Solutions

Solution 06

Private AIGC Content Generation Platform

Beta AIGC Creative Engine

Self-controlled content generation platform supporting brand style customization, batch generation, clear copyright ownership and compliance audit.

Private AIGC Content Generation Platform

Background

Content demand grows exponentially, public cloud AIGC has shortcomings in copyright compliance, material privacy, and style consistency.

Copyright & Privacy

Enterprises want self-controlled generation platforms ensuring clear copyright ownership and no material leakage.

Model Adaptation & Integration Difficulties

Different business scenarios require different vision models, lack of unified platform leads to redundant development and high integration complexity.

Solution Content

Model Layer

Deploy text-to-image, image-to-image, video generation models, support brand style fine-tuning, ensuring consistent generated style complying with VI standards.

Usage Layer

Provides easy-to-use Web workbench, supports text description, sample image upload, parameter adjustment and batch generation of different sizes/copy versions.

System Layer

Platform deployed in enterprise data center or isolated area, materials and works saved locally, clear copyright ownership, facilitating audit and compliance.

Relying on high-efficiency proprietary inference chips, achieving sustained and stable large-scale generation capability at lower cost than public cloud GPUs.

Key Advantages

Let data speak — let results be visible

10x
Efficiency Gain

Content generation efficiency increased 10x+

100%
Copyright Ownership

Enterprise owns 100% copyright

60%
Cost Savings

60% cost savings vs outsourcing

Unified
Brand Style

Highly unified brand visual style

Technical Capabilities

Deep technical capabilities powering your business

Brand Style Fine-tuning

Model fine-tuning based on enterprise brand materials, automatically generating content compliant with VI standards and brand tone, ensuring visual style consistency

Copyright Compliance

Private deployment ensures materials and works don't leak, clear copyright ownership, supports complete audit logs and compliance management processes

Multi-model Unified Platform

Integrates text-to-image, image-to-image, video generation and other AIGC models, unified workbench operation, supports batch generation and multi-size adaptation

High-performance Inference

Uses proprietary inference chips and optimization engine, achieving low-cost high-concurrency generation, supporting thousands of simultaneous users, single image generation in only 3-8 seconds

Target Industries

This solution is designed for the following industries and use cases

E-commerce
Brands
Advertising
MCN
Gaming/Film
Education
Real Estate

Implementation Process

Expert-guided implementation ensuring seamless project delivery

01
1 week
Requirements Analysis

Analyze content scenarios and brand style requirements

02
1-2 weeks
Model Deployment

Deploy base models and inference platform

03
2-3 weeks
Style Fine-tuning

Style training based on brand materials

04
2-3 weeks
Platform Development

Build workbench and API interfaces

05
1-2 weeks
Launch & Training

Team training, trial run, official launch

FAQ

Common questions answered

Main differences: 1) Copyright ownership: All content generated by private platform fully owned by enterprise, public cloud copyright may be disputed; 2) Material security: Private deployment doesn't upload brand materials and generated content to external platforms, avoiding business secret leaks; 3) Style control: Supports deep fine-tuning based on enterprise VI, highly unified generated content style; 4) Cost advantage: For heavy usage, private platform TCO far lower than public cloud per-use billing.

Typically requires 100-500 high-quality brand materials (product images, posters, VI designs, etc.), covering different scenarios and compositions. Fine-tuned model can learn brand color schemes, fonts, composition styles, with 90%+ generated content matching brand tone. We also support lightweight fine-tuning techniques like LoRA and Hypernetwork, enabling quick adaptation to new scenarios with fewer samples. Multiple rounds of testing and optimization before delivery ensure requirements are met.

We support multi-modal AIGC capabilities: 1) Image generation: text-to-image, image-to-image, inpainting, style transfer, super-resolution, etc.; 2) Video generation: text-to-video, image animation, video style conversion (experimental); 3) 3D content: text/image to 3D model (partner solution). Platform provides unified API and Web workbench, supporting batch generation, multi-size output, parameter template saving and other productivity features. Based on business needs, we can also integrate domain-specific models (e.g., product images, architecture, fashion design, etc.).

We provide multi-layer quality and compliance safeguards: 1) Content filtering: Built-in sensitive word detection and inappropriate content recognition, automatically blocking non-compliant generation requests; 2) Manual review: Supports configurable review workflows, important content requires manual approval before publishing; 3) Version management: Records generation history and parameters, supporting traceability and version comparison; 4) Quality scoring: AI automatically evaluates aesthetic quality and brand compliance of generated content, low-scoring content can be automatically regenerated; 5) Permission management: Fine-grained user permissions and quota control. All operations maintain complete audit logs.

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