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Invoke AI released two new features to its AI-based image creation platform. According to the company, these new features — the Model Trainer and Control Layers — offer some of the most refined controls in image generation. Both tools allow users granular control how AI creates and modifies their images. Invoke also announced that it has achieved SOC 2 compliance, which indicates that the company has passed several tests indicating a high level of data security.
Invoke CEO Kent Keirsey spoke with GamesBeat about the platform’s new features and how they offer more control and refinement over an image. The bespoke Model Trainer allows a company to train custom image generation models with as few as twelve pieces of their own content. According to Keirsey, this offers more consistent images that are in-line with a developer’s IP, meaning that the AI can create art with the same style and design features more often.
“We’re helping the models understand what we mean when we use certain language,” said Keirsey. “When we get specific and say we want this specific interpretation, what that means is we need anywhere from 10-20 images of this idea, this style we want to train… We’re saying, ‘Here’s our studio’s style with different subjects.’ You might do that for a general art style. You might do it for a certain intellectual property.”
According to Invoke, one of its goals is to offer increased security, hence the SOC 2 compliance. With greater security comes a decreased risk that a developer’s images can be used to help create another studio’s intellectual property.
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How to train your AI
The second feature that Keirsey demonstrated is Control Layers, which allows users to partition specific areas of an image and assign prompts to those areas. For example, a user can paint the upper corner of an image with the layer tool and give the AI a …
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Join gaming leaders live this May 20-21 in Los Angeles to examine the strategies needed to adapt and excel in an ever evolving landscape, featuring insights from leading voices and thought leaders in the industry. Register here.
Invoke AI released two new features to its AI-based image creation platform. According to the company, these new features — the Model Trainer and Control Layers — offer some of the most refined controls in image generation. Both tools allow users granular control how AI creates and modifies their images. Invoke also announced that it has achieved SOC 2 compliance, which indicates that the company has passed several tests indicating a high level of data security.
Invoke CEO Kent Keirsey spoke with GamesBeat about the platform’s new features and how they offer more control and refinement over an image. The bespoke Model Trainer allows a company to train custom image generation models with as few as twelve pieces of their own content. According to Keirsey, this offers more consistent images that are in-line with a developer’s IP, meaning that the AI can create art with the same style and design features more often.
“We’re helping the models understand what we mean when we use certain language,” said Keirsey. “When we get specific and say we want this specific interpretation, what that means is we need anywhere from 10-20 images of this idea, this style we want to train… We’re saying, ‘Here’s our studio’s style with different subjects.’ You might do that for a general art style. You might do it for a certain intellectual property.”
According to Invoke, one of its goals is to offer increased security, hence the SOC 2 compliance. With greater security comes a decreased risk that a developer’s images can be used to help create another studio’s intellectual property.
GB Event
Countdown to GamesBeat Summit
Secure your spot now and join us in LA for an unforgettable two days experience exploring the theme of resilience and adaptation. Register today to guarantee your seat!
Register Here
How to train your AI
The second feature that Keirsey demonstrated is Control Layers, which allows users to partition specific areas of an image and assign prompts to those areas. For example, a user can paint the upper corner of an image with the layer tool and give the AI a …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]