Juggernaut-XL-v9-int8-ov

• Model creator: RunDiffusion
• Original model: RunDiffusion/Juggernaut-XL-v9

Description

This is RunDiffusion/Juggernaut-XL-v9 model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to INT8 by NNCF.

Quantization Parameters

Weight compression was performed using nncf.compress_weights with the following parameters:

• mode: INT8_ASYM
• ratio: 1.0

For more information on quantization, check the OpenVINO model optimization guide.

Compatibility

The provided OpenVINO™ IR model is compatible with:

• OpenVINO version 2026.1.0 and higher
• Optimum Intel 1.27.0 and higher

Running Model Inference with Optimum Intel

1. Install packages required for using Optimum Intel integration with the OpenVINO backend:

pip install optimum[openvino]

2. Run model inference:

from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/Juggernaut-XL-v9-int8-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "Hyperdetailed Photography, a majestic lion in the savanna at sunset"
images = pipeline(prompt, num_inference_steps=30).images
images[0]

Limitations

Check the original model card for limitations.

Legal information

The original model is distributed under creativeml-openrail-m license. More details can be found in RunDiffusion/Juggernaut-XL-v9.

Disclaimer

Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel's Global Human Rights Principles. Intel's products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.