Project AURIONAI Use-Cases Research & Innovation
image generation

Juggernaut-XL v9

Community fine-tune of SDXL from RunDiffusion, also packaged by OpenVINO for Intel hardware.

Levelmodel
Classimage generation
Parametersnot in the notes
Contextnot in the notes
Released18 Feb 2024
Opennessopen weights restricted
Runs onnot in the notes
Statusactive

Lineage

distillfinetune
SDXL to SDXL-Lightning: distill, high confidenceSDXL to Juggernaut-XL v9: finetune, high confidenceSDXLSDXLStability AIJuggernaut-XL v9Juggernaut-XL v9Feb 2024SDXL-LightningSDXL-LightningByteDance, Feb 2024
Stability AISDXL is the parent (finetune)high confidenceHugging Face base_model
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 3 models. Confidence and evidence are the notes' own.

R&D Topics

Text-to-image foundation models (diffusion and flow transformers)produced by

Runtimes

OpenVINOintel, 2026.4.1, apache-2-0

Identity

Developer
not in the notes
Family
not in the notes
Released
18 Feb 2024 sourcesregistry date
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
diffusion
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
CreativeML OpenRAIL-M licence tag. OpenVINO publishes int4, int8 and fp16 builds.
Context length
not in the notes
Input
text
Output
image
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights restricted
Licence
not in the notes sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
OpenVINO
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. huggingface.co/RunDiffusion/Juggernaut-XL-v9 https://huggingface.co/RunDiffusion/Juggernaut-XL-v9
  2. huggingface.co/OpenVINO/Juggernaut-XL-v9-fp16-ov https://huggingface.co/OpenVINO/Juggernaut-XL-v9-fp16-ov

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Juggernaut-XL v9", https://aurion.semai.id/models/rundiffusion-juggernaut-xl-v9/, records of October 2026.