Workflow RAW Detailer — v1.0

🔧 NEURO HARMONY

Purpose: This workflow is designed to generate ultra-detailed RAW-style images using the RAW_Photography LoRA, ControlNet depth guidance, and multiple stages of high-resolution upscaling.

🧠 Core Components:

1. Model and LoRA

UNET: flux_dev.safetensors (fp8)

CLIP: clip_l.safetensors + t5xxl_fp16.safetensors

LoRA: RAW_Photography.safetensors (enabled at 100%) Model page here: https://civitai.com/models/1639720

LoRA is integrated via the Power Lora Loader (rgthree) node.

2. Prompting and Detailing

BilboXPhotoPrompt is used to generate rich photo-style prompts.

A separate prompt detailer enhances:

high-frequency surface texture,

edge and contour definition,

natural gradients,

depth and occlusion cues,

realistic material response,

and framing clarity.

FluxGuidance is applied with guidance: 3.5 to boost semantic conditioning.

3. Depth Guidance with ControlNet

Preprocessor: MiDaS-DepthMapPreprocessor at 1280px resolution

ControlNet: flux-depth-controlnet-v3.safetensors

Used via ControlNetApplyAdvanced with settings:

Strength: 0.6

Start: 0.0

End: 0.618

This ensures stable structure and perspective.

4. Detail Enhancement via DetailDaemon

Three progressive sampling stages, each wrapped with a DetailDaemonSamplerNode using:

detail_amount: 0.62

start/end: 1

bias: 0.62

smooth: true

Sampling is handled through SamplerCustomAdvanced and BasicScheduler nodes using karras/beta scheduling and controlled denoising.

5. Hi-Res Upscaling

After each sampling pass, image resolution is progressively increased with:

002_lightweightSR_DIV2K_s64w8_SwinIR-S_x2.pth

001_classicalSR_DIV2K_s48w8_SwinIR-M_x4.pth

1xSkinContrast-SuperUltraCompact.pth — for final skin cleanup

All upscaling is performed with precision to preserve microtexture and avoid artifacts.

📸 Finalization and Output

Results are compared using the Image Comparer (rgthree) in "Slide" mode.

Images are saved with SaveImage for both intermediate and final outputs.

✅ Summary:

Flux_RAW_HIRes_V2 is a highly optimized multi-stage workflow tailored for photorealism and ultra-fine detail. It combines:

a RAW photography LoRA,

progressive DetailDaemon refinement,

ControlNet depth stabilization,

SwinIR upscaling layers,

and enhanced semantic conditioning.

Ideal for portraits where skin detail, structure, and texture fidelity matter most.