Blind box activity generation method and tool based on GAN model

Abstract

The invention belongs to the technical field of artificial intelligence and computer vision, and discloses a blind box activity generation method based on a GAN model. The generation method comprises the following specific steps: S1, selecting blind box classification and commodities; S2, querying GAN model information; S3, sending a request to a GAN model; S4, receiving a blind box content picture returned by the GAN model; the blind box activity content is generated by adopting the advanced GAN model, compared with a traditional manual manufacturing or simple random generation mode, the method has the remarkable advantages, the GAN model can accurately simulate the prize of the blind box activity, the content better meeting the user requirement is generated, more surprised and satisfactory experience is brought to the user, and in addition, the user experience is improved. According to the tool, the capability of automatically generating the blind box activity is realized, and the planning and manufacturing efficiency is greatly improved.

Description

Technical Field

[0001] The present invention belongs to the field of artificial intelligence and computer vision technology, and specifically provides a blind box activity generation method and tool based on a GAN model. Background Art

[0002] The blind box activity generation tool based on the GAN model is a tool that uses generative adversarial network (GAN) technology to automatically create and generate blind box activity content. The tool trains the GAN model to enable it to understand and simulate the characteristics of blind box prizes, thereby generating new prize images or content that are similar to real prizes but unique. These generated prizes can be customized according to the needs of blind box activities and combined with other activity elements (such as rules, prices, etc.) to form a complete blind box activity plan. In previous blind box activities, we have observed that merchants have a strong interest in blind box marketing tools, however, existing technologies have limited their widespread application. Specifically, merchants face the dilemma of a single style and cumbersome configuration process when configuring blind box content, which not only increases labor costs, but also leads to low efficiency from configuration to launch of activities. More importantly, the existing blind box content often lacks innovation and is difficult to fully meet consumers' psychological needs for freshness. Therefore, we urgently need to introduce new technologies to solve these problems, provide merchants with richer and more innovative blind box content, and at the same time improve the efficiency of activity configuration and launch, so as to promote the widespread application and development of blind box marketing tools. Summary of the invention

[0003] The purpose of the present invention is to provide a blind box activity generation method and tool based on the GAN model to solve the problems raised in the above background technology.

[0004] In order to achieve the above object, the present invention provides the following technical solution: a blind box activity generation method based on a GAN model, and the specific steps of the generation method are as follows:

[0005] S1: Select blind box category and product: configure personnel to log in to the platform, select blind box category, enter product ID and price to generate the corresponding GAN model blind box;

[0006] S2: Query GAN model information: The platform searches the database according to the classification ID to obtain GAN model information, including deployment address, port and calling method;

[0007] S3: Send a request to the GAN model: The platform constructs an HTTP request based on the S2 information, including the product image and the amount of new content, and sends it to the GAN model deployment address;

[0008] S4: receiving the blind box content picture returned by the GAN model: the GAN model generates the blind box content picture according to the request and returns it to the activity configuration platform;

[0009] S5: Request the product platform to create a product: Configure the platform to receive the GAN model blind box image, and ask the product platform to create a new product based on the image and other information;

[0010] S6: Receive the product ID list returned by the product platform: After the product platform creates the product, it returns the ID list to the configuration platform for associating the blind box with the product;

[0011] S7: Generate blind box activities and return activity id: The platform generates blind box activities based on product id and price, assigns id, and returns it to configuration personnel for management.

[0012] Preferably, the specific steps of selecting blind box categories and commodities in S1 are as follows:

[0013] Step 1: Log in to the blind box activity configuration platform

[0014] The configuration personnel first need to enter the URL of the blind box activity configuration platform in the browser and log in with their personal account and password. After successful login, they will enter the main interface of the blind box activity configuration platform;

[0015] Step 2: Select the blind box category and enter the product ID

[0016] On the main interface of the blind box activity configuration platform, the configuration personnel need to find and select the blind box category they want to generate. The category is pre-defined by the developer and the corresponding GAN model is trained. Each category has a unique category id. After selecting the category, the configuration personnel need to enter the product id to be imitated. The product id is the product identifier that already exists in the system. It is used as the product image input parameter when calling the GAN model interface to generate blind box content similar to the product.

[0017] Step 3: Set the blind box selling price

[0018] After selecting the blind box category and entering the product ID, the configurator needs to enter the selling price of the blind box. The price is the desired selling price of the blind box during the event, which will be used for price setting when subsequently generating blind box activities. The configurator needs to ensure that the entered price is reasonable and meets market standards to attract consumers to buy.

[0019] Preferably, querying the GAN model information in S2 refers to the stage of querying the GAN model information. The platform will search the database of the blind box platform for the GAN model information that matches the classification ID carefully selected by the configuration personnel, which is directly related to the accurate sending of subsequent requests. Through careful queries, the platform can successfully obtain the deployment address, port number and specific calling method of the GAN model. This information is like navigation coordinates, which provides accurate guidance for subsequent requests to the GAN model.

[0020] Preferably, sending a request to the GAN model in S3 means that in the blind box activity configuration, the platform will carefully construct an HTTP request based on the GAN model information obtained in the S2 stage. This request carries an important mission and includes the product images that need to be imitated carefully selected by the product ID, and key information about the number of novel content expected to be produced for each corresponding existing product.

[0021] Preferably, the blind box content pictures returned by the GAN model received in S4 means that when the GAN model receives a request from the blind box activity configuration platform, the model carefully analyzes the product pictures provided in the request, understands its style and characteristics, and based on the specified number of new content, cleverly generates a series of matching but unique blind box content pictures. Subsequently, the pictures full of surprises are carefully packaged by the GAN model and returned to the blind box activity configuration platform, adding endless fun and expectations to subsequent blind box activities.

[0022] Preferably, the specific steps of requesting the commodity platform to create a commodity in S5 are as follows:

[0023] Step 1: Receive the image and prepare parameters

[0024] After successfully receiving the blind box content images returned by the GAN model, the blind box activity configuration platform will immediately prepare to send a request to the product platform to create the product. The platform will use these images as key parameters and combine them with other necessary information, such as a well-designed product name and an attractive product description, to integrate them into the request;

[0025] Step 2: Send a request to create a product

[0026] When everything is ready, the blind box activity configuration platform will send a product creation request with all necessary parameters to the product platform. In this request, the blind box content image, with its unique visual charm, becomes the core element to attract the attention of the product platform;

[0027] Step 3: Create a new product on the product platform

[0028] After receiving the product creation request from the blind box activity configuration platform, the product platform will start processing immediately. First, it will carefully review all the information provided in the request, especially the blind box content pictures, to ensure that they meet the platform's creation standards.

[0029] Preferably, receiving the product ID list returned by the product platform in S6 means that when the product platform successfully creates a series of new products, it will quickly generate a list containing all new product IDs and return this list to the blind box activity configuration platform.

[0030] Preferably, the specific steps of generating a blind box activity and returning the activity ID in S7 are as follows:

[0031] Step 1: Generate a blind box activity

[0032] After successfully receiving the product ID list returned by the product platform, the blind box activity configuration platform will immediately start generating blind box activities based on the blind box selling price entered by the configuration personnel before;

[0033] Step 2: Assign activity id

[0034] After the blind box activity is generated, the platform will assign it a unique activity id. This id is like the identity card of the blind box activity, ensuring its uniqueness and identifiability on the platform. Through this id, the platform can easily track and manage various data of the blind box activity;

[0035] Step 3: Return the activity ID to the configuration personnel

[0036] The blind box activity configuration platform will return the automatically generated blind box activity ID to the configuration personnel. With this ID, the configuration personnel can log in to the platform at any time to view and manage the details of the blind box activity, including the activity status, number of participants and sales, so as to make timely adjustments and optimizations based on actual conditions.

[0037] Preferably, a blind box activity generation method based on the GAN model, the method generation tool is composed of a user configuration module, a model information query module, an HTTP request construction and sending module, a GAN model return image receiving and processing module, a product creation request module, a product ID list receiving module, and a blind box activity generation and return module.

[0038] The beneficial effects of the present invention are as follows:

[0039] The present invention uses an advanced GAN model to generate the content of blind box activities. Compared with traditional manual production or simple random generation methods, it has significant advantages. The GAN model can accurately simulate the prizes of blind box activities and generate content that better meets user needs, bringing users a more surprising and satisfactory experience. In addition, the tool realizes the ability to automatically generate blind box activities, which not only greatly improves the efficiency of planning and production, but also effectively saves labor costs, while avoiding the potential impact of human factors on the results of activities. More importantly, the tool is highly customizable. Configuration personnel can customize the content of blind box activities, including prizes, according to their own needs and brand image, thereby generating more market-oriented and unique blind box activities, providing merchants with more flexible and diverse marketing methods, helping them stand out in the fierce market competition. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the overall process of the present invention;

[0041] Figure 2 Generate a timing diagram for the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] like Figure 1 to Figure 2 As shown, an embodiment of the present invention provides a blind box activity generation method based on a GAN model, and the specific steps of the generation method are as follows:

[0044] S1: Select blind box category and product: configure personnel to log in to the platform, select blind box category, enter product ID and price to generate the corresponding GAN model blind box;

[0045] S2: Query GAN model information: The platform searches the database according to the classification ID to obtain GAN model information, including deployment address, port and calling method;

[0046] S3: Send a request to the GAN model: The platform constructs an HTTP request based on the S2 information, including the product image and the amount of new content, and sends it to the GAN model deployment address;

[0047] S4: receiving the blind box content picture returned by the GAN model: the GAN model generates the blind box content picture according to the request and returns it to the activity configuration platform;

[0048] S5: Request the product platform to create a product: Configure the platform to receive the GAN model blind box image, and ask the product platform to create a new product based on the image and other information;

[0049] S6: Receive the product ID list returned by the product platform: After the product platform creates the product, it returns the ID list to the configuration platform for associating the blind box with the product;

[0050] S7: Generate blind box activities and return activity id: The platform generates blind box activities based on product id and price, assigns id, and returns it to configuration personnel for management.

[0051] The specific steps for selecting blind box categories and products in S1 are as follows:

[0052] Step 1: Log in to the blind box activity configuration platform

[0053] The configuration personnel first need to enter the URL of the blind box activity configuration platform in the browser and log in with their personal account and password. After successful login, they will enter the main interface of the blind box activity configuration platform;

[0054] Step 2: Select the blind box category and enter the product ID

[0055] On the main interface of the blind box activity configuration platform, the configuration personnel need to find and select the blind box category they want to generate. The category is pre-defined by the developer and the corresponding GAN model is trained. Each category has a unique category id. After selecting the category, the configuration personnel need to enter the product id to be imitated. The product id is the product identifier that already exists in the system. It is used as the product image input parameter when calling the GAN model interface to generate blind box content similar to the product.

[0056] Step 3: Set the blind box selling price

[0057] After selecting the blind box category and entering the product ID, the configurator needs to enter the selling price of the blind box. The price is the desired selling price of the blind box during the event, which will be used for price setting when generating subsequent blind box activities. The configurator needs to ensure that the entered price is reasonable and meets market standards in order to attract consumers to buy.

[0058] The specific steps of selecting blind box categories and products ensure the personalization and accuracy of blind box activities. By logging into the blind box activity configuration platform, the configuration personnel can easily select the preset blind box category and enter the product ID they want to imitate. This step not only simplifies the operation process, but also ensures the similarity between the blind box content and the target product, enhancing the attractiveness of the activity. At the same time, setting a reasonable blind box selling price will help attract consumers to buy and increase the success rate of the activity. The entire process is standardized and efficient, laying a solid foundation for the smooth development of blind box activities and bringing consumers a more diversified and personalized shopping experience.

[0059] Among them, querying the GAN model information in S2 refers to the stage of querying the GAN model information. The platform will search the database of the blind box platform for the GAN model information that matches the classification ID carefully selected by the configuration personnel, which is directly related to the accurate sending of subsequent requests. Through careful queries, the platform can successfully obtain the deployment address, port number and specific calling method of the GAN model. This information is like navigation coordinates, which provides accurate guidance for subsequent requests to the GAN model. With these key information, the platform can ensure that the request can smoothly reach the GAN model and successfully call its capabilities, laying a solid foundation for the generation of blind box activities.

[0060] Querying GAN model information provides solid technical support for blind box activity configuration. Through accurate classification IDs, the platform can quickly locate matching GAN model information in the database, including deployment address, port number, and calling method, to ensure the accurate sending of subsequent requests. This step is like laying a precise navigation for technical implementation, greatly improving the efficiency and success rate of blind box activity generation, and bringing consumers a more personalized blind box experience.

[0061] Among them, sending a request to the GAN model in S3 means that in the blind box activity configuration, the platform will carefully construct an HTTP request based on the GAN model information obtained in the S2 stage. This request carries an important mission and contains the product images that need to be imitated carefully selected by the product ID, as well as key information such as the number of novel contents expected to be produced for each corresponding existing product. This information is like a customized recipe, which is designed to guide the GAN model to generate new content that meets expectations. Subsequently, the platform will use the information to accurately send the constructed request to the deployment address and port of the GAN model. This action marks the official start of the blind box content generation process, adding unlimited possibilities and surprises to subsequent blind box activities.

[0062] The process of sending requests to the GAN model brings significant advantages to the personalization and content innovation of blind box activities. Through carefully constructed HTTP requests, the platform accurately conveys key information such as product images and the expected amount of novel content to the GAN model. This process is like tailoring a unique creative formula for blind box activities. This not only ensures that the GAN model can generate new content that meets expectations, but also greatly improves the personalization and innovation of blind box activities, bringing more surprises and expectations to consumers, and further enhancing the attractiveness and market competitiveness of the activities.

[0063] Among them, the blind box content pictures returned by the GAN model in S4 refers to when the GAN model receives a request from the blind box activity configuration platform, the model carefully analyzes the product pictures provided in the request, understands its style and characteristics, and based on the specified number of new content, cleverly generates a series of matching but unique blind box content pictures. Subsequently, the pictures full of surprises are carefully packaged by the GAN model and returned to the blind box activity configuration platform, adding endless fun and expectations for subsequent blind box activities.

[0064] The blind box content pictures returned by the GAN model add infinite creativity and surprises to the blind box activities. The GAN model generates a series of matching and unique blind box content pictures by carefully analyzing the product pictures, which not only enriches the diversity of blind boxes, but also greatly enhances the fun and expectations of the activities. This step ensures the novelty and attractiveness of the blind box content, brings more fun and satisfaction to consumers, and further enhances the market appeal and user participation of blind box activities.

[0065] The specific steps of requesting the commodity platform to create a commodity in S5 are as follows:

[0066] Step 1: Receive the image and prepare parameters

[0067] After successfully receiving the blind box content images returned by the GAN model, the blind box activity configuration platform will immediately prepare to send a request to the product platform to create the product. The platform will use these images as key parameters and combine them with other necessary information, such as a well-designed product name and an attractive product description, to integrate them into the request;

[0068] Step 2: Send a request to create a product

[0069] When everything is ready, the blind box activity configuration platform will send a product creation request with all necessary parameters to the product platform. In this request, the blind box content image, with its unique visual charm, becomes the core element to attract the attention of the product platform;

[0070] Step 3: Create a new product on the product platform

[0071] After receiving the product creation request from the blind box activity configuration platform, the product platform will start processing immediately. First, it will carefully review all the information provided in the request, especially the blind box content pictures, to ensure that they meet the platform's creation standards. Once the review is passed, the product platform will quickly create a new product that matches the picture, providing strong guarantees for the smooth progress of the blind box activity.

[0072] According to the above content, after receiving the blind box content image generated by the GAN model on the blind box activity configuration platform, the necessary information can be quickly integrated and a creation request can be sent, ensuring the close connection between the product and the blind box activity. The strict review of the request information by the product platform ensures the quality and compliance of new products. This process not only accelerates the generation of new products, but also increases the attractiveness and success rate of blind box activities. Through efficient product creation, blind box activities can be carried out smoothly, bringing more surprises and fun to consumers, and further enhancing users' sense of participation and satisfaction.

[0073] The receiving of the product ID list returned by the product platform in S6 means that when the product platform successfully creates a series of new products, it will quickly generate a list containing all new product IDs and return this list to the blind box activity configuration platform. This product ID list plays a vital role in the subsequent blind box activity generation process. It is like a bridge, closely linking the blind box with specific products, ensuring the smooth progress of the blind box activity and the good experience of consumers.

[0074] Based on the above content, the newly created products and blind box activities are seamlessly connected. Through the product ID list, the blind box activity configuration platform can accurately associate the blind box with the corresponding product, thereby ensuring the smooth progress of the activity. This not only improves the execution efficiency of the blind box activity, but also ensures that consumers can enjoy the products that match the blind box description, greatly enhancing the user experience and satisfaction.

[0075] The specific steps of generating a blind box activity and returning the activity id in S7 are as follows:

[0076] Step 1: Generate a blind box activity

[0077] After successfully receiving the product ID list returned by the product platform, the blind box activity configuration platform will immediately start generating blind box activities based on the blind box selling price entered by the previous configuration personnel; during this process, the platform will carefully integrate all relevant information to ensure the integrity and accuracy of the blind box activity.

[0078] Step 2: Assign activity id

[0079] After the blind box activity is generated, the platform will assign it a unique activity id. This id is like the identity card of the blind box activity, ensuring its uniqueness and identifiability on the platform. Through this id, the platform can easily track and manage various data of the blind box activity.

[0080] Step 3: Return the activity ID to the configuration personnel

[0081] Finally, the blind box activity configuration platform will return the automatically generated blind box activity ID to the configuration personnel. The configuration personnel can use this ID to log in to the platform at any time to view and manage the details of the blind box activity, including activity status, number of participants, and sales, so as to make timely adjustments and optimizations based on actual conditions.

[0082] According to the above content, the rapid generation of blind box activities is ensured. The configuration personnel only need to enter the necessary product information and prices, and the platform can automatically integrate and generate activities, which greatly improves work efficiency. Secondly, by assigning a unique activity ID, the platform can easily track and manage the data of each blind box activity, ensuring the accuracy and traceability of the data. Finally, the activity ID is returned to the configuration personnel, so that they can view and manage the details of the activity at any time, make adjustments and optimizations in time, and further improve the success rate of blind box activities and user satisfaction. This process not only simplifies the operation steps, but also improves the overall quality and effect of blind box activities.

[0083] Among them, the blind box activity generation method based on the GAN model, the method generation tool is composed of a user configuration module, a model information query module, an HTTP request construction and sending module, a GAN model return image receiving and processing module, a product creation request module, a product ID list receiving module, and a blind box activity generation and return module.

[0084] The blind box activity generation method based on the GAN model, whose generation tool brings significant benefits through the collaborative work of multiple modules. This method can efficiently generate blind box activities according to user needs, simplify the operation process through the user configuration module, ensure the accuracy of model information through the model information query module, realize fast request through the HTTP request construction and sending module, ensure the quality of pictures returned by the GAN model through the receiving and processing module, accelerate the generation of goods, ensure data synchronization through the product ID list receiving module, and provide a unique activity ID for easy management through the blind box activity generation and return module. Overall, this method improves the efficiency and flexibility of blind box activity generation and reduces the difficulty of operation.

[0085] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0086] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A blind box activity generation method based on a GAN model, characterized in that: The specific steps of this method are as follows: S1: Select blind box category and product: configure personnel to log in to the platform, select blind box category, enter product ID and price to generate the corresponding GAN model blind box; S2: Query GAN model information: The platform searches the database according to the classification ID to obtain GAN model information, including deployment address, port and calling method; S3: Send a request to the GAN model: The platform constructs an HTTP request based on the S2 information, including the product image and the amount of new content, and sends it to the GAN model deployment address; S4: receiving the blind box content picture returned by the GAN model: the GAN model generates the blind box content picture according to the request and returns it to the activity configuration platform; S5: Request the product platform to create a product: Configure the platform to receive the GAN model blind box image, and ask the product platform to create a new product based on the image and other information; S6: Receive the product ID list returned by the product platform: After the product platform creates the product, it returns the ID list to the configuration platform for associating the blind box with the product; S7: Generate blind box activities and return activity id: The platform generates blind box activities based on product id and price, assigns id, and returns it to configuration personnel for management.

2. According to claim 1, a blind box activity generation method based on a GAN model is characterized in that: The specific steps for selecting blind box categories and products in S1 are as follows: Step 1: Log in to the blind box activity configuration platform The configuration personnel first need to enter the URL of the blind box activity configuration platform in the browser and log in with their personal account and password. After successful login, they will enter the main interface of the blind box activity configuration platform; Step 2: Select the blind box category and enter the product ID On the main interface of the blind box activity configuration platform, the configuration personnel need to find and select the blind box category they want to generate. The category is pre-defined by the developer and the corresponding GAN model is trained. Each category has a unique category id. After selecting the category, the configuration personnel need to enter the product id to be imitated. The product id is the product identifier that already exists in the system. It is used as the product image input parameter when calling the GAN model interface to generate blind box content similar to the product. Step 3: Set the blind box selling price After selecting the blind box category and entering the product ID, the configurator needs to enter the selling price of the blind box. The price is the desired selling price of the blind box during the event, which will be used for price setting when subsequently generating blind box activities. The configurator needs to ensure that the entered price is reasonable and meets market standards to attract consumers to buy.

3. According to claim 1, a blind box activity generation method based on a GAN model is characterized in that: Querying the GAN model information in S2 refers to the process of querying the GAN model information. The platform will search the database of the blind box platform for the GAN model information that matches the classification ID carefully selected by the configuration personnel, which is directly related to the accurate sending of subsequent requests. Through careful queries, the platform can successfully obtain the deployment address, port number and specific calling method of the GAN model. This information is like navigation coordinates, which provides accurate guidance for subsequent requests to the GAN model.

4. According to claim 1, a blind box activity generation method based on a GAN model is characterized in that: Sending a request to the GAN model in S3 means that in the blind box activity configuration, the platform will carefully construct an HTTP request based on the GAN model information obtained in the S2 stage. This request carries an important mission and includes the product images that need to be imitated carefully selected by the product ID, and key information about the number of novel content expected to be produced for each corresponding existing product.

5. According to claim 1, a blind box activity generation method based on a GAN model is characterized in that: The blind box content pictures received by the GAN model in S4 refer to that when the GAN model receives a request from the blind box activity configuration platform, the model carefully analyzes the product pictures provided in the request, understands its style and characteristics, and based on the specified number of new content, cleverly generates a series of matching but unique blind box content pictures. Subsequently, the pictures full of surprises are carefully packaged by the GAN model and returned to the blind box activity configuration platform, adding endless fun and expectations to subsequent blind box activities.

6. According to claim 1, a blind box activity generation method based on a GAN model is characterized in that: The specific steps of requesting the commodity platform to create a commodity in S5 are as follows: Step 1: Receive the image and prepare parameters After successfully receiving the blind box content images returned by the GAN model, the blind box activity configuration platform will immediately prepare to send a request to the product platform to create the product. The platform will use these images as key parameters and combine them with other necessary information, such as a well-designed product name and an attractive product description, to integrate them into the request; Step 2: Send a request to create a product When everything is ready, the blind box activity configuration platform will send a product creation request with all necessary parameters to the product platform. In this request, the blind box content image, with its unique visual charm, becomes the core element to attract the attention of the product platform; Step 3: Create a new product on the product platform After receiving the product creation request from the blind box activity configuration platform, the product platform will start processing immediately. First, it will carefully review all the information provided in the request, especially the blind box content pictures, to ensure that they meet the platform's creation standards.

7. According to claim 1, a blind box activity generation method based on a GAN model is characterized in that: Receiving the product ID list returned by the product platform in S6 means that when the product platform successfully creates a series of new products, it will quickly generate a list containing all new product IDs and return this list to the blind box activity configuration platform.

8. According to claim 1, a blind box activity generation method based on a GAN model is characterized in that: The specific steps of generating a blind box activity and returning the activity id in S7 are as follows: Step 1: Generate a blind box activity After successfully receiving the product ID list returned by the product platform, the blind box activity configuration platform will immediately start generating blind box activities based on the blind box selling price entered by the configuration personnel before; Step 2: Assign activity id After the blind box activity is generated, the platform will assign it a unique activity id. This id is like the identity card of the blind box activity, ensuring its uniqueness and identifiability on the platform. Through this id, the platform can easily track and manage various data of the blind box activity; Step 3: Return the activity ID to the configuration personnel The blind box activity configuration platform will return the automatically generated blind box activity ID to the configuration personnel. With this ID, the configuration personnel can log in to the platform at any time to view and manage the details of the blind box activity, including the activity status, number of participants and sales, so as to make timely adjustments and optimizations based on actual conditions.

9. A blind box activity generation tool based on a GAN model according to claim 1, characterized in that: A blind box activity generation method based on the GAN model. The generation tool of this method consists of a user configuration module, a model information query module, an HTTP request construction and sending module, a GAN model return image receiving and processing module, a product creation request module, a product ID list receiving module, and a blind box activity generation and return module.

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