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dtaddis/
stable-diffusion-xl-refiner-1.0-onnx

Name: stable-diffusion-xl-refiner-1.0-onnx
Availability: InStock

onnx

stable-diffusion-xl

unity

unity-inference-engine

sentis

localimagegen

image-to-image

stabilityai/stable-diffusion-xl-refiner-1.0

quantized

openrail++

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Stable Diffusion XL Refiner 1.0 — corrected ONNX export

This repository contains a standard-operator, external-data ONNX export of the official Stable Diffusion XL Refiner 1.0 UNet. It is the full-precision source used to produce the optimized Unity Inference Engine model for LocalImageGen.

Correction notice (26 July 2026): the UNet in the repository's earlier revisions produced incorrectly low-amplitude noise predictions and must not be used. The current main branch replaces it with a fresh export from the official Stability AI checkpoint. Existing clones should pull the current revision and replace both files in unet/.

Which repository should I download?

LocalImageGen customer: use LocalImageGen's Model Manager. It downloads the tested FP16 .sentis artifact from dtaddis/localimagegen-sdxl-refiner-fp16.
ONNX conversion or engine integration: use this repository's unet/model.onnx and unet/model.onnx_data.

The Refiner is an optional second stage. It consumes low-noise latents from SDXL Base; it is not a standalone text-to-image model.

Export details

Upstream: stabilityai/stable-diffusion-xl-refiner-1.0
Pinned upstream revision: 5d4cfe854c9a9a87939ff3653551c2b3c99a4356
Precision: FP32 ONNX source weights
ONNX opset: 14
Operators: standard ONNX operators; no ONNX Runtime custom attention fusion
External data filename: model.onnx_data
Dynamic axes: batch, latent height/width, and text sequence length
Inputs: sample, timestep, encoder_hidden_states, text_embeds, time_ids
Output: out_sample

The included export_sdxl_refiner_unet.py documents the reproducible export wrapper and command-line interface. The tokenizer, text encoder, scheduler, and VAE files retained in this repository are shared SDXL pipeline components; LocalImageGen's Refiner profile reuses those components from its SDXL Base profile and downloads only the optimized Refiner UNet.

Keep model.onnx and model.onnx_data together in the same directory without renaming either file.

Integrity

File	Bytes	SHA-256
`unet/model.onnx`	2,858,274	`47957faab78710349a73de650b1c6590b98f950e4c384903a8c7264fc20c09ef`
`unet/model.onnx_data`	9,038,106,640	`b60900c7457ccf354cd72e56a34c0dad25911a900a00cad2e84be7962875f28e`

Validation

The corrected export was converted to FP16 with Unity 6000.5.5f1 and Unity Inference Engine 2.6.1. LocalImageGen's SDXL Base + Refiner pipeline was tested under D3D11 at 512×512 and 768×768 with a clean four/five-step low-noise handoff and no mosaic artifacts.

License

CreativeML OpenRAIL++-M. See LICENSE.md. This is a transformed inference artifact, not a newly trained model; all model credit belongs to Stability AI and the upstream contributors. Downstream users are responsible for reviewing and complying with the license and applicable laws.

dtaddis/stable-diffusion-xl-refiner-1.0-onnx