How much does AI know about painting

AI painting

The principle of AI painting is based on artificial intelligence technology and deep learning algorithms. During the training process, the AI ​​model will learn attributes such as color, shape, texture, light and shadow through a large amount of image data, and then use these attributes to generate new images. Specifically, it will find the most similar material from the existing data set based on the input image, and then stitch them together to generate a new image. In this way, the AI ​​model can simulate the process of human painting creation, and can generate a large number of high-quality works in a short period of time.

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The advantages of AI painting are as follows:

  1. Fast and efficient: Compared with hand-painting, AI painting can quickly generate a large number of images, and can be copied and edited without limit, which improves work efficiency.

  2. High precision: With the help of computer computing and deep learning algorithms, AI painting can achieve extremely high precision and accuracy, avoiding errors and deviations that may occur during hand-painting.

  3. Automation and intelligence: AI painting does not require human intervention, and can be created and processed automatically. At the same time, AI can also assist designers to quickly simulate different design schemes, improving the intelligence level of design.

  4. Various styles: AI painting can simulate a variety of different painting styles, helping designers present different emotions and atmospheres through different styles.

  5. Cost saving: Compared with hand-painting, AI painting does not need to consume manpower, material resources and time, which reduces the cost and overhead of creation.

"Space Opera House" (Théâtre D'opéra Spatial), also translated as "Space Opera House" [2], is a painting by game designer Jason Allen (Jason Allen) [3], which is used by Allen Generated by AI drawing tool Midjourney, and then polished by Photoshop.

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AI painting model

The following are several common AI painting models:

  1. Neural Style Transfer: This model can apply an artistic style to an ordinary image to create a work-of-art image.

  2. GAN (Generative Adversarial Network): This model pits two neural networks against each other, one generating images while the other tries to distinguish those images from real ones. Through continuous iteration, the generated images will become more and more realistic.

  3. Pix2Pix: This model can transform an input image into another similar image. For example, stick figures can be converted into real images.

  4. DALL-E: This is a model developed by Open AI that can generate images from textual descriptions. It can generate images for some abstract concepts (such as "bull's head rose"), thus showing the infinite possibilities of imagination.

Popular models are as follows:

①, Midjourney (not open source): https://www.midjourney.com

②, Stable Diffusion (open source): https://github.com/CompVis/stable-diffusion

③, Disco Diffusion (open source): https://github.com/alembics/disco-diffusion

④, DALL-E-2 (not open source): https://openai.com/product/dall-e-2

Common tools for AI painting

1 Midjourney

The strongest AI painting software, but now free users can no longer use it.

2 dreamlike

URL: https://dreamlike.art

Log in with your Google account, it's easy to use.

3 DreamStudio

URL: https://beta.dreamstudio.ai

You also need to log in with your Google account.

4 playgroundai

URL: https://playgroundai.com

You can generate 1000 images per day for free.

For more ai tools, please refer to aibard123

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Origin blog.csdn.net/weixin_40425640/article/details/129977492