Recently brushed by AI painting, I was shocked, so real.
I heard that Ali also released the controlled diffusion model Composer; The model is said to be trained on 5 billion parameters, and unlike the Stable Diffusion principle, the core of the technology is to use neural networks to decompose raw images and represent them as semantic features. Then, by manipulating these semantic features, compositing and editing of the image can be achieved. It is said to have a wide range of application prospects, such as virtual dress-up, e-commerce recommendation, smart advertising and other fields.
With the continuous development and progress of computer technology, image generation technology has also been greatly improved. In this context, more and more image generation models have been widely used. So what model do the AI sisters and AI little girlfriends use to brush the screen? Among them, the Stable Diffusion, DreamBooth diffusion model and Chilloutmix model are very popular.
Stable Diffusion
The Stable Diffusion model is an image generation model based on stochastic differential equations, and its core idea is to iterate the image through multiple time steps to finally produce a high-resolution image. This model is very scalable and flexible, and can produce very realistic images.
Chilloutmix
The Chilloutmix model is an image generation model based on deep learning, which is able to produce very beautiful and detailed images. The core idea of this model is to generate images with great artistic value through the learning of image features, combined with a variety of different image generation techniques.
DreamBooth
The diffusion model is an image generation model based on generative adversarial networks (GANs). This model is able to use the competition of generators and discriminators to produce images with great artistic and aesthetic value. This model can train very complex and highly detailed images, making the resulting images very realistic and stunning.
The above models may depend on each other, and finally use a LORA training model, LoRA (Low-Rank Adaptation of Large Language Models). Mainly based on the training results of the above model for secondary training, this model not only retains the language understanding and generation ability of the pre-trained model, but also better adapts to the target domain or task more inclined to the content you want to express.
Most of this content is not suitable for children, mostly from chilloutmix and Lora.
Finally, the Stable Diffusion, DreamBooth diffusion model, and Chilloutmix model are excellent image generation models. They are highly scalable and flexible, producing very realistic and stunning images.
What does the future look like? What do you think? However, the otaku in the comment area began to get restless.