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
|
Download README.md from Neuron-AI-Labs/Neuron-Apple-V1.0: direct link, hf CLI and curl.
- Browser
- Download file 1.85 kB
-
https://huggingface.co/Neuron-AI-Labs/Neuron-Apple-V1.0/resolve/main/README.md
- Command line
-
hf download hf://Neuron-AI-Labs/Neuron-Apple-V1.0/README.md
-
curl -L -o README.md https://huggingface.co/Neuron-AI-Labs/Neuron-Apple-V1.0/resolve/main/README.md
1.85 kB
| license: openrail++ | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| pipeline_tag: text-to-image | |
| tags: | |
| - stable-diffusion-xl | |
| - sdxl | |
| - text-to-image | |
| - neuron-apple | |
| - custom-bridge | |
| - t4-optimized | |
| - Neura-Tech-AI | |
| - T2I | |
| language: | |
| - en | |
| new_version: Neuron-AI-Labs/Neuron-Apple-V1.0 | |
| # 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 | |
| ```python | |
| 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!") | |
| ``` | |
| # © 2026 Neura Tech AI. All rights reserved. |