ControlNet (SD 3.5 Large) Blur
No estimate
No hardware requirements for this model
This model's weights are open, but no parameter count has been published for it. Every memory and speed figure starts from that number, so we would rather show nothing than a fabricated estimate.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Stability AI
- Organisation type
- Industry
- Country
- United Kingdom of Great Britain and Northern Ireland
- Published
- 26 November 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Image-to-image, Image generation
- Base model
- Stable Diffusion 3.5 Large
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Open — downloadable
- Model access
- Open weights (restricted use)
- Training code
- Unreleased
- Hugging Face
- stabilityai
Stability AI Community license https://huggingface.co/stabilityai/stable-diffusion-3.5-large-controlnet-blur https://github.com/Stability-AI/sd3.5/
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- ControlNets for Stable Diffusion 3.5 Large
- Last updated
- 11 February 2026
What the numbers mean
Where it came from
ControlNet (SD 3.5 Large) Blur was published by Stability AI, in United Kingdom of Great Britain and Northern Ireland, in November 2024. The organisation is categorised as industry.
It works in Image generation, and is recorded as doing image-to-image, Image generation.
It is derived from Stable Diffusion 3.5 Large rather than trained from scratch, which is the usual way a specialised model is produced.
Published weights mean the model runs on your machine rather than someone else's, which is what makes the hardware question below answerable at all. It is published under the stabilityai organisation on Hugging Face.
Answers
ControlNet (SD 3.5 Large) Blur — common questions
Who created ControlNet (SD 3.5 Large) Blur?
ControlNet (SD 3.5 Large) Blur was published by Stability AI, based in United Kingdom of Great Britain and Northern Ireland, categorised as industry.
When was ControlNet (SD 3.5 Large) Blur released?
ControlNet (SD 3.5 Large) Blur was published in November 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is ControlNet (SD 3.5 Large) Blur used for?
ControlNet (SD 3.5 Large) Blur works in Image generation, and is recorded as handling image-to-image, Image generation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
Where can I download ControlNet (SD 3.5 Large) Blur?
Its weights are published under the stabilityai organisation on Hugging Face. We do not host model files — this site calculates what hardware is needed to run them.
What GPU do I need to run ControlNet (SD 3.5 Large) Blur?
We cannot say. ControlNet (SD 3.5 Large) Blur has open weights, but no parameter count has been published for it, and every memory and speed calculation starts from that number. We would rather show nothing than a fabricated estimate.
Is ControlNet (SD 3.5 Large) Blur open source?
Its weights are published, so ControlNet (SD 3.5 Large) Blur can be downloaded and run on your own hardware. Note that open weights is not the same as open source in the full sense — it says nothing about the training data, the training code, or the commercial terms attached.
How many parameters does ControlNet (SD 3.5 Large) Blur have?
No parameter count has been published for ControlNet (SD 3.5 Large) Blur, which is why no memory or speed figure appears on this page.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.