#Aural training in pictures series#
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Leap AI recommends keeping most images to about 512 x 512px for the best results. Start by clicking Fine Tune on the left-side panel of your navigation bar. The possibilities for this are pretty cool, and while it sounds deceptively complicated, it's actually really easy to do. Now let's tackle one of the most appealing aspects of Leap AI: you can fine-tune your own model with your own images, and use AI to create images using that model as a reference. This works better in combination with upscaling, as this parameter adds a more realistic or photographic quality to your images. The higher your prompt strength, the closer to your prompt your AI results will be. (Or use the auto-suggest feature to add them for you.)Īdjust your prompt strength and upscaling. Don't want bad-quality images or mutated hands? Add terms like 'low quality' or 'bad anatomy' to your negative prompt box so the AI knows to omit them. You can even include common descriptors like 'cinematic shots' or 'Ghibli-esque shots.'Įxclude any unwanted terms or details. Don't just say 'painting.' Instead, add in the name of particular identifiers like 'cubism' or 'abstract art,' so the AI doesn't pull in random styles. Make sure you write out exactly what you're after, like 'dog chasing another dog in a field' instead of just 'dog running.' The AI will be able to narrow down its results better. Here's a quick recap on writing better prompts:īe specific and detailed in your output. This differentiates the model from DALL♾, for example, as DALL♾ doesn't deal with photography too accurately.

#Aural training in pictures download#

To be clear: these models don't belong to Leap AI, but because they're open source, anyone can download and use them in their own app if they have the technical skills. While Midjourney and DALL♾ have closed source, proprietary models that you have to use, Leap AI gives you the option of choosing between a whole bunch of open source models, like Openjourney and Stable Diffusion. The main difference between those apps and Leap AI are the models.

#Aural training in pictures series#

You enter your prompt, and you'll be given a series of images to choose from. When it comes to generating AI images with a prompt, Leap AI works more or less the same way as any other text-to-image app (like DALL♾ 2 or Midjourney). With a paid plan, you'll pay $0.005 for each additional image and $2 for each additional model.

#Aural training in pictures free#

With a free account, you can generate up to 100 images in the playground-with a cap on training one free model per month.

Right now, you can use Leap AI mostly for image generation and editing, but soon it'll open its doors to text and video generation-something I'll be very interested to see. Wait a few seconds, and you'll have four AI-generated images to choose from.Ĭlick the one you like, then Download, Save, or Share it. Once you're inside the playground, type your prompt in the prompt box, and click Generate. Go to Leap AI's website and sign up (there's a free option).Ĭlick Image on the home page next to Overview. The best way to get started with Leap AI is to dive right in and test out its image capabilities in the playground. Since I'm not a developer, I'll focus on those first two parts: image generation and model training. Leap AI can then take those stills and create an avatar for you.ĭevelopers and app creators can then integrate those personalized AI models into their apps, so they can build things like an image classifier, for example, or whatever cool, next-generation app idea they come up with. Imagine, as an example, you upload a few of your own personal headshots. Its best use case, though, is that you can train your own models to generate images based on the originals you feed it. In other words: you say what you want your image to look like, and the AI will take care of the rest. Like many other AI image generators, it's text-to-image, which means you just type in your prompt using natural language. Leap AI is a platform that lets you generate images (e.g., art, avatars, logos) using pre-trained, open-source models like Openjourney and Stable Diffusion.