Flux.1 Dev Spicy Preset: Photorealistic Uncensored Denoising

Full Resolution

Generation Specs RTX 4070

Sampler euler

Scheduler simple

Steps 28

CFG Scale 1

Seed 4910284019

Target VRAM 12GB

VRAM 10GB - 12GB

GPU Hardware Compatibility

Optimal Ground Truth

Native GPU execution at full throughput with zero memory swapping.

FLUX.1-dev (FP8 / BF16) Min 10GB VRAM 1024×1024 RTX 4070 Verified

Flux.1 Dev Spicy Preset: Photorealistic Uncensored Denoising

High-fidelity Flux.1-dev canvas workflow with dual text encoders (CLIP L + T5xxl) and FP8 model precision. Optimized for intricate skin textures, natural folds, and anatomy accuracy.

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Flux.1 Dev Spicy Preset: Photorealistic Uncensored Denoising using FLUX.1-dev (FP8 / BF16) at 1024×1024 resolution. Requires minimum 10GB VRAM with sampler euler and scheduler simple (28 steps). Includes 1-click terminal model sync and canvas JSON graph.

Node Graph Pipeline 9 Total Nodes

Verify in Resolver

01 Load Models

UNETLoader

3 loaders (DiT, CLIP, VAE)

02 Conditioning

CLIPTextEncodeFlux

2 prompt encodings

03 KSampler

KSampler

DiT latent denoising

04 Decode & Save

VAEDecode

Latent to pixel space

Execution DAG Topology Interactive Visualizer

Drag to pan · Scroll to zoom · Hover wires

Model & Asset Setup 1-Click Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/fulfill-your-dirty-fantasies-flux-comfyui.sh | bash

Positive Prompt

masterpiece, raw authentic 8k photograph of a breathtaking 21-year-old East Asian beauty kneeling gracefully in shallow ocean foam waves at golden hour sunset, wearing an oversized drenched white linen button-up shirt clinging translucently to natural feminine curves, revealing subtle pastel bikini contours beneath, glistening sea droplets on tanned dewy shoulders, fiery golden hour halo backlighting, 85mm f/1.2

Negative Prompt

blurry, low quality, deformed limbs, bad anatomy, bad proportions, unclothed, floating limbs, muddy texture, lowres, watermark

LoRA Adapter Stack 1 Adapters

RTX 4070 Calibrated Weights

01 flux_artistic_realism_lora.safetensors +1

Required Models 5 Models

Disk Space Required: 17.8 GB (5 models · DiT/Base: 11.9 GB · Text Encoder: 5.1 GB · LoRAs: 650 MB · VAE: 170 MB)

models/diffusion_models/ 11.9 GB HuggingFace

flux1-dev-fp8.safetensors FLUX.1 [dev] FP8 diffusion weights (fits 12GB VRAM)

Get

models/text_encoders/ 4.89 GB HuggingFace

t5xxl_fp8_e4m3fn.safetensors T5-XXL FP8 text encoder for FLUX

Get

models/text_encoders/ 246 MB HuggingFace

clip_l.safetensors ViT-L/14 CLIP text encoder for FLUX

Get

models/vae/ 170 MB HuggingFace

ae.safetensors FLUX 16-channel AutoEncoder VAE

Get

models/loras/ 650 MB HuggingFace

flux_artistic_realism_lora.safetensors Weight: 1.0 (Anatomical photorealism fine-tune)

Get

Field Notes RTX 4070 Benchmark

Benchmark: RTX 4070 (12GB VRAM): ~26.4s per 1024x1024 frame (11.2 GB active VRAM footprint). RTX 4090: 11.2s.

Flux.1 Dev Photorealism Architecture & Guidance Dynamics: Leverages the 12B parameter FLUX.1 [dev] diffusion transformer with FP8 quantization to comfortably fit within 12GB VRAM cards. Combines DualCLIP conditioning (ViT-L/14 for rapid visual grounding + T5-XXL FP8 for nuanced linguistic comprehension). Enforces strict CFG 1.0 lock because Flux operates with internal guidance embeddings (guidance set to 3.5 via CLIPTextEncodeFlux); setting classic CFG > 1.0 burns out specular highlights and destroys subtle organic skin micro-textures. Chains the artistic realism LoRA adapter for refined physical wet cloth tension, caustic ocean reflections, and authentic skin translucency without cloud filter restrictions.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Flux.1 Dev Spicy Preset: Photorealistic Uncensored Denoising?

This workflow requires a minimum of 10GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 1024x1024 resolution.

How do I resolve missing custom nodes for this workflow?

You can drop the workflow JSON into our client-side Missing Node Auto-Resolver at https://decomfy.com/resolve/ to detect missing nodes and generate install commands, or run the 1-click terminal setup script provided below.

What quantization format and CLIP encoders should I load for Flux.1 Dev?

This workflow utilizes Flux.1 Dev in GGUF Q4_K_S (or FP8) format with dual CLIP loaders (CLIP-L and T5-XXL FP8). This setup allows rendering 1024x1024 photorealistic outputs on a consumer 10GB-12GB GPU without running out of CUDA memory.