Qianlu AI
Design tools designed specifically for cross-border e-commerce, offering design and AI services. It provides various AI-based image processing functions such as product refinement, image migration, photo translation, color adjustment of products, creation of AI model images, and removal of watermarks from photos. Free computing power is provided upon registration.
Tags:AI image background removalWhat is Qianlu AI?
Qianlu AI Canvas is an AI design platform designed for e-commerce, film and television industry professionals, as well as creators of short videos and content on social media.
It organizes images, videos, text, audio, assets, and team collaboration within an infinite canvas.
Core functions
| Functional category | Key capabilities | Suitable scenarios |
|---|---|---|
| Infinite canvas | Node combination, version organization, and batch tasks | Multi-step creative workflow |
| AI images | Text-to-image, image-to-image, and reference-based generation | Products, posters, and visual concepts |
| AI video | TuSheng videos, first and last frames, and video models | Ad clips and short videos |
| Image processing | Remove background, enlarge image, refine, translate, and repair | E-commerce and marketing materials |
| Team collaboration | Multiple users can edit, share assets, and manage permissions. | Design and content teams |
| Pr assistant | Subtitles, voiceovers, narration editing, and assets | Premiere editing workflow |
| CLI Skills | Image and video tasks initiated by AI Agents | Created by developers and Agents |
Infinity Canvas workflow
The infinite canvas uses nodes to organize materials, prompts, generation tasks, and results, making it suitable for repeated iterations.
- Place the product images, person images, and reference images in separate sections.
- Create tasks using image, text, or video nodes.
- Retain candidate results for different models, parameters, and prompts.
- Pass the output from the previous step on to the next node.
- Use batch tasks to process multiple SKUs or versions of assets.
- After completion, save it to the personal or team asset repository.
AI image generation
The platform offers a variety of image models, supporting tasks for generating text, reference images, and multiple images.
- Select the aspect ratio and resolution based on the target channel.
- Specify the subject, scene, composition, and lighting in the prompt.
- For product images, it is preferable to use front-facing photos with clear edges.
- For character tasks, it is necessary to review the details of the face, fingers, and clothing.
- After creation, it is refined, enlarged, lit, and restored in high definition.
- Compare the actual product with the brand specifications before exporting.
Image processing tools
| Tools | Current use | Frequently Asked Questions |
|---|---|---|
| Remove background | Separate the product or the main subject. | Transparent, with hair-like strands and fine edges |
| AI image expansion | Change the frame size and fill in the surrounding area. | The new region does not match the original image. |
| Product refinement | Improve materials, lighting, and presentation. | Change the actual details of the product |
| Image translation | Processing multilingual text in images | Terms, units, and formatting |
| Local redraw | Modify a specified area of the screen | Borders, perspective, and lighting |
| Intelligent erasure | Delete objects, text, or large areas | The background repair looks unnatural. |
| HD restoration | Enlarge images and enhance details | Generating details does not equate to accurate information. |
AI video and audio
Qianlu AI integrates image-to-video generation, start and end frame creation, and audio node handling within a single canvas workflow.
- First, prepare the start frame, end frame, or character reference image.
- Specify the camera movement, the subject’s actions, and the duration.
- Maintain the stability of trademarks and products for advertising purposes.
- Use audio generation or Pr Assistant to handle voiceovers and subtitles.
- Check for flickering, distortion, frame drops, and timing errors.
- Check the resolution, watermark, and computing power usage before exporting.
Custom models
Users can configure their own third-party model APIs in the designated canvas nodes.
| Node | Supports connection | Required information |
|---|---|---|
| Image generation | Third-party image models | API address, Token, model identifier |
| Video generation | Third-party video models | API address, Token, model identifier |
| Text generation | Third-party text models | API address, Token, model identifier |
| Image list | Batch image output | Same as above |
| Text list | Batch text output | Same as above |
At present, Qianlu does not charge any fees for using custom models; the costs associated with third-party APIs are collected directly by the respective service providers.
Key security aspects of custom models
- Use the API Token for a separate project.
- Set limits on tokens, as well as constraints on models and permissions.
- Enter the identifier of the model actually deployed by the service provider.
- Do not include tokens in prompts or shared materials.
- View bills, usage, and alerts in the third-party console.
- Rotate the Token immediately after departure, leakage, or abnormal invocation.
Qianlu CLI Skills
The official CLI Skills enable image and video creation capabilities to be integrated with various AI Agent tools.
- Install the official CLI and Skill according to the operating system.
- Before installation, review the download address, script, and required permissions.
- Bind the Qianlu account using the login command.
- After restarting the Agent, create a generation task using natural language.
- Reference images, aspect ratios, resolution, and duration can be provided.
- Generation is still subject to restrictions related to accounts, memberships, computing power, and content rules.
Team collaboration
- Multi-user online editing of canvases with data synchronization.
- The team asset library shares images, videos, and other materials.
- Template libraries are used to reuse stable creation workflows.
- Administrators can assign seats, computing power, and member permissions.
- Before leaving the team, members should transfer ownership of the projects and assets.
- After the membership expires, the seat can be changed to read-only mode; it is necessary to back up the data in advance.
Qianlu AI Usage Guide
- Register for a Qianlu account and confirm the free computing power grant.
- Create a new canvas project and specify its purpose.
- Import your own or licensed reference materials.
- Select a picture, video, text, or audio node.
- Select the model based on quality, speed, and computing cost.
- Fill in the subject, scene, action, composition, and style.
- Confirm the resolution, number of frames, duration, and consumption for this session.
- Generate a small number of candidate results and select a direction.
- Continue with image expansion, refinement, redrawing, lighting, or high-definition restoration.
- Check the products, characters, text, sequence of events, and brand identifiers.
- Confirm the licensing for materials, portraits, fonts, music, and models.
- Export and back up the source project along with the final product.
Prices and individual memberships
| Package | Current monthly price | Total computing power per month | Cloud storage | Primary interests |
|---|---|---|---|---|
| Free V0 trial | 0 yuan | Up to 200 as a free gift | 1GB | 30-day temporary storage |
| V1 Individual Membership | 49 yuan per month | 2500 | 20GB | 4K images, 1080P videos, for personal and commercial use |
| V2 Individual Membership | 99 yuan per month | 5850 | 50GB | More computing power and storage |
| V3 Individual Membership | 299 yuan per month | 22100 | 100GB | High-frequency creation quota |
| V4 Individual Membership | 699 yuan per month | 71500 | 500GB | Massive creation and storage |
The computing power allocated to individual members is provided on a monthly basis; the validity period for general-purpose and image-related computing power is 30 days.
Team member price
| Package | Current price | Seats | Total computing power | Cloud storage |
|---|---|---|---|---|
| V0 team trial | 99 yuan/month | 2 | 6000 | 200GB |
| V1 Team Members | 1,999 yuan per year | 2 | 122000 | 200GB |
| V2 Team Members | 2999 yuan per year | 3 | 183000 | 200GB |
| V3 Team Members | 4,999 yuan per year | 5 | 305000 | 500GB |
| V4 Team Members | 6,999 yuan per year | 10 | 610000 | 1000GB |
The general computing power purchased for the team is credited in one go and remains valid for one year, while the computing power dedicated to image processing is refreshed on a daily basis per seat.
How is computing power consumed
| Function examples | Specifications | Current consumption |
|---|---|---|
| Qwen Image image generation | 1K/2K/4K | 1/2/4 computing power per card |
| Remove background | Each one | 1 computing power |
| AI image expansion | Not more than 1K/Not more than 3K/Not more than 4K | 1/2/3 computing power |
| General materials for refined product finishing | Not more than 1K/Not more than 3K/Not more than 4K | 2/3/4 computing power |
| Image translation | 1K/2K/4K | 10/20/40 computing power |
| Local redraw | Not more than 1K/Not more than 3K/Not more than 4K | 1/2/3 computing power |
| Remove watermarks from images | Each one | 4 computing power |
The price and computing power data were verified on August 30, 2026; the model, resolution, and image quality can lead to significant variations in consumption.
Packages, promotions, bonuses, seats, and computing power can be adjusted; the payment will be based on the real-time settlement page and the contract.
What needs to be confirmed before making a purchase?
- The computational power required for a single calculation with the target model and resolution.
- The scope of application for general computing power and computing power dedicated to images.
- The time of allocation, the method of refreshment, and the validity period of computing power.
- Differences in benefits for members, those who purchase computing power packages individually, and team packages.
- Cloud storage space, project retention, and rules for cleanup upon expiration.
- Rights for commercial use, watermarks, 4K images, and 1080P videos.
- Team seats, management permissions, security, and data export.
Storage and expiration rules
- New projects and assets created by non-members are temporarily retained for 30 days.
- The initial 1GB of storage space for personal accounts remains valid indefinitely in accordance with the official rules.
- The membership expansion option is available only during the membership period.
- If a membership has not been renewed for more than 30 days after it expires, the associated projects and assets can be deleted.
- Important source materials, canvases, and finished products should be regularly backed up locally.
- Do not use the cloud canvas as the only long-term archive.
Supported platforms
| Platform | Public support | Explanation |
|---|---|---|
| Web page version | Support | AI canvas and primary creation interface |
| Windows | Support | Qianlu client and design assistant |
| macOS | Support | Client functions are based on the current version. |
| Premiere Pro | Support | The Pr assistant is used for editing assistance. |
| CLI Skills | Support | Access to a variety of AI Agent tools |
Copyright, Commercial Use, and AI Indicators
- The materials uploaded must be owned by you or for which you have legitimate authorization.
- Explicit consent is required for portraits, voices, and personal information.
- Trademarks, fonts, music, and third-party models are subject to their respective terms.
- AI-generated content may be similar to that of others; a rights check should be conducted before using it for commercial purposes.
- The AI identifiers that are required by law or the platform to be retained must not be removed.
- When published publicly, explicit or implicit identifiers must be added in accordance with the applicable rules.
Authenticity of products and advertisements
- It is not allowed to make subtle modifications to the core structure of the product.
- The color, size, material, and packaging shall be based on the actual product.
- After translating the image, verify the warnings, ingredients, and legal text.
- The generated scenarios must not mislead regarding the actual effects of the products.
- There is no need to use synthetic images to fake reviews, users, or transactions.
- It is reviewed in final form by the heads of design, products, and compliance before it is put on the market.
API, CLI, and open-source status
Qianlu allows users to integrate their own third-party APIs, and it also offers official CLI skills; these two options represent different functionalities.
| Ability | Public status | Accurate understanding |
|---|---|---|
| Custom models | Support | Qianlu forwards third-party APIs configured by users. |
| Qianlu CLI Skills | Supports downloading and logging in | Allow the Agent to utilize Qianlu’s creative capabilities. |
| Public universal API | The complete document has not been made public yet. | It cannot be deduced to exist through custom models. |
| The entire platform is open source. | No | The fact that skills can be downloaded does not mean that the platform is open source. |
| Model weights | No open access was found. | Citing a third-party model does not imply that one possesses rights to it. |
Which users are it suitable for
- An e-commerce team responsible for creating product main images and detailed promotional materials.
- Creators who need the integration of images, videos, and audio.
- A editor who uses Premiere to create subtitles and voiceovers.
- Teams that need to share assets, templates, and computing power.
- Users who integrate image and video creation with AI Agents.
Product advantages
- The infinite canvas supports multi-step creative workflows.
- Image, video, text, and audio nodes can be combined.
- It includes a wide range of tools for processing e-commerce images.
- The Team version provides management for seats, assets, computing power, and permissions.
- It can be connected to third-party model APIs owned by users.
- The official CLI Skills supports a variety of AI Agent tools.
Usage restrictions and precautions
- There are significant differences among different models in terms of quality, speed, and computing power.
- The computing power allocated to individual members expires after 30 days in the same month.
- Non-member projects and assets can be stored temporarily for 30 days.
- Custom models incur costs associated with third-party APIs.
- AI-generated content may have issues related to facts, structure, and rights.
- Before installing the CLI script, it is necessary to review its source and system permissions.
- The complete platform and model weights are not made available under an open source license.
Frequently Asked Questions
What can Qianlu AI do?
It enables the combination of AI-generated images, videos, text, audio, image processing tools, and team collaboration within an infinite canvas.
Can Qianlu AI be used for free?
New users receive 100 units of computing power upon registration; an additional 100 units are granted by entering an invitation code. Projects for non-members are available on a temporary basis for 30 days.
How much is the individual membership for Qianlu AI?
The current monthly prices for V1 to V4 are 49 yuan, 99 yuan, 299 yuan, and 699 yuan respectively; the benefits and computing power vary among them.
Will the computing power of Qianlu AI expire?
Yes, individual members are usually granted a computing capacity valid for 30 days per month, while purchased computing packages are valid for one year.
Can Qianlu AI integrate with its own model API?
Yes, it is possible to specify nodes for which third-party APIs can be configured; the fees associated with these APIs are charged by the third-party service providers.
What is Qianlu CLI Skills?
It is an officially provided Agent integration; once installed and logged in, it allows various AI Agents to initiate tasks related to images and videos.
Is Qianlu AI an open-source platform?
No, the downloadable CLI and Skills do not represent the complete source code of the platform or the open-source model weights.
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