematic Photorealism Turbo Checkpoint</h1>Ultra-realistic generation optimized for speed, precision, and material fidelity. Delivers professional-grade photography results in as few as <code>9 steps</code>. Fully compatible with FP8 quantization.<hr /><h2 id="overview">📘 Overview</h2> This is a high-fidelity photorealism checkpoint built for creators who refuse to compromise between quality and generation speed. Fine-tuned on diverse real-world imagery, it excels at capturing natural skin textures, anatomically accurate human forms, complex material interactions, and cinematic lighting. Optimized for modern inference pipelines, it maintains stunning detail even at low step counts and minimal CFG.<hr /><h2 id="key-features">✨ Key Features</h2><ul><li>🧴 True-to-Life Skin &amp; Imperfections: Visible pores, peach fuzz, natural freckles, and subsurface scattering. Zero "plastic" or airbrushed look.</li><li>🤲 Reliable Anatomy &amp; Dynamics: Stable hands, facial features, and complex poses (jumping, dancing, object interaction). No fused fingers or distorted joints.</li><li>🧵 Material Mastery: Accurate rendering of silk, denim, leather, wet surfaces, metal, glass, and macro textures. Clear separation between contrasting materials.</li><li>💡 Advanced Lighting &amp; Color Grading: Handles golden hour, neon nights, volumetric light, and high-contrast scenes without banding, noise, or color shifts.</li><li>⚡ Turbo-Optimized Workflow: Performs exceptionally at <code>9–15 steps</code> with <code>CFG 1.0–1.5</code>, drastically reducing VRAM usage and generation time.</li><li>🔧 FP8 Ready: Official FP8 variant retains &gt;95% visual fidelity. Ideal for lower VRAM setups, batch processing, or real-time workflows.</li></ul><hr /><h2 id="recommended-settings">⚙️ Recommended Settings</h2>ParameterValueSampler<code>DPM++ 2s a RF</code> (or <code>DPM++ 2M Karras</code>)Steps<code>9</code> (Turbo) / <code>20–30</code> (High Detail)CFG Scale<code>1.0</code> (Turbo) / <code>5.0–7.0</code> (Standard)Scheduler<code>KL Optimal</code>Resolution<code>1024x1536</code> (or native aspect ratio)VAEBuilt-in / <code>vae-ft-mse-840000</code>Clip Skip<code>1</code>SeedFixed for consistency, or <code>-1</code> for variation<hr /><h2 id="prompting-guide">📝 Prompting Guide</h2>Style: Use photography-focused descriptors. The model responds best to clear, technical prompts rather than artistic/stylized keywords.✅ Positive Prompt Examples:<pre><code>text</code></pre>1<pre><code>text</code></pre>1🚫 Negative Prompt:<pre><code>text</code></pre>1<hr /><h2 id="fp8-quantization-notes">🔧 FP8 Quantization Notes</h2><ul><li>FP8 variant uses <code>float8_e4m3fn</code> per-tensor scaling.</li><li>Tested across macro, portrait, material, night-scene, and dynamic pose benchmarks with negligible quality loss.</li><li>Recommended for: VRAM-constrained GPUs, batch generation, turbo workflows.</li><li>Keep <code>CFG ≤ 1.5</code> and <code>Steps ≥ 9</code> for optimal FP8 stability.</li></ul><hr /><h2 id="validation-and-testing">🧪 Validation &amp; Testing</h2>Rigorously benchmarked across 10+ scenarios: ✅ Macro eye/portrait (skin, lashes, reflections) ✅ Hand-object interaction &amp; anatomy ✅ Mechanical macro (gears, metal, glass) ✅ Interior reflections &amp; wet surfaces ✅ Material contrast (denim, leather, wood) ✅ Night neon &amp; dynamic range ✅ Fashion editorial &amp; fabric dynamics ✅ Sports/action poses &amp; muscle definition ✅ Dance &amp; flowing fabric physics ✅ FP16 ↔ FP8 visual parity verification<hr /><h2 id="credits-and-license">📜 Credits &amp; License</h2><ul><li>Base Architecture: <code>[e.g., SDXL / Z-Image Turbo / Custom]</code></li><li>Trained/Fine-tuned by: <code>[Your Handle/Name]</code></li><li>License: <code>[e.g., CreativeML Open RAIL-M / CC BY-NC 4.0 / Custom]</code></li><li>⚠️ Disclaimer: This model is intended for creative, artistic, and research purposes. Users are responsible for complying with local laws and ethical guidelines. Generated content does not represent real individuals unless explicitly stated.</li></ul><hr />💡 Tip: If you experience minor contrast shifts in FP8, switch to <code>e5m2</code> dtype or increase steps to <code>12–15</code>. For maximum realism, keep CFG at <code>1.0</code> and let the model’s native priors guide composition.

FasciumZ-Image turbo

## 🏆 FasciumZ-Image Turbo NSFW - NEW MERGETESTED &amp; PROVEN:✅ 10/10 on ALL complex scenarios✅ Perfect anatomy (hands, feet, complex poses)✅ Extreme perspective &amp; reflections✅ Wet/water effects with physics✅ Sheer lace fabric transparency✅ Neon/cinematic lighting✅ Volumetric smoke &amp; atmosphere✅ Macro-level detail✅ Dynamic motion &amp; hair physics## 🎨 Recommended Settings:• Sampler: euler_a• Scheduler: KL Optimal • Steps: 9 (fast) or 12 (cinematic/analog)• CFG: 1.0 (critical!)• Resolution: multiples of 32## ⚡ Performance:This model excels at EXTREME scenarios:- Complex reflections (mirrors, water)- Multi-colored lighting (neon, mixed sources)- Atmospheric effects (smoke, steam, rain)- Dynamic poses with motion- Extreme camera angles- Macro detail photographyQuality: TOP 1% of 2026 models 💯## ⚠️ IMPORTANT: Specifying EthnicityBy default, the model may generate Asian/Eastern features due to base model training data.To get specific ethnicity, ALWAYS specify in prompt:✅ Caucasian/European: "caucasian woman, European features"✅ Asian: "Asian woman, Japanese/Korean/Chinese features"✅ Black/African: "Black woman, African features, dark skin"✅ Latina: "Latina woman, Hispanic features"✅ Mixed: "mixed race woman, biracial features"Example:"cinematic film still, beautiful caucasian woman with blonde hair, European features, natural skin texture..."

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