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What are Layer's legal terms? (and other legality questions)
What are Layer's legal terms? (and other legality questions)

Answers to your legal questions.

Updated over a week ago

Do I own the rights to assets that I produce using Layer?

You own the assets you create with Layer as long as you comply with the rules stated in our Terms of Service and Acceptable Use Policy.

How do you use my assets?

We use your assets only to improve your experience and not other people’s, including other Layer customers. We don’t and will never use your asset for any other purpose without asking for your explicit approval. Read our Terms of Service and Privacy Policy for more details on how we process your assets and personal data.

Are you performing any studies using our assets?

No. Our user's assets are not shared with each other or are used towards one big base model for training purposes. We do not perform any studies ourselves.

As an agency, I provide art outsourcing services. Do you require me to have proof of eligibility?

As long as you have their permission, we won’t require proof that you’re able to use their assets in Layer.

Do you limit the content that can be produced on Layer?

We do not apply any limits at the moment. We plan to address such requests on a case-by-case basis.

Does Layer provide transparency on the actions that are performed on the platform?

Yes, information such as date/time of generation, user who generated, specific model name/version, Input prompt and other control parameters, all outputs received are all provided in the prompt history section under Prompt History.

What’s the base foundation model you’re using?

We currently use Stable Diffusion 2.1 and fine tune it with our customer's assets. We call this ‘Style Training’.

Does Layer depend on a particular LLM?

We designed the product such that we can select different foundation models depending on the need.

Creating a style means training AI right? 


If I perform a style training in a specific workspace does it affect someone else's style in any way?

No - all trainings are done in isolation specific to your workspace. No trainings in different workspaces are affected by each other.

Where is the server?

Netherlands, EU.

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