CelesteImperia/SDXL-QNN
By CelesteImperia · ↓ 0 · ♥ 0 · Updated 2026-02-27
What's in this repo
This page lists the files in CelesteImperia/SDXL-QNN, including decoder.onnx, encoder.onnx.
- 2 ONNX models (.onnx files)
- 7 files, including 2 .onnx, 2 .data, 1 .md, 1 .dlc
- Last updated 2026-02-27
ONNX files
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
CelesteImperia: SDXL QNN (Snapdragon NPU Native)
The elite tier of optimization. This repository contains NPU-Native DLC files forged specifically for the Qualcomm Hexagon NPU (Snapdragon X Elite).
🐉 The Snapdragon Advantage
- NPU-Native: Forged using the Qualcomm AI Stack (QNN/SNPE).
- Slim King: 10.3GB master weights compressed to 2.39GB via Enhanced INT8 Quantization.
- Hardware-Mapped: Fixed shapes (1024x1024) ensure maximum hardware block utilization.
📦 Components
unet/sdxl_unet_npu.dlc: The INT8 masterpiece.tinyvae/: DLC-native VAE for hardware-accelerated previews.clip/: NPU-optimized text encoders.
⚙️ Specifications
- Target: Hexagon NPU
- Input Geometry: Fixed 1x4x128x128 (Latent)
- Quantization: Enhanced Per-Channel INT8
Model info
onnx
inclusive-ai
qnn
sdxl
vedic-art
npu-ready
en
base_model:stabilityai/stable-diffusion-xl-base-1.0
base_model:quantized:stabilityai/stable-diffusion-xl-base-1.0
license:creativeml-openrail-m
region:us
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♥ 0
Created: 2026-02-27
Updated: 2026-02-27
View on Hugging FaceFiles (7)
.gitattributes
README.md
tinyvae/decoder.onnx
ONNX
tinyvae/decoder.onnx.data
tinyvae/encoder.onnx
ONNX
tinyvae/encoder.onnx.data
unet/sdxl_unet_npu.dlc
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