Did you see that strange light? It was a storm that came with the dawn. It was something else. It was terrible. Did you hear the rumbling? It’s probably rain. No, not the rain. He saw us. Follow us. He caught up with us. Get in the carriage, Mia. Let’s go in. Come on. The death elves are going through here. Mia, the death elf. And he is very big. Do you feel cold?
We have all played badminton, but do you know how lethal badminton is? It can even open our heads directly, yes, it is so horrible. What kind of speed does a small badminton need to cause such great lethality? How fast can Lin Dan, a famous badminton player in China, play badminton?
Answer the first question here. The fastest speed of badminton is 493 kilometers per hour. Perhaps some friends’ ideas are still stuck in the impression that the speed of badminton is 350 kilometers per hour, which is an old imperial calendar in previous years. Nowadays, the speed of badminton is getting faster and faster, and it has even become a deadly sport.
In one competition, Chen Wenhong, a famous Malaysian badminton player, created a speed of 493 kilometers per hour. It is unstoppable to jump and kill a ball at such a high speed.
Prior to this, the world’s highest badminton record was 421km/h, of course, it was also created by Chen Wenhong.
Then what is the concept of this speed of more than 400 kilometers per hour? You know, the highest operating speed of our high-speed rail now is 350 kilometers per hour, so badminton is actually faster than the high-speed rail? Do you think it’s incredible to see this? After all, badminton is called the fastest ball game in the world.
In fact, in addition to Chen Wenhong, the strength of Li Zongwei is not to be underestimated. The speed of badminton can reach 456 kilometers per hour, which can directly crack watermelons and deeply embed them in melon meat. If we convert this watermelon into our heads, we suddenly feel that badminton is no longer so cute.
So, like our Chinese Olympic Champion Lin Dan, how fast can he play badminton?
The International Badminton Federation has published a ranking, and Lin Dan ranks fifth in the list of killing speed, with a speed of 401 kilometers per hour. There are friends here to say, since it is the first Olympic champion in the world, why can’t it speed up to the fastest?
Badminton, though extremely fast, is a skillful sport after all. Players who can beat speedminton are not necessarily strong. But strong athletes can generally hit a speed of nearly 400 kilometers per hour. For example, Fu Haifeng, a famous player in China, hit a speed of 396 kilometers per hour.
Since badminton is so fast, how lethal is it? Lin Dan gave us a demonstration. In the reality show "Come Champion" of Zhejiang Satellite TV, a board with a thickness of 12 mm was easily broken by Lin Dan.
So when we play badminton, we must pay attention to safety.
In fact, in addition to the extremely fast speed of badminton, the speed of other ball games can also reach quite amazing levels.
Tennis, similar to badminton, has reached a service speed of 246 kilometers per hour. In addition, the speed of football has reached 149 kilometers per hour, which was created by Carlos, a heavy gunner.
No wonder there are so many athletes with concussion in football matches, but we don’t know how far our national football team can play. Football players who have won proud rankings abroad are strong and muscular. In contrast, our national football team is relatively quiet.
The amazing speed of these ball games not only affirms the athletes’ efforts, but also reflects the limits of human beings invisibly. So in the future, what amazing record can this sport be created?
Robots in science fiction movies have always been one of the technological futures that people yearn for, but in reality, with the development of science and technology and the progress of robotics, can we expect robots in the future to be as good as those in movies? This paper will discuss the development of robotics and the future of sci-fi robots from many angles.
First of all, technically, artificial intelligence and robotics are experiencing unprecedented rapid development. Since 1950s, scientists have been working hard to develop various robots. At present, many robots can perform various tasks, such as industrial production, medical care, logistics and transportation.
However, the current robot technology still has many limitations, such as the lack of high intelligence and flexibility, which makes the robot in science fiction movies still seem to be a distant dream. Secondly, from the industrial and commercial point of view, robot technology has been widely used in various fields. Many large factories and production enterprises have adopted various types of robots for production, which can effectively improve production efficiency and quality, and reduce the work intensity of human workers. In the commercial field, robots are also widely used in logistics and express delivery to improve efficiency and reduce costs.
From the perspective of ethics and safety, the emergence of robots has also brought some problems. Scientists and policy makers must seriously consider the use safety and risks of robots and ensure that the behavior of robots conforms to ethical and moral standards. In addition, the development of artificial intelligence and robotics has also brought some negative effects, such as human unemployment and man-machine relationship.
Finally, from the cultural and social point of view, robots in science fiction movies have had a far-reaching impact on human imagination and cultural value. Robots are widely used in science fiction literature and movies, and have become one of the important cultural symbols, which embodies the expectation and imagination of human beings for future science and technology. This kind of imagination has also promoted the development of robot technology, prompting scientists to explore and innovate robot technology even harder.
To sum up, although robot technology and artificial intelligence technology are developing rapidly, it is still facing great challenges to realize the robot with high intelligence, strong flexibility and emotional connection with human beings in movies. However, robot technology has been widely used in various fields, bringing great convenience and benefits to mankind.
At the same time, the development of robot technology also needs to pay attention to ethical and safety issues, ensure that the behavior of robots conforms to moral and ethical standards, and balance the relationship between the development of robot technology and human interests. In addition, the robots in sci-fi movies have a far-reaching impact on human imagination and cultural value, and this imagination has also promoted the development of robot technology, prompting us to explore and innovate robot technology harder to realize the future dream of robot technology.
The popularity of ControlNet should also be discussed from this back photo.
A girl posted a back photo with three friends on the beach in a circle of friends. Very common daily sharing, photos are beautiful, but not much!
Then, a man named @viggo saw this photo, made some processing with AI painting and sent it to social software, which caused an uproar about AI painting.
Viggo used AI to process photos twice before and after painting. For the first time, he generated two comic photos with great aesthetic feeling, which changed the gloom of the original picture and made the whole picture look brand-new. The most surprising thing is that,AI did not obliterate the posture of the original picture, but greatly preserved the posture of the four girls.For example, the second girl on the left is carrying her hand behind her back, which is also preserved in the generated works.
Perhaps seeing the enthusiasm of netizens, viggo followed by a second round of creation. This time, the effect is even more amazing, no matter from the layering of the picture, the sense of lines or the use of special effects in the scene, it makes people shine.
With the popularity of his paintings, viggo shared the production method very openly. He exposed himself with the help ofStableDiffusionandControlNetThe power of.
As we all know, Stable Diffusion is a high-performance model, which generates higher quality images, runs faster, consumes less resources and occupies less memory, and is a milestone in the field of AI image generation.
01
So what is ControlNet?
A plug-in, which can accurately control and adjust the image.
ControlNet is an image morphing algorithm based on control points, which is mainly used in digital image processing, computer vision and computer graphics. In addition, it can also carry out nonlinear deformation of the image according to the given control points, so as to realize accurate control and adjustment of the image.
Let’s look at the basic structure of ControlNet first. ControlNet manipulates the input conditions of neural network blocks, thus further controlling the overall behavior of the whole neural network. here"network block"Refers to a group of neural layers, which are put together as a common unit for constructing neural networks, such as resnet block, multi-head attention block and Transformer block.
The concept is abstract, let’s take a look at its drawing effect!
1. Canny edge detection:By extracting line drawings from the original image, images with the same composition are generated.
2. Depth detection:By extracting the depth information from the original image, a map with the same depth structure can be generated.
3. ControlNet with semantic segmentation:
4. Diagram of HED edge detection
02
Where is the power of ControlNet?
-highly refined
Its advantage is that it can adjust the image with high precision without distortion.Compared with other image morphing algorithms based on grid or shape, the morphing effect of ControlNet is more natural and smooth, and it can better adapt to the characteristics of the image.
Simply put, this technology can add an additional input to the AI diffusion model and limit the output direction of AI. Just like building roads and signs in the endless desert, it provides a direction for lost travelers.
Before the advent of ControlNet, AI painters had to work hard on "magic spells" if they wanted to produce images with specific characteristics-users often needed to add a series of actions and position modifiers to describe the posture and physical characteristics of the characters in the pictures. Even so, drawing still needed a lot of luck. With ControlNet, AI can produce image files that meet specific requirements through sketches, human key point features, depth maps, human bones and other features.
At the beginning, it is mentioned that the back of four girls is generated. According to viggo, he first uses StableDiffusion pictures to convert words, then uses Text2Prompt plug-in to expand the search for keywords, and finally uses ControlNet plug-in to bind bones to start trying to change keywords.
Many people think that the release of Stable Diffusion is a milestone in the generation and development of AI painting. It provides the public with an available high-performance model, which not only produces very high-quality images, but also has low requirements for resources and memory. It doesn’t need any complicated operation, just select keywords, and it will create an image with great visual effect.
The emergence of ControlNet solved the pain point of AI painting. Using keywords to generate pictures will inevitably be flawed, especially in details.And ControlNet can improve the effect of drawing, and go deep into very subtle places.
More than that, it can also realize the conversion from line drawing to full-color drawing, and input a line drawing to get a filled drawing.
In a word, a stunning AI painting can be done by using Stable Diffusion to generate high-quality big pictures, supplemented by ControlNet icing on the cake.
Of course, its power is far more than that, besides generating static images, it can also generate dynamic videos!
03
The idea of ControlNet video
Recently, #AI One-Click magic change Video # has become one of the hot topics recently. In fact, this is the video version of ControlNet.It can generate pictures with the same composition through line drawing extraction, posture detection, or model recognition.
For example, IKUN and Titanic, which we are familiar with, can generate magic change videos with one click!
There are many ideas of videoization in ControlNet:
Method 1:Export the original video frame by frame, and then use ControlNet to transform the style of each picture. It is recognized that there is no one of the most cumbersome ways!
Method 2:Combined with EbSynth, key frames are generated by using ControlNet. Compared with the former one, it is much more convenient.
Method 3:Combining ControlNet technology with Pix2PixVideo technology, an online demonstration version of video generation supporting ControlNet is developed, which is the simplest generation method at present.
The user interface is very simple. When the original video is imported, the video will first be disassembled into a frame sequence, and the human pose map will be detected by using the Openpose model in ControlNet, and then a new portrait will be generated according to the text. Thanks to the control of the pose map, the human posture can be kept unchanged.
It can be seen that with the iteration of technology update, more and more technologies similar to ControlNet will flood into the market, and many people think that the painter profession is facing a great threat.
04
ControlNet should not let painters stop imagining.
But to help it better control the operation of the brush.
With the introduction of ControlNet in AI painting, it will bring a series of influences.This technology can help machines accomplish more tasks, improve productivity, improve painting quality and efficiency, enhance human-computer interaction, and provide new visual experience.At the same time, it also means that traditional artists may face competitive pressure.
As more and more enterprises began to use AI painting to draw images, ControlNet technology began to enter people’s field of vision. At present, many enterprises are trying to use ControlNet technology to improve their image rendering technology, and hope to gain more competitive advantages by using this technology. Applicable industries include construction industry, machinery manufacturing, energy industry, medical industry, government agencies and other industries.
It is generally believed that this can better control the "motion" of the brush and draw the desired image more accurately.
In a word, ControlNet has an important influence on the development of artificial intelligence and AI painting, but it never makes human painters lose their imagination! In the future, the development trend of ControlNet is more prospective.
Attached is the installation tutorial of ControlNet:
Premise: You should update the WebUI of AI painting to the latest version.
Pull:
The contents in https://github.com/Mikubill/sd-webui-controlnet warehouse can be pulled into the extensions folder under the WebUI file directory, or the zip can be downloaded directly.
Download:
Https://huggingface.co/lllyasviel/ControlNet/tree/main/annotator/ckpts, and put it in the ckpts directory under annotator in the plug-in directory.
Download:
The model under https://huggingface.co/webui/controlnet-modules-safetensors/tree/main is transferred to the models directory under the plug-in directory.
Now your ControlNet has been installed!
Specific use of the tutorial recommended bilibili video:
ChatGPT question and answer
ask
What are the defects of AI painting at present?
answer
Current artificial intelligence
Lack of creativity: AI painting can only generate new images based on existing images or data, lacking human creativity and imagination. Although AI can extract the features and styles of images through deep learning and generate corresponding images, AI lacks intuition, emotion and creativity, and it is difficult to create works of art with unique personality.
Unreal picture: AI painting can generate realistic images, but there are still some shortcomings in details and textures, and sometimes the generated pictures are not real enough to be easily identified.
Dependence on data: AI painting needs to rely on a large amount of data for training, and the lack of data will affect the quality of generated images. At the same time, the generated image is also easily limited by data, and it is difficult to create a new image beyond the data range.
Insufficient imitation: AI painting sometimes simply copies and repeats existing images or styles, lacking innovation and breakthrough, and it is difficult to achieve real imitation.
Insufficient ability of dialogue and interaction: At present, AI painting still lacks the ability of dialogue and interaction, so it can’t really interact and create with users, and it is difficult to meet the individual needs of users.