In Context lora + Character story generator + flux+ shichen版本v1.0 (ID: 1065124)

# Random Character Movie Story Generator



## Project Overview

This is a cloud-based AI movie story generation system that automatically creates movie posters and key stills based on user-input characters and scenes. The entire system adopts a modular design, primarily leveraging StepFun and BizyAir platforms.



## Technical Architecture



### Core Components

- **Base Platforms**: 

  - StepFun Cloud Platform (https://platform.stepfun.com/account-overview)

  - BizyAir Workflow Engine (https://github.com/siliconflow/bizyair)



### Image Generation Pipeline

1. **Initial Image Generation**:

   - Uses Pulid model for initial character image generation

   

2. **Continuity Assurance**:

   - Implements In-Context-LoRA technology (https://github.com/ali-vilab/In-Context-LoRA)

   - Ensures consistency in generated image style

   - Produces key story frame sequences



3. **Final Output**:

   - Generates movie poster

   - Outputs key scene stills



## Deployment Options

- **Cloud Deployment**: 

  - Default usage of StepFun platform cloud nodes

  - No local configuration required

  

- **Local Deployment**:

  - Nodes can be replaced with local ones based on hardware specifications

  - Supports hybrid deployment mode



## Workflow

1. User uploads character information

2. Inputs scene description and story outline

3. System automatically generates initial character image

4. Creates continuous scenes through LoRA technology

5. Final synthesis of movie poster



## Key Features

- Full cloud operation, zero local dependencies

- Modular design supporting custom extensions

- Flux-based stable workflow

- Highly customizable deployment solutions



# 随机角色电影故事生成器



## 项目概述

这是一个基于云平台的AI电影故事生成系统，可以根据用户输入的角色和场景，自动生成电影海报和关键剧照,整个系统采用模块化设计，主要依托于阶跃星辰(StepFun)和BizyAir平台,



## 技术架构



### 核心组件

- **基础平台**: 

  - StepFun云平台 (https://platform.stepfun.com/account-overview)

  - BizyAir工作流引擎 (https://github.com/siliconflow/bizyair)



### 图像生成流程

1. **首图生成**:

   - 使用Pulid模型生成初始角色图像

   

2. **连续性保证**:

   - 采用In-Context-LoRA技术 (https://github.com/ali-vilab/In-Context-LoRA)

   - 确保生成图片的风格一致性

   - 生成关键剧情帧段



3. **最终输出**:

   - 生成电影海报

   - 输出关键场景剧照



## 部署选项

- **云端部署**: 

  - 默认使用StepFun平台的云节点

  - 无需本地配置

  

- **本地部署**:

  - 可根据实际硬件配置替换为本地节点

  - 支持混合部署模式



## 工作流程

1. 用户上传角色信息

2. 输入场景描述和故事概要

3. 系统自动生成首张角色图像

4. 通过LoRA技术生成连续性场景

5. 最终合成电影海报



## 优势特点

- 全云端操作，零本地依赖

- 模块化设计，支持自定义扩展

- 基于Flux的稳定工作流

- 高度可定制的部署方案

描述:

Pure cloud run version

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