<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/51ad4f0c-bad1-4afa-b4b8-87a30df95add/width=525/51ad4f0c-bad1-4afa-b4b8-87a30df95add.jpeg" /><h2 id="neuro-harmony">🔧 NEURO HARMONY</h2>Purpose: This workflow is designed to generate ultra-detailed RAW-style images using the <code>RAW_Photography</code> LoRA, ControlNet depth guidance, and multiple stages of high-resolution upscaling.<hr /><h2 id="core-components:">🧠 Core Components:</h2><h3 id="1.-model-and-lora">1. Model and LoRA</h3><ul><li>UNET: <code>flux_dev.safetensors</code> (fp8)</li><li>CLIP: <code>clip_l.safetensors + t5xxl_fp16.safetensors</code></li><li>LoRA: <code>RAW_Photography.safetensors</code> (enabled at 100%) <span style="background-color:rgb(25, 113, 194);color:rgb(193, 194, 197);font-family:-apple-system, &quot;system-ui&quot;, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:20px">Model page here: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1639720">https://civarchive.com/models/1639720</a></li><li>LoRA is integrated via the <code>Power Lora Loader (rgthree)</code> node.</li></ul><hr /><h3 id="2.-prompting-and-detailing">2. Prompting and Detailing</h3><ul><li>BilboXPhotoPrompt is used to generate rich photo-style prompts.</li><li>A separate prompt detailer enhances:<ul><li>high-frequency surface texture,</li><li>edge and contour definition,</li><li>natural gradients,</li><li>depth and occlusion cues,</li><li>realistic material response,</li><li>and framing clarity.</li></ul></li><li><code>FluxGuidance</code> is applied with <code>guidance: 3.5</code> to boost semantic conditioning.</li></ul><hr /><h3 id="3.-depth-guidance-with-controlnet">3. Depth Guidance with ControlNet</h3><ul><li>Preprocessor: <code>MiDaS-DepthMapPreprocessor</code> at 1280px resolution</li><li>ControlNet: <code>flux-depth-controlnet-v3.safetensors</code></li><li>Used via <code>ControlNetApplyAdvanced</code> with settings:<ul><li>Strength: 0.6</li><li>Start: 0.0</li><li>End: 0.618</li></ul></li></ul>This ensures stable structure and perspective.<hr /><h3 id="4.-detail-enhancement-via-detaildaemon">4. Detail Enhancement via DetailDaemon</h3>Three progressive sampling stages, each wrapped with a <code>DetailDaemonSamplerNode</code> using:<ul><li><code>detail_amount: 0.62</code></li><li><code>start/end: 1</code></li><li><code>bias: 0.62</code></li><li><code>smooth: true</code></li></ul>Sampling is handled through <code>SamplerCustomAdvanced</code> and <code>BasicScheduler</code> nodes using karras/beta scheduling and controlled denoising.<hr /><h3 id="5.-hi-res-upscaling">5. Hi-Res Upscaling</h3>After each sampling pass, image resolution is progressively increased with:<ul><li><code>002_lightweightSR_DIV2K_s64w8_SwinIR-S_x2.pth</code></li><li><code>001_classicalSR_DIV2K_s48w8_SwinIR-M_x4.pth</code></li><li><code>1xSkinContrast-SuperUltraCompact.pth</code> — for final skin cleanup</li></ul>All upscaling is performed with precision to preserve microtexture and avoid artifacts.<hr /><h2 id="finalization-and-output">📸 Finalization and Output</h2><ul><li>Results are compared using the <code>Image Comparer (rgthree)</code> in "Slide" mode.</li><li>Images are saved with <code>SaveImage</code> for both intermediate and final outputs.</li></ul><hr /><h2 id="summary:">✅ Summary:</h2>Flux_RAW_HIRes_V2 is a highly optimized multi-stage workflow tailored for photorealism and ultra-fine detail. It combines:<ul><li>a RAW photography LoRA,</li><li>progressive DetailDaemon refinement,</li><li>ControlNet depth stabilization,</li><li>SwinIR upscaling layers,</li><li>and enhanced semantic conditioning.</li></ul>Ideal for portraits where skin detail, structure, and texture fidelity matter most.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/abc1a7d0-d388-4e20-8cb8-d6fdb42f8f1d/width=525/abc1a7d0-d388-4e20-8cb8-d6fdb42f8f1d.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/78da99c5-0363-4d5e-9de1-484f7df98163/width=525/78da99c5-0363-4d5e-9de1-484f7df98163.jpeg" />

Workflow RAW Detailer

<ul><li>More detail</li><li>Stable geometry and volume with ControlNet Depth: the pose and perspective stay consistent, so the model spends its steps on micro-textures instead of fixing composition.</li><li>Gentle final detail boost via SwinIR upscaler.</li><li>Fewer edge artifacts.</li></ul>

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