Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion-xl
sdxl
neuron-apple
custom-bridge
t4-optimized
Neura-Tech-AI
T2I
Instructions to use Neuron-AI-Labs/Neuron-Apple-V1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Neuron-AI-Labs/Neuron-Apple-V1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Neuron-AI-Labs/Neuron-Apple-V1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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# Neuron Apple
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> A high-fidelity, production-grade SDXL-based text-to-image pipeline developed by **Neura Tech AI**.
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# Overview
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**Neuron Apple
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It integrates a custom **AppleConditioningBridge** (MLP/GELU based) to enhance text conditioning, typography alignment, and dynamic aspect ratio processing, optimized specifically for T4 hardware.
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new_version: Neuron-AI-Labs/Neuron-Apple-V1.0
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# Neuron Apple V1.0
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> A high-fidelity, production-grade SDXL-based text-to-image pipeline developed by **Neura Tech AI**.
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# Overview
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**Neuron Apple** is a specialized text-to-image generation model built on top of **stabilityai/stable-diffusion-xl-base-1.0**.
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It integrates a custom **AppleConditioningBridge** (MLP/GELU based) to enhance text conditioning, typography alignment, and dynamic aspect ratio processing, optimized specifically for T4 hardware.
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