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sensor dslr

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Updated: May 12, 2026

styleanimedarkhdrsexyporn

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Type

LoRA

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Published

May 12, 2026

Base Model

Flux.1 D

Hash

AutoV2
365AD45C97

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

SENSOR DSLR — Style LoRA
Flux Dev · Kohya · Rank 1 · 1000 images

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TRIGGER TOKEN

scafrdsr<lora:sensor_dslr:1.1>

Place the trigger at the start of your prompt.
Recommended weight: 1.0 – 1.1

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ABOUT

A style LoRA trained on Flux Dev to push generations toward a high-end editorial and fashion photography aesthetic. It activates Flux's native realism engine producing organic skin texture, correct optical lens behavior, and natural light quality.

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WHAT IT DELIVERS

- Organic skin with visible micropores and natural T-zone sheen
- Translucent subsurface scattering on cheeks and nose bridge
- Detailed irises with radial fiber patterns and sharp limbal rings
- Individual hair strands with natural light sheen and flyaways
- Fine fabric texture — lace, crochet, ribbed knit, velvet, silk
- Creamy bokeh with shallow depth of field
- Natural response to diffused light and golden hour
- Warm editorial color grading with subtle film grain

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MULTI-LENS OPTICAL EMULATION

85mm Signature (The Portrait Standard)
Precision rendering of focal compression. Delivers aggressive
subject-background separation with a narrow depth-of-field
locked onto the ocular plane.

35mm Signature (The Contextual Master)
Maintains perfect rectilinear geometry in wide-angle shots.
Zero edge-warping on anatomical extremities in full-body or
architectural environments.

Volumetric Bokeh Engine
Simulation of physical lens diaphragms. Produces creamy,
organic circles of confusion and realistic light fall-off
(vignetting) integrated into the sensor data.

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CLINICAL ANATOMICAL FIDELITY

Gravitational Physics Engine
Advanced rendering of natural body weight. Soft tissues exhibit
authentic sagging, flattening, and displacement based on pose
and gravity, completely bypassing the "perfect sphere" AI
artifacting.

Tensile Dermal Interaction
High-fidelity simulation of fabric-to-skin contact. Renders
realistic micro-indentations, skin displacement, and contact
shadows from straps, elastics, and tight-fitting textiles
(lace, velvet, spandex).

Structural Precision
Clinical accuracy in the rendering of the supra-sternal notch,
clavicle articulation, trapezius definition, and natural
abdominal supra-skin topography.

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MICRO-TEXTURE GENERATION (RANK 128 POWER)

Dermal Macro Detail
Preservation and generation of high-frequency surface data:
- Clinically accurate visible pores and skin grain variation
- Vellus hair (peach fuzz) with light-refractive properties
- Authentic freckles, moles, and non-perfect skin pigmentation

Advanced Subsurface Scattering (SSS)
Emulates light penetration through the dermis, maintaining
internal vascular warmth in skin tones. Eliminates the
ashy/gray shadow bias common in indoor and overcast scenarios.

Ocular & Labial Macro Resolution
Crystalline rendering of vertical lip lines, moist gloss
specularity, limbal rings, and complex iris fiber patterns.

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SENSOR DYNAMIC RANGE & CHROMATIC SCIENCE

High-Key Resilience
Advanced highlight recovery. Handles platinum/white hair and
reflective lace without digital clipping or detail loss.

Black-on-Black (Low-Light) Resolution
Exceptional signal-to-noise ratio simulation. Maintains clear
separation and texture between deep black velvet, black lace,
and black silk in night-time/mixed-light environments.

Color Gamut Neutrality
High-caliber process stability. Resilient against
hyper-saturated color contamination without bleeding into skin
tones or neutralizing subsurface scattering.

Specular Reflection Mapping
Logic-gate consistency for mirror reflections, metallic
jewelry, and moist skin surfaces, maintaining focal depth
through reflective planes.

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ETHNIC & SCENARIO AGNOSTICISM

Universal Hardware Emulation
Functions as a virtual CMOS sensor, not a stylistic filter.
Validated across diverse phenotypes (Asian, Slavic, European,
Mediterranean) without facial drift.

Environmental Stability
Zero-loss performance across extreme lighting conditions,
including golden hour, night-time mixed light, high-contrast
sunlight, and flat indoor studio light.

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DATASET CAPTION

The dataset was captioned with a structured technical prompt
built in layers:

- Camera and sensor spec: full-frame DSLR, 85mm prime, RAW,
  wide dynamic range, 8k UHD, film grain overlay
- Variable aperture system: behavior described from f/1.4 to
  f/16 as a continuous semantic scale
- Skin detail: micropores, vellus hair, freckles, subsurface
  scattering, micro-contrast, natural tonal variation
- Lighting: directional golden hour, rim light, distant tree
  bokeh in warm tones
- Anatomy and clothing: natural proportions, white crop top,
  denim shorts, gold jewelry, soft contrapposto
- Composition: rule of thirds, face focus, warm color grading,
  film grain, smooth tonal transitions

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TRAINING SPECS

Base model           Flux Dev
Engine               Kohya
Network dim          1
Network alpha        16
UNet LR              0.0005
Text encoder LR      0  (frozen)
Scheduler            cosine_with_restarts · 3 cycles
Target steps         4,000
Epochs               8
Resolution           960px with bucket enabled
Optimizer            AdamW8Bit
Noise offset         0.1
Batch size           2
Training images      1,000

Compatibility: Fully compatible with all FLUX.1 [dev] based checkpoints and control nets. Optimized for high-resolution upscaling (Tiled Diffusion/Ultimate SD Upscale).

Important note: avoid using this experimental Lora with other higher-rank Lora, as its effect will be nullified. I will recommend two low-rank Loras that can be used with it.

⚠️ CONTENT WARNING (NSFW):

This merge is uncensored and capable of generating high-quality explicit NSFW content and nudity. It has a tendency towards revealing clothing in casual settings.

  • For SFW results: Strong negative prompts are highly recommended (e.g., nude, nipples, explicit, nsfw).


⚠️ LICENSE & PERMISSIONS (READ BEFORE DOWNLOADING)

1. PERSONAL USE ONLY This model is provided free of charge for Personal, Non-Profit, and Research use only. You may use it to create images for your personal portfolio.

2. STRICTLY NO REDISTRIBUTION

  • DO NOT re-upload this file to Civitai, Hugging Face, or any other platform.

  • DO NOT host this model on third-party generation services (e.g., Tensor.art, Mage.space, Telegram Bots).

3. COMMERCIAL RESTRICTIONS Using this model or its outputs for commercial revenue (Influencers, Ads, Stock Photos) without a license is PROHIBITED.


💼 COMMERCIAL SERVICES & COMMISSIONS

I do not sell the model file for commercial use. Instead, I offer premium AI solutions for brands and agencies:

  • Exclusive AI Influencers: I create and manage consistent digital personas for Instagram/Social Media.

  • 🏢 Corporate B2B LoRAs: Custom training for brand identity and mascots.

  • 📸 High-End Image Packs: Monthly content packages for your brand.

To hire me for professional AI Modeling services: 📩 Contact: [[email protected]]

o activate the model you need to insert the token "scafrdsr" and the class "woman"

Recommended strength: 0.6-1.3

scafrdsr<lora:sensor_full_frame_epoch_3:0.6>

Recommended settings:

Standard resolutions 512 x 640, 600x800, 640x960, 1024x1024

Resolution: 540x540 mark the Hires.fix, result 1080 x 1080 pixel

Use these recommended settings for generation:

Sampling method: Euler/simple

Sampling steps: 18-30

Distilled CFG Scale: 3,5 -

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Sampling method: Euler/beta

Sampling steps: 18-30

Distilled CFG Scale: 3,5 -

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