AIGC This wind, blowing to the fashion industry, will bring what productivity innovation?

Five days after launch, the number of users exceeded one million, and exceeded 100 million in two months ...... This is the online performance of ChatGPT, the "top stream" in the technology circle, which triggered the AIGC craze that has lasted until now. The conversation of nothing, a few seconds of output of beautiful graphics, commonly known as "tired AI workers" is making the real workers feel anxious.

In fact, AI is essentially a technological tool, and behind the challenges that abound, there are even greater opportunities. AI is redefining the way we work, and companies are relying on creators who are embracing change and building a new work model for a new era.

In an industry that is frantically chasing efficiency and productivity, fashion is bound to be at the forefront. So, how will AIGC be used by the fashion industry? And what aspects will it bring to empower designers? How can apparel companies, which have been baptized by digitalization, seize the opportunities of AIGC? Maybe here are some answers for you:

Fashion industry is a perfect industry for AIGC implementation

First, let's look at the first principle of the fashion industry: essentially, the fashion industry is an industry that relies on a large number of "new arrivals" to drive consumption. Here, women who always think there is one less piece of clothing in their closet may feel the same. From the perspective of consumer portrait, the increasingly personalized dressing needs also determine the natural non-standard product attributes of clothing products. In order to meet the diverse consumer needs of apparel consumers, apparel brands must actively pursue a multi-SKU strategy. Take one of the world's leading Instant fashion e-commerce platforms as an example, the daily demand for new products is 5000-6000 SKUs, which shows that "continuous creation" is a never-ending fashion pursuit.

At the same time, the fashion industry has another characteristic: it is an industry that delivers ideas with "proximity". In several movies about fashion, whether it is "Dior and I" or "Coco Chanel", we see the artistic picture of the birth of a dress: a master designer finds inspiration, sketches based on the inspiration, and then on this basis the whole production team and the designer work together through the combination of fabrics, accessories and techniques to finally present a high-fashion dress. Here, the most important thing is the "inspiration" of the master, and the drawing is also a "sketch". The peculiarity of the fashion industry lies in this: extremely creativity-driven, the creativity of these often has a certain tolerance for precision, which is just in line with the characteristics of the current AIGC application.

The fashion industry has a long history and has developed a well-developed industry chain with a lot of structured data from raw materials to design and production to sales of finished products. Using the Pantone color cards, which are commonly used in the fashion industry, for example, there are 2310 colors in the new TPG color card for apparel textiles, not including the metal color cards and color bridge cards. These, seemingly subjective perception of clothing colors, in fact have a clear 2310 standard color code behind. It is this structured data that lays the foundation for the application of AIGC in the apparel industry.

With the pursuit of extreme efficiency and the demand for massive creativity, the fashion industry is becoming the best testing ground for AIGC implementation.

What kind of enterprises can make the fashion industry AIGC landing?

From the realization level, the head enterprises serving fashion digitization, with professional scene understanding, good data base and continuous model development ability, have the ability to make the fashion industry AIGC landing.

From the official information, Style3D is the world's leading 3D digitization solution provider focusing on the apparel industry. It is a company that serves the whole chain of the apparel industry, including fabric makers, accessory makers, design makers, and brand owners, and has accumulated a large amount of structured data.

AIGC's emergence ability relies on a large amount of structured data support. Although the current AI models on the market can achieve multi-scene and multi-domain application effects, they are not the optimal solution for the vertical fashion industry. The reason for this is the data expertise on one hand and the convergence domain of the model on the other.

When we contacted Style3D model, we saw that they defined their model as "Style3D Industry Model" and claimed to have a complete Prompt applicable to the apparel industry, as well as industry-based models. The following is a simple test based on the new chart on Ecommerce:

Enter a complex and specific description of a particular garment "virago sleeve dress, lotus root shaped sleeves, intricate fabric details, fashion product catalog image, studio lighting, front view, square image". In short, we want to generate a lotus root sleeve dress. When the Prompt is consistent and the model converges differently, a slight deviation will generate different ones.

Here are the two result images, the left one is a 3D coupled sleeve dress with model effect generated by Style3D industrial model, and the right one is a coupled sleeve model image generated by one of the most popular AI image generation tools:

As you can see, the dresses generated by Style3D models are more in line with the coupled sleeves as described by the apparel industry. With a large amount of structured data in line with garment design, a rich garment model library, and a self-developed powerful and sophisticated simulation engine, Style3D is able to generate more accurate and fitting garment works. It can be said that the data and models of vertical industries are the foundation of AIGC application, and the prerequisite to serve customers in vertical fields well.

How to make AIGC assist in apparel design?

Under the frenzy caused by AIGC, what we actually expect more is, as Style3D said, to create an industrial-grade model to serve the industry.

The manufacturing process of a garment is often a process of subjective ideas constantly going to be verified by data, and needs to go through rapid changes and repeated designs. In other words, the width and depth of SKUs need to be matched appropriately. Therefore, making the whole industry chain from trend-based, to sample clothes, to really go to market, companies are facing the challenge of efficiency and cost all the time. Artificial intelligence can play a greater value in many scenarios in the apparel industry.

We have selected one of the most widely used new scenarios in e-commerce based on Style3D industry model to try, click on the video to see the full application.

The first is that the Style3D AI application can generate various component parts, i.e. fabric patterns, accessory designs, and patterns. As we can see, a prompt that conforms to the industry's terminology, together with a model based on industry data, can generate various structured elements that are completely accurate and applicable to the industry.

Once the "parts" that make up a garment are fully available and freely interchangeable, Style3D AI can then quickly generate a 3D digital garment by using the silhouette itself and modifying the style as needed. The "body incarnation" generated by the AI will allow the designer to define the body type, age, hair style and skin tone of a digital mannequin on the platform to produce a very realistic digital model.

We can imagine that if there are more scenarios on the ground, it will be a huge empowerment for the whole apparel industry:

First of all, it gives each consumer a richer choice of products. AI makes more choices of the components of products, and then there are more combinations of products themselves. Secondly, it is a great support for creative people, AI can assist designers to expand the boundaries of creative sources, focus more on the output of creativity itself, and be more inspired to complete the design of a piece of clothing.

In terms of more distant social effects, AIGC will infinitely draw closer to the needs of consumers and the ability of manufacturing. AIGC will enable the creators to better understand market trends and meet market demand.

After talking with Style3D, we believe that in the fashion industry, AI will be able to take on more repetitive tasks and better serve designers and pattern makers and other creative people in the future.

We are also looking forward to seeing more big models that can be implemented to serve the industry, so that AIGC can truly drive productivity development.

AIGC This wind, blowing to the fashion industry, will bring what productivity innovation?

Five days after launch, the number of users exceeded one million, and exceeded 100 million in two months ...... This is the online performance of ChatGPT, the "top stream" in the technology circle, which triggered the AIGC craze that has lasted until now. The conversation of nothing, a few seconds of output of beautiful graphics, commonly known as "tired AI workers" is making the real workers feel anxious.

In fact, AI is essentially a technological tool, and behind the challenges that abound, there are even greater opportunities. AI is redefining the way we work, and companies are relying on creators who are embracing change and building a new work model for a new era.

In an industry that is frantically chasing efficiency and productivity, fashion is bound to be at the forefront. So, how will AIGC be used by the fashion industry? And what aspects will it bring to empower designers? How can apparel companies, which have been baptized by digitalization, seize the opportunities of AIGC? Maybe here are some answers for you:

Fashion industry is a perfect industry for AIGC implementation

First, let's look at the first principle of the fashion industry: essentially, the fashion industry is an industry that relies on a large number of "new arrivals" to drive consumption. Here, women who always think there is one less piece of clothing in their closet may feel the same. From the perspective of consumer portrait, the increasingly personalized dressing needs also determine the natural non-standard product attributes of clothing products. In order to meet the diverse consumer needs of apparel consumers, apparel brands must actively pursue a multi-SKU strategy. Take one of the world's leading Instant fashion e-commerce platforms as an example, the daily demand for new products is 5000-6000 SKUs, which shows that "continuous creation" is a never-ending fashion pursuit.

At the same time, the fashion industry has another characteristic: it is an industry that delivers ideas with "proximity". In several movies about fashion, whether it is "Dior and I" or "Coco Chanel", we see the artistic picture of the birth of a dress: a master designer finds inspiration, sketches based on the inspiration, and then on this basis the whole production team and the designer work together through the combination of fabrics, accessories and techniques to finally present a high-fashion dress. Here, the most important thing is the "inspiration" of the master, and the drawing is also a "sketch". The peculiarity of the fashion industry lies in this: extremely creativity-driven, the creativity of these often has a certain tolerance for precision, which is just in line with the characteristics of the current AIGC application.

The fashion industry has a long history and has developed a well-developed industry chain with a lot of structured data from raw materials to design and production to sales of finished products. Using the Pantone color cards, which are commonly used in the fashion industry, for example, there are 2310 colors in the new TPG color card for apparel textiles, not including the metal color cards and color bridge cards. These, seemingly subjective perception of clothing colors, in fact have a clear 2310 standard color code behind. It is this structured data that lays the foundation for the application of AIGC in the apparel industry.

With the pursuit of extreme efficiency and the demand for massive creativity, the fashion industry is becoming the best testing ground for AIGC implementation.

What kind of enterprises can make the fashion industry AIGC landing?

From the realization level, the head enterprises serving fashion digitization, with professional scene understanding, good data base and continuous model development ability, have the ability to make the fashion industry AIGC landing.

From the official information, Style3D is the world's leading 3D digitization solution provider focusing on the apparel industry. It is a company that serves the whole chain of the apparel industry, including fabric makers, accessory makers, design makers, and brand owners, and has accumulated a large amount of structured data.

AIGC's emergence ability relies on a large amount of structured data support. Although the current AI models on the market can achieve multi-scene and multi-domain application effects, they are not the optimal solution for the vertical fashion industry. The reason for this is the data expertise on one hand and the convergence domain of the model on the other.

When we contacted Style3D model, we saw that they defined their model as "Style3D Industry Model" and claimed to have a complete Prompt applicable to the apparel industry, as well as industry-based models. The following is a simple test based on the new chart on Ecommerce:

Enter a complex and specific description of a particular garment "virago sleeve dress, lotus root shaped sleeves, intricate fabric details, fashion product catalog image, studio lighting, front view, square image". In short, we want to generate a lotus root sleeve dress. When the Prompt is consistent and the model converges differently, a slight deviation will generate different ones.

Here are the two result images, the left one is a 3D coupled sleeve dress with model effect generated by Style3D industrial model, and the right one is a coupled sleeve model image generated by one of the most popular AI image generation tools:

As you can see, the dresses generated by Style3D models are more in line with the coupled sleeves as described by the apparel industry. With a large amount of structured data in line with garment design, a rich garment model library, and a self-developed powerful and sophisticated simulation engine, Style3D is able to generate more accurate and fitting garment works. It can be said that the data and models of vertical industries are the foundation of AIGC application, and the prerequisite to serve customers in vertical fields well.

How to make AIGC assist in apparel design?

Under the frenzy caused by AIGC, what we actually expect more is, as Style3D said, to create an industrial-grade model to serve the industry.

The manufacturing process of a garment is often a process of subjective ideas constantly going to be verified by data, and needs to go through rapid changes and repeated designs. In other words, the width and depth of SKUs need to be matched appropriately. Therefore, making the whole industry chain from trend-based, to sample clothes, to really go to market, companies are facing the challenge of efficiency and cost all the time. Artificial intelligence can play a greater value in many scenarios in the apparel industry.

We have selected one of the most widely used new scenarios in e-commerce based on Style3D industry model to try, click on the video to see the full application.

The first is that the Style3D AI application can generate various component parts, i.e. fabric patterns, accessory designs, and patterns. As we can see, a prompt that conforms to the industry's terminology, together with a model based on industry data, can generate various structured elements that are completely accurate and applicable to the industry.

Once the "parts" that make up a garment are fully available and freely interchangeable, Style3D AI can then quickly generate a 3D digital garment by using the silhouette itself and modifying the style as needed. The "body incarnation" generated by the AI will allow the designer to define the body type, age, hair style and skin tone of a digital mannequin on the platform to produce a very realistic digital model.

We can imagine that if there are more scenarios on the ground, it will be a huge empowerment for the whole apparel industry:

First of all, it gives each consumer a richer choice of products. AI makes more choices of the components of products, and then there are more combinations of products themselves. Secondly, it is a great support for creative people, AI can assist designers to expand the boundaries of creative sources, focus more on the output of creativity itself, and be more inspired to complete the design of a piece of clothing.

In terms of more distant social effects, AIGC will infinitely draw closer to the needs of consumers and the ability of manufacturing. AIGC will enable the creators to better understand market trends and meet market demand.

After talking with Style3D, we believe that in the fashion industry, AI will be able to take on more repetitive tasks and better serve designers and pattern makers and other creative people in the future.

We are also looking forward to seeing more big models that can be implemented to serve the industry, so that AIGC can truly drive productivity development.