Streamline Your Architecture: Design,
Analyze, and Optimize with Lucefact!

This comprehensive tool empowers you to optimize your neural network models, boosting
performance and efficiency in every step of your projects.

Drag & drop your model here
.h5 .pt .pth .onnx .pkl .safetensors

DEEP INSIGHTS WITH
NEURAL ARCHITECTURE ANALYSIS

58K
Params analyzed
32K
Layers mapped

Interactive functions interacting with the model

With flexible functions and capabilities, you can seamlessly explore layers, analyze parameters, and track dependencies. Using an intuitive visualizer, users can understand deep complex architectures tailored to their specifics.

Input Layer
Start Feature
Extraction
Proper Architecture?
Branch-1
Submit Root
Project App
Layout
Zoom
100%
View

Load a model to visualize architecture

Deep Analytics

Comprehensive analysis of your model's architecture and performance characteristics

Parameter Distribution by Layer

Load a model to see analytics

Layer Type Breakdown

--

Memory Analysis

Weights --
Activations (Est.) --
Gradients (Training) --
Total Estimated --

Computational Cost

-- Est. FLOPs
-- Est. Inference

Heaviest Layers

--

Layer Explorer

# Layer Name Type Parameters Trainable Input Shape Output Shape Activation
Load a model to explore layers

Model Data Extraction

Deep extraction of model parameters, training artifacts, and inferred metadata

Parameter Statistics

--
Total Parameters
--
Trainable
--
Frozen
--
Memory (FP32)
--
Memory (FP16)
--
Sparsity

Per-Layer Parameters

Training Configuration

Extracting...

Optimizer

Type --
Learning Rate --
Weight Decay --
Momentum --

Training Details

Epochs --
Batch Size --
Loss Function --
Device --

Preprocessing Pipeline

Inferred

Normalization

Mean --
Std --
Type --

Input Transform

Resize --
Color Space --
Input Range --
Channel Order --

Augmentations (Inferred)

--

Training Data Inference

AI Inferred

Possible Training Datasets

-- --%

Task Classification

Input Type --
Task Type --
Num Classes --
Est. Dataset Size --

Detected Class Labels

No class labels detected

Architecture Detection

Detected
Unknown
--
Backbone --
Head --
Depth --
Width --

Quantization & Optimization

Not Quantized
Precision FP32
Model Size --
Potential FP16 Size --
Potential INT8 Size --

Raw Extracted Data 

// Load a model to see extracted data

General Settings

Theme Choose your preferred color scheme
Auto-load sample Load sample model on startup
Animation speed Control transition speeds

Visualizer Settings

Default layout Initial visualization layout
Show parameter counts Display params on layer nodes
Show minimap Display navigation minimap
Node size scaling Scale nodes by parameter count

Export Settings

Image quality PNG export resolution multiplier
Include metadata in JSON Add full layer details to exports
Background in export Include background color in images

Metrics & Analysis

Memory estimation precision Float32 (4B) vs Float16 (2B)
Show FLOPs estimates Display computational cost
Health score threshold Minimum score for "healthy" badge

Data & Storage

History limit Max recent models to remember
Clear history Remove all recent models
Reset all settings Restore defaults

About Lucefact

Lucefact

Version 2.67.0

Neural Architecture Intelligence Platform

© 2026 Lucefact. All rights reserved.

0 Models Analyzed
0 Parameters Processed