Tushengsheng
Its core purpose is to serve e-commerce; it utilizes AI technology to create and optimize product images, enabling users to produce high-quality visual materials for e-commerce at low cost and with high efficiency.
Tags:AI product image generationWhat is Tushengsheng?
Tushengsheng is an e-commerce AI tool for photo shooting and image design, developed by Nanjing Yiyan Wanxiang Network Technology Co., Ltd.
It focuses on the main product image, sample images, and advertising materials, offering capabilities for changing the background of products, replacing models, generating new images, and performing batch image editing.
Main functions
- Generate scene images from product background images with a white background.
- Replace the product using the reference scene image.
- Generate a similar style based on the reference background.
- Replace AI models with photos of real people trying on the clothing.
- Batch background replacement for multiple images of the same model.
- Text descriptions generate creative images.
- Use the reference image to create a similar image.
- Modify images using text commands.
- Batch image masking and background replacement.
- Adjust image sizes in bulk.
- Intelligently expands the image boundaries.
- Crop common aspect ratios for multiple platforms.
Generation of product images
The product image feature allows ordinary photos or images with a white background to be placed in new commercial settings, thereby reducing the need for repeated setup and shooting.
| Pattern | Enter material | Generate target |
|---|---|---|
| Intelligent scenarios | Original product image or image on a white background | Match and generate product backgrounds |
| Swap products | Product images and reference scene images | Keep the scene and replace the main element. |
| Reference background | Product images and background reference images | Generate new backgrounds in a similar style |
| Instructions for image editing | There are existing requirements for product images and text. | Adjust the content of the specified screen. |
Prepare the original images of the products
The quality of the input image has a direct impact on the representation of edges, textures, and lighting; therefore, it is important to minimize obstructions and reflections during shooting.
- Use original images that are clear and have accurate focus.
- Preserve the complete outline and details of the product.
- Try to choose a clean, solid-color background.
- Prevent the product from being obscured by hands or objects.
- Preserve the true colors and material references.
- The same batch of products should be photographed from the same angle.
- Prepare multiple references for jewelry and transparent items.
Tutorial on changing the background of products
- Go to the product image feature and create a new task.
- Upload a clear original image of the product or an image with a white background.
- Check the edges of the entities recognized by the system.
- Select a recommended scenario or upload a background reference.
- Describe the requirements regarding the environment, lighting, and composition.
- Choose the aspect ratio that is suitable for the platform.
- Multiple candidate results are generated for comparison.
- Check the color, text, and structure of the product.
- Regenerate after adjusting the prompt.
- Complete the business compliance check before downloading.
Refer to the diagram to change products.
Using reference images to swap products allows for the reuse of existing scene compositions, but it is necessary to ensure that the reference materials have legitimate permission for use.
- Upload the reference diagram of the scenario with usage rights.
- Upload the original image of the product that needs to be replaced.
- Mark or confirm the location of items in the original scene.
- Describe the orientation, size, and placement of the products.
- After generation, check the perspective and contact shadows.
- Enlarge to check the labels and packaging text.
- Retain the modification records and the original materials.
Replacement with AI models
The model image feature allows the person in a real-life try-on photo to be replaced with an AI model, while trying to preserve the details of the clothing and accessories.
| Enter | Suitable scenarios | Conduct a focused inspection. |
|---|---|---|
| Single try-on image | Quickly generate model displays | Clothing fit and body shape |
| Multiple angle images of the model | Uniform background style for batches | Consistency between characters and costumes |
| Images of accessories being worn | Display of jewelry, bags, and glasses | Size and wearing position |
| Refer to the model’s style. | Visual adaptation for different markets | The right to a portrait and stereotypes |
Tutorial for using AI model images
- Select the model image or the real-person replacement feature.
- Upload clear photos of actual people trying on the items.
- For multi-image tasks, the same person and clothing should be used.
- Select the target model and background style.
- Indicate the age group, posture, and purpose of the image.
- After generation, check the hands, face, and limbs.
- Verify the fabric texture, patterns, and cut.
- Check the size of the accessories and their actual proportions.
- Uniform the tone and lighting of images in the same series.
- Label or manage AI-generated content before publishing it.
AI image generation and imitation-based image creation
Text-to-image generates creative images based on descriptions, while imitation image generation extracts visual elements from reference images to foster creative variations.
- Specify the product type and its main selling points.
- Describe the scene, lighting, and camera angle.
- Specify the scale for bar, line, or histogram charts.
- Avoid requesting copies of specific protected works.
- Authorization is also required when reference images are used only for stylistic purposes.
- Text generated can be distorted, so it needs to be proofread later.
- The brand logo should be created using accurate original materials.
Instructions for image editing
The command for image editing allows modifying an image using natural language; it is suitable for changing backgrounds, adjusting elements, and quickly creating different versions of an image.
- Upload the high-resolution original image that is to be modified.
- Describe only one major change at a time.
- Identify which product details must be retained.
- Specify the elements that need to be added, deleted, or replaced.
- Compare the consistency of the main elements before and after the image modification.
- Complex tasks are broken down into multiple rounds of minor modifications.
- The final result is verified once again against the actual product.
Batch image masking and background removal
Batch image extraction can automatically identify the main elements in an image, and process multiple product images into materials with a transparent or white background.
- For images in the same batch, try to use similar shooting conditions.
- Check the hair, as well as the transparent and reflective edges.
- White items should be avoided if they are to not blend in with the background.
- Keep the transparent background file for subsequent design.
- The background image for the platform must comply with the size and spacing requirements.
- After the batch processing is complete, sample check each type of product.
Intelligent image expansion
Image expansion adds content outward from the original image, making it suitable for converting square images into banners, vertical posters, or formats appropriate for social media.
- Select the original image with complete edge information.
- Set the target size or frame ratio.
- Decide to expand upward, downward, left, or right.
- Describe the elements and lighting that should continue in the background.
- Check for repeated textures and structural breaks.
- Verify that there are no erroneous text or markings in the extension area.
- Export according to the requirements of the target platform.
Dimension trimming
Dimension adjustment is used to fit different e-commerce and advertising platforms, but it is not possible to simply scale the image while ignoring the proportion of the product itself.
| Uses | Common directions | Key points of handling |
|---|---|---|
| Product main image | square | The main structure is intact and the spacing is appropriate. |
| Details page | Vertical format | The order in which the information is presented is clear. |
| Advertising banners | Horizontal format | Reserved areas for text and buttons |
| Short video cover | Vertical screen | The key content is located in the secure area. |
| Social media images | According to the platform ratio | Avoid removing products and labels. |
Complete tutorial for using TuShengSheng
- Register and access the Tushengsheng workspace.
- Select a product image or a model image based on the task.
- Upload high-definition materials with usage rights.
- Choose to change the background, the product, or the model.
- Enter concise and clear generation requirements.
- Set the screen aspect ratio and usage scenario.
- Generate multiple candidate versions.
- Check the product details and character structure.
- Use commands to modify the image and correct local issues.
- Finish with image masking, enlargement, or cropping.
- Export in corresponding sizes via different channels.
- Check against real products and advertising rules.
- Save the original image, the results, and the authorization records.
Prices and payment methods
The App Store indicates that the app can be downloaded for free, while the official website’s public pages do not yet show the costs associated with premium memberships, points, or corporate packages.
| Project | Public price | Explanation |
|---|---|---|
| iPhone app download | Free | Downloading for free does not mean that an unlimited amount of content can be obtained for free. |
| Web registration experience | Based on the workbench. | Check the available credit for new users |
| Image generation and processing | Not yet made public | It may be charged based on the number of times, points, or benefits. |
| Batch processing | Not yet made public | Confirm the single transaction limit and failed returns |
| Corporate and team services | Contact the authorities to confirm. | Ask about accounts, concurrency, and commercial benefits. |
Before using it, you should check the current price, validity period, auto-renewal settings, fees in case of failure, and refund rules on the purchase page after logging in.
It is necessary to confirm before making a purchase.
- What functions are included in the free tier?
- How much quota is consumed per use for different functions.
- Whether to refund points in case of generation failure.
- Maximum number of images for batch tasks.
- The duration for which the resulting image is saved.
- Is high-definition download without watermarks supported?
- Does the membership include a license for commercial use?
- How are auto-renewals and refunds handled?
Platform support
| Platform | Support status | Explanation |
|---|---|---|
| Web page version | Support | Suitable for batch image creation on computers |
| iPhone | Support | The official app is available for free download. |
| iPad | The compatibility has not been determined yet. | Follow the compatibility information provided by the app store. |
| Mac with Apple chip | Runnable but unverified | The app store indicates that it has not been verified for macOS. |
| Android | Not confirmed yet | No official app entry was found. |
Verification of product authenticity
AI-generated results may alter color, texture, structure, and size; therefore, it is necessary to compare each aspect with the actual product before it is released for sale.
| Check items | Common mistakes | Handling method |
|---|---|---|
| Color | Excessive color difference or saturation. | Reference standard physical image |
| Material | Incorrect texture for metal, glass, or fabric. | Refer to the diagram for additional details. |
| Structure | Increase or decrease in components or deformation of interfaces | Regenerate or manually repair |
| Text | The labels and packaging text are displayed in garbled characters. | Cover with real materials |
| Ratio | Distortion in the sizes of products and characters | Adjust according to the physical parameters |
| Wearing effect | The garment’s cut has been incorrectly altered. | It must not be used as a false promise. |
Commercial use and copyright
Whether AI-generated images can be used commercially depends on the rights to the underlying materials, the platform’s terms, and the rules regarding the generated content and the channels through which it is published.
- Only upload your own or authorized images.
- It is not allowed to use the portraits of other models without permission.
- Avoid imitating the works of specific living artists.
- Do not create or retain counterfeit trademarks.
- The effects of advertising must not mislead regarding the actual properties of the product.
- If necessary, indicate that the image was generated by AI.
- Save the original materials and authorization documents.
- Intellectual property reviews are conducted for high-value projects.
Privacy and data security
Product images, model photos, and brand materials can be considered commercially sensitive; it is necessary to check the platform’s rules regarding privacy and data storage before uploading them.
- Remove the customer’s personal information from the image.
- Confirm the confidentiality requirements before releasing new products.
- Do not upload facial images of people without authorization.
- Control member permissions when using a team account.
- Download and back up the completed work in a timely manner.
- Remove unnecessary materials after the project is completed.
- Enterprises should determine the scope of use for training purposes when making purchases.
API and open-source status
To date, no public Graph API, SDK, developer console, or verifiable official GitHub repository has been found.
The presence of such cases in third-party open-source projects does not mean that the Tushengsheng platform or its commercial models have their source code made available publicly.
| Project | Public information | Explanation |
|---|---|---|
| Tushengsheng Platform | Not open source | Commercial online services |
| Public API | Not yet made public | No key requests or interface documentation were found. |
| Official SDK | Not yet made public | No installation instructions were found. |
| Official GitHub | Not confirmed yet | No verifiable repository found. |
| Third-party technology cases | It can be found. | It does not mean that the product is open source. |
Which users are it suitable for
- Businesses that need to create product main images quickly.
- Staff responsible for testing products and creating materials for advertising campaigns.
- E-commerce graphic designers who handle batch processing of product images.
- Small and medium-sized brands that lack budget for offline trade shows.
- Cross-border sellers who need overseas model visuals.
- Creators who produce content for social media products.
Product advantages
- Its functions are designed around the e-commerce graphic creation process.
- Covers product, background, and model replacement.
- Batch image masking and size adjustment are supported.
- It offers text-to-image generation as well as reference image splitting.
- It can be used on both the web and iPhone.
- Reduce redundant scene construction and basic photo editing tasks.
Usage restrictions
- AI may change the true details of products.
- Complex transparent and reflective edges can still cause errors.
- The model’s limbs and the structure of the clothing need to be inspected manually.
- The official website does not list any fixed-priced subscription plans.
- Public APIs and open-source code have not been confirmed yet.
- Images generated do not automatically acquire full copyright.
- Commercial releases must comply with advertising rules.
Frequently Asked Questions
What can Tushengsheng mainly do?
It supports changing the background of products, replacing products with reference scenes, using AI models, generating images from text, modifying images based on instructions, performing batch image extraction, enlarging images, and adjusting their dimensions.
Can Tushengsheng be used for free?
The iPhone app can be downloaded for free, and you can also sign up to try it out via the web version; the specific amount of free content that can be generated and the functions available depend on the current platform.
How much does Tu Shengsheng cost?
The public pages on the official website do not currently display the prices for regular members or points; it is necessary to check the current package options and pricing rules on the purchase page after logging in before using the service.
Can Tusheng generate product images in bulk?
It supports batch image selection for multiple photos, changing the background to a white color, adjusting dimensions, as well as batch processing of backgrounds for photos showing the same model in different poses.
Can Tu Sheng keep the product completely unchanged?
No guarantee can be provided; AI may change the color, texture, text on the packaging, or its structure. It is necessary to compare each element with the actual product and its original images before release.
Can the images generated by TuSheng be used for commercial purposes?
It is necessary to meet both the licensing requirements for the materials and the platform’s terms, as well as the rules of the publishing channels; in cases involving portraits, trademarks, or referenced works, the relevant rights must be confirmed separately.
Does TuShengSheng provide APIs or open-source code?
To date, no public APIs, official SDKs, or verifiable GitHub repositories have been found; the Tushengsheng platform should therefore be considered a proprietary commercial service that is not open source.
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