标签： 魔都新茶论坛

The transfer fee is ready! Manchester City found Calvin Phillips body double, and the champion attribute conquered Guashuai.

Manchester City has brought Calvin Phillips from Leeds this season, but the English midfielder didn’t get many playing opportunities in his first season at Manchester City. At the beginning of the season, players’ injuries were the main influencing factors. Although FIFA World Cup Qatar 2022 successfully participated, he was once again excluded from the team’s main force because of overweight after returning to Manchester City. It can be said that Guardiola has not found a way to activate the midfielder. Of course, Manchester City will not sell players this summer, but Rodley really needs a player who can share the pressure for him, and Manchester City has also locked in the target.

According to news media N1, Manchester City coach Guardiola has found a midfielder who can replace Calvin Phillips, form a good rotation with Rodley, and even have a competitive relationship. This person is none other than Chelsea’s Croatian midfielder kovacic. Joining the Blues from Real Madrid in 2018, kovacic has helped the Blues win the Europa League, Champions League, World Club Cup and Super Cup.

However, with the departure of Roman Abramovich, the Blues under Burleigh’s control are now playing very badly on the pitch, and Burleigh spent 600 million pounds to sign for two consecutive transfer windows this year, but the final result is not satisfactory. On this premise, the Blues will sell a large number of players this summer to ensure their financial balance, and the contract between kovacic and Chelsea will expire in Ming Xia, so it is very likely that the Blues will sell them soon to earn a transfer fee.

There is a high probability that Chelsea will not qualify for the Champions League next season, and many players in the team will also have their salaries reduced. Of course, these players were signed during the Burleigh period. As a meritorious player during tuchel’s coaching of Chelsea, kovacic’s blue career has basically come to an end. However, kovacic, who is only 28 years old, is still at the peak of his career, and Guardiola is very fond of the Croatian midfielder and hopes to sign this player for Manchester City this summer.

Guardiola once said that Calvin Phillips needs to increase his rhythm in short passing. In the game with Sheffield United, Guardiola continued to give players playing time, but more could only be returned, and he could not find the opportunity to adjust his body forward. Obviously, Calvin Phillips could not provide much help to Manchester City on the court when he was on the court. If players want to gain a foothold in Manchester City, it is very important to add some extra training, but Manchester City obviously can’t just wait, but wants to take the initiative.

It is reported that Manchester City is prepared to bring kovacic from Chelsea for a transfer fee of 30 million pounds, which is not low, and if Manchester City is really willing to pay such a high price, kovacic himself is obviously willing to join. After all, you can win more trophies in Manchester City, and compared with the chaotic Chelsea, Manchester City is obviously a good place for kovacic.

Of course, it is not known whether Calvin Phillips can lead to the outbreak of Manchester City’s second season. Like Grali and many other players, he has grown up under Guardiola’s guidance. However, it is obvious that Calvin Phillips’s first season in Manchester City is not mature enough for various reasons, and players should consider their own future. Therefore, it is very important for Calvin Phillips to integrate into Guardiola’s tactical system as soon as possible.

China football misunderstood you？ At the age of 26, the national football team lost a lot after being naturalized and restored to its original nationality.

China football spent a lot of money to introduce naturalized players during the Jin and Yuan football periods. Now some naturalized players have left China to restore their original nationality after receiving the money, and even some naturalized players have not made one appearance for the national football team. Recently, a former naturalized national football player returned to his original nationality and scored a goal in seconds. Have to let China football doubt his true ability.

The former naturalized football player in China is Xiao Taotao, who has recovered his Peruvian nationality and now plays for Peru Sports University. After returning to Peru, Xiao Taotao seems to have greatly increased his strength. He has already contributed one goal to the team. The club also regards Xiao Taotao as a key player. However, he has never even played in the Super League in China before, and is regarded as one of the most unsuccessful naturalization by China football.

After being naturalized by Evergrande, Xiao Taotao’s strength has not been fully recognized. Even when he was loaned to play football in China, the national team looked down on Xiao Taotao. Until he left China, he was not recognized by the national team and never got a chance to play for the China team. However, during his four years in China, he earned a lot of money, and Evergrande gave him an annual salary of 12 million RMB.

In 2019, Xiao Taotao played for Shenxin in Shanghai, China. He started in 5 of 10 games and scored 1 goal. In the 2020 season, there were only 6 appearances for Kunshan, of which 3 started with 0 goals; In 2021, he made 21 appearances for Kunshan, including 12 starts and scored 2 goals. These goal data show that Xiao Taotao’s strength is really not enough to enter the national football team.

However, Xiao Taotao scored a goal very quickly after returning to Peru, which surprised us a little. He himself said that he was very happy after returning to Peru and thanked his old club for not giving up on him. (Qianzi)

Technical password of generated image AI

In the past few years, artificial intelligence (AI) has made great progress, and AI’s new products include AI image generator. This is a tool that can convert input statements into images. There are many AI tools for text-to-image conversion, but the most prominent ones are DALL-E 2, Stable Diffusion and Midjourney.

DALL-E 2 is developed by OpenAI and the project of chatgpt is complementary. It generates images through a paragraph of text description. Its GPT-3 converter model trained with more than 10 billion parameters can interpret natural language input and generate corresponding images.

DALL-E 2 mainly consists of two parts-converting user input into a representation of an image (called Prior), and then converting this representation into an actual photo (called Decoder).

The text and images used in it are embedded in another network called CLIP (Contrast Language-Image Pre-training), which is also developed by OpenAI. CLIP is a neural network that returns the best title for the input image. What it does is the opposite of what DALL-E 2 does-it converts images into text, while DALL-E 2 converts text into images. The purpose of introducing CLIP is to learn the connection between visual and text representation of objects.

DALL-E 2′ s job is to train two models. The first one is Prior, which accepts text labels and creates CLIP image embedding. The second is Decoder, which accepts CLIP image embedding and generates images. After the model training is completed, the reasoning process is as follows:

  • The input text is converted into CLIP text embedding using neural network.

  • Use Principal Component Analysis to reduce the dimension of text embedding.

  • Create an image embedding using text embedding.

  • After entering the Decoder step, the diffusion model is used to embed the image into an image.

  • The image is enlarged from 64×64 to 256×256, and finally enlarged to 1024×1024 by using convolutional neural network.

Stable Diffusion is a text-to-image model, which uses CLIP ViT-L/14 text encoder and can adjust the model through text prompts. It separates the imaging process into a "diffusion" process at runtime-starting from the noisy situation, gradually improving the image until there is no noise at all, and gradually approaching the provided text description.

Stable Diffusion is based on Latent Diffusion Model(LDM), which is a top-notch text-to-image synthesis technology. Before understanding the working principle of LDM, let’s look at what is diffusion model and why we need LDM.

Diffusion Models, DM) is a generation model based on Transformer, which samples a piece of data (such as an image) and gradually increases the noise over time until the data cannot be recognized. This model tries to return the image to its original form, and in the process, it learns how to generate pictures or other data.

The problem of DM is that powerful DM often consumes a lot of GPU resources, and the cost of reasoning is quite high due to Sequential Evaluations. In order to train DM on limited computing resources without affecting its quality and flexibility, Stable Diffusion applies DM to powerful Pre-trained Autoencoders.

On this premise, the diffusion model is trained, which makes it possible to achieve an optimal balance between reducing complexity and preserving data details, and significantly improves the visual reality. The cross attention layer is introduced into the model structure, which makes the diffusion model a powerful and flexible generator and realizes the high-resolution image generation based on convolution.

Midjourney is also a tool driven by artificial intelligence, which can generate images according to the user’s prompts. MidJourney is good at adapting to the actual artistic style and creating images with any combination of effects that users want. It is good at environmental effects, especially fantasy and science fiction scenes, which look like the artistic effects of games.

DALL-E 2 uses millions of image data for training, and its output results are more mature, which is very suitable for enterprises to use. When there are more than two characters, the image generated by DALL-E 2 is much better than that generated by Midjourney or Stable Diffusion.

Midjourney is a tool famous for its artistic style. Midjourney uses its Discord robot to send and receive requests for AI servers, and almost everything happens on Discord. The resulting image rarely looks like a photo, it seems to be more like a painting.

Stable Diffusion is an open source model that everyone can use. It has a good understanding of contemporary art images and can produce works of art full of details. However, it needs to explain the complex prompt. Stable Diffusion is more suitable for generating complex and creative illustrations. However, there are some shortcomings in creating general images.

What is the difference between a steam room and a sauna?

I always can’t tell the difference between sweat steaming and sauna, I don’t think there is any difference between the two, so what is the difference between sweat steaming and sauna? Which is better, steam or sauna?
First, the principle is different
Sweat steaming mainly uses the energy field formed by the negative ions, far-infrared rays, and micro-currents released by tourmaline to act on the human body and stimulate the body to generate heat energy; while sauna uses high-temperature water vapor to act on the skin from the outside and conduct heat into the body. .

Second, the temperature is different
The steaming temperature is around 42-45 degrees Celsius, and the scientific steaming time is 40-60 minutes. People will not feel suffocated during the sweating process, and the breathing will be very smooth; the sauna temperature can reach 60-70 degrees Celsius, when the human body can only stay 5-10 minutes, if the time is too long, you will feel chest tightness and shortness of breath.

  1. Perspiration effect
    The sweat discharged by the steaming has no sweat smell, which will make the human skin smooth, which can have the benefits of beauty, body beauty, and disease conditioning. However, it should be noted that it is not suitable to shower within 6 hours after the steaming, as the shower will detract from the health care of the steaming. The sweat is sticky and has a smell of sweat, and it is necessary to take a bath after the sauna to remove the smell of sweat.
  2. Operation method
    Sweat steaming is through physical conditions such as far infrared rays, negative ions, expanding substances and trace elements to expand the pores of the human body in a high temperature manner, discharge toxic substances in the body, and achieve the effect of health care; while the sauna uses steam to make the deep skin heat effect under high temperature conditions. , and then achieve the effect of expelling toxins in the body through the pores that are enlarged under high temperature.