Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
ControlNet is an open-source neural network architecture designed to enhance
Stable Diffusion by enabling fine-grained control over image generation. It allows users
Show the rest of the publisher’s description (20 more lines)
to guide diffusion models using conditioning inputs such as edge maps, depth maps, human poses,
segmentation masks, and other structural information. ControlNet improves the accuracy and flexibility
of AI-generated images, making it highly useful for creative design, computer vision, and generative AI applications.
Features of ControlNet:
- Provides precise control over image generation using conditioning inputs.
- Supports various control types such as Canny edges, depth maps, scribbles, and pose estimation.
- Fully compatible with Stable Diffusion and Hugging Face Diffusers pipelines.
- Allows combining multiple ControlNet models for advanced image generation workflows.
- Built on PyTorch with GPU acceleration support.
- Easy integration using the diffusers Python library.
- Pretrained ControlNet models available for immediate use.
- Open-source and actively maintained by the AI community.
ControlNet Usage
$ sudo su
$ source /opt/controlnet-env/bin/activate
$ pip show diffusers | grep Version
Disclaimer: ControlNet is an open-source project developed by the AI research community and distributed
under open-source licenses such as Apache 2.0. It is provided "as is," without any warranty, express or implied.
Users are responsible for proper installation, configuration, and compliance with applicable licensing and usage
guidelines when deploying AI-generated content.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.