Neuron Apple V1.0

A high-fidelity, production-grade SDXL-based text-to-image pipeline developed by Neura Tech AI.

Overview

Neuron Apple is a specialized text-to-image generation model built on top of stabilityai/stable-diffusion-xl-base-1.0.

It integrates a custom AppleConditioningBridge (MLP/GELU based) to enhance text conditioning, typography alignment, and dynamic aspect ratio processing, optimized specifically for T4 hardware.

Developer

Developed by

Neura Tech AI

Base Model

Base Model

stabilityai/stable-diffusion-xl-base-1.0

We sincerely thank Stability AI for releasing the SDXL base model.

Model Details

Model Name: Neuron-Apple-Pro-XL
Developer: Neura Tech AI
Base Model: stabilityai/stable-diffusion-xl-base-1.0
Architecture: SDXL UNet + Custom AppleConditioningBridge
Hardware Target: T4 Optimized (Sequential CPU Offloading)
Key Features: Dynamic Aspect Ratio Parsing (--ar), Enhanced Text Alignment, T4 VRAM Management
License: OpenRAIL++

Quick Usage

import torch
from diffusers import StableDiffusionXLPipeline
from safetensors.torch import load_file

# Load base pipeline with CPU offloading for T4 stability
pipe = StableDiffusionXLPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float16,
    use_safetensors=True
)
pipe.enable_sequential_cpu_offload()

print("Neuron Apple Pro pipeline loaded successfully!")