项目重命名: ReelForge => Pixelle-Video

README.md

@@ -1,11 +1,11 @@
 <div align="center">
-<h1 align="center">ReelForge 🎬</h1>
+<h1 align="center">Pixelle-Video 🎬</h1>
 
 <p align="center">
-  <a href="https://github.com/JarvisAIHub/ReelForge/stargazers"><img src="https://img.shields.io/github/stars/JarvisAIHub/ReelForge.svg?style=for-the-badge" alt="Stargazers"></a>
+  <a href="https://github.com/PixelleLab/Pixelle-Video/stargazers"><img src="https://img.shields.io/github/stars/PixelleLab/Pixelle-Video.svg?style=for-the-badge" alt="Stargazers"></a>
-  <a href="https://github.com/JarvisAIHub/ReelForge/issues"><img src="https://img.shields.io/github/issues/JarvisAIHub/ReelForge.svg?style=for-the-badge" alt="Issues"></a>
+  <a href="https://github.com/PixelleLab/Pixelle-Video/issues"><img src="https://img.shields.io/github/issues/PixelleLab/Pixelle-Video.svg?style=for-the-badge" alt="Issues"></a>
-  <a href="https://github.com/JarvisAIHub/ReelForge/network/members"><img src="https://img.shields.io/github/forks/JarvisAIHub/ReelForge.svg?style=for-the-badge" alt="Forks"></a>
+  <a href="https://github.com/PixelleLab/Pixelle-Video/network/members"><img src="https://img.shields.io/github/forks/PixelleLab/Pixelle-Video.svg?style=for-the-badge" alt="Forks"></a>
-  <a href="https://github.com/JarvisAIHub/ReelForge/blob/main/LICENSE"><img src="https://img.shields.io/github/license/JarvisAIHub/ReelForge.svg?style=for-the-badge" alt="License"></a>
+  <a href="https://github.com/PixelleLab/Pixelle-Video/blob/main/LICENSE"><img src="https://img.shields.io/github/license/PixelleLab/Pixelle-Video.svg?style=for-the-badge" alt="License"></a>
 </p>
 
 <br>
@@ -14,7 +14,7 @@
 
 <br>
 
-只需输入一个 **主题**，ReelForge 就能自动完成：
+只需输入一个 **主题**，Pixelle-Video 就能自动完成：
 - ✍️ 撰写视频文案
 - 🎨 生成 AI 配图  
 - 🗣️ 合成语音解说
@@ -54,8 +54,8 @@
 ### 第一步：下载项目
 
 ```bash
-git clone https://github.com/JarvisAIHub/ReelForge.git
+git clone https://github.com/PixelleLab/Pixelle-Video.git
-cd ReelForge
+cd Pixelle-Video
 ```
 
 ### 第二步：启动 Web 界面
@@ -207,7 +207,7 @@ A: **本项目完全支持免费运行！**
 
 ## 🤝 参考项目
 
-ReelForge 的设计受到以下优秀开源项目的启发：
+Pixelle-Video 的设计受到以下优秀开源项目的启发：
 
 - [Pixelle-MCP](https://github.com/AIDC-AI/Pixelle-MCP) - ComfyUI MCP 服务器，让 AI 助手直接调用 ComfyUI
 - [MoneyPrinterTurbo](https://github.com/harry0703/MoneyPrinterTurbo) - 优秀的视频生成工具
@@ -221,8 +221,8 @@ ReelForge 的设计受到以下优秀开源项目的启发：
 
 ## 📢 反馈与支持
 
-- 🐛 **遇到问题**: 提交 [Issue](https://github.com/JarvisAIHub/ReelForge/issues)
+- 🐛 **遇到问题**: 提交 [Issue](https://github.com/PixelleLab/Pixelle-Video/issues)
-- 💡 **功能建议**: 提交 [Feature Request](https://github.com/JarvisAIHub/ReelForge/issues)
+- 💡 **功能建议**: 提交 [Feature Request](https://github.com/PixelleLab/Pixelle-Video/issues)
 - ⭐ **给个 Star**: 如果这个项目对你有帮助，欢迎给个 Star 支持一下！
 
 ---
@@ -235,12 +235,12 @@ ReelForge 的设计受到以下优秀开源项目的启发：
 
 ## ⭐ Star History
 
-[![Star History Chart](https://api.star-history.com/svg?repos=JarvisAIHub/ReelForge&type=Date)](https://star-history.com/#JarvisAIHub/ReelForge&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=PixelleLab/Pixelle-Video&type=Date)](https://star-history.com/#PixelleLab/Pixelle-Video&Date)
 
 ---
 
 <div align="center">
-  <p>Made with ❤️ by JarvisAIHub</p>
+  <p>Made with ❤️ by PixelleLab</p>
   <p>
     <a href="#top">回到顶部 ⬆️</a>
   </p>

api/__init__.py

@@ -1,5 +1,5 @@
 """
-ReelForge API Layer
+Pixelle-Video API Layer
 
 FastAPI-based REST API for video generation services.
 """

api/app.py

@@ -1,5 +1,5 @@
 """
-ReelForge FastAPI Application
+Pixelle-Video FastAPI Application
 
 Main FastAPI app with all routers and middleware.
 
@@ -18,7 +18,7 @@ from loguru import logger
 
 from api.config import api_config
 from api.tasks import task_manager
-from api.dependencies import shutdown_reelforge
+from api.dependencies import shutdown_pixelle_video
 
 # Import routers
 from api.routers import (
@@ -41,24 +41,24 @@ async def lifespan(app: FastAPI):
     Handles startup and shutdown events.
     """
     # Startup
-    logger.info("🚀 Starting ReelForge API...")
+    logger.info("🚀 Starting Pixelle-Video API...")
     await task_manager.start()
-    logger.info("✅ ReelForge API started successfully\n")
+    logger.info("✅ Pixelle-Video API started successfully\n")
     
     yield
     
     # Shutdown
-    logger.info("🛑 Shutting down ReelForge API...")
+    logger.info("🛑 Shutting down Pixelle-Video API...")
     await task_manager.stop()
-    await shutdown_reelforge()
+    await shutdown_pixelle_video()
-    logger.info("✅ ReelForge API shutdown complete")
+    logger.info("✅ Pixelle-Video API shutdown complete")
 
 
 # Create FastAPI app
 app = FastAPI(
-    title="ReelForge API",
+    title="Pixelle-Video API",
     description="""
-    ## ReelForge - AI Video Generation Platform API
+    ## Pixelle-Video - AI Video Generation Platform API
     
     ### Features
     - 🤖 **LLM**: Large language model integration
@@ -113,7 +113,7 @@ app.include_router(files_router, prefix=api_config.api_prefix)
 async def root():
     """Root endpoint with API information"""
     return {
-        "service": "ReelForge API",
+        "service": "Pixelle-Video API",
         "version": "0.1.0",
         "docs": api_config.docs_url,
         "health": "/health",
@@ -132,7 +132,7 @@ if __name__ == "__main__":
     import uvicorn
     
     # Parse command line arguments
-    parser = argparse.ArgumentParser(description="Start ReelForge API Server")
+    parser = argparse.ArgumentParser(description="Start Pixelle-Video API Server")
     parser.add_argument("--host", default="0.0.0.0", help="Host to bind to")
     parser.add_argument("--port", type=int, default=8000, help="Port to bind to")
     parser.add_argument("--reload", action="store_true", help="Enable auto-reload")
@@ -142,7 +142,7 @@ if __name__ == "__main__":
     # Print startup banner
     print(f"""
 ╔══════════════════════════════════════════════════════════════╗
-║                    ReelForge API Server                      ║
+║                    Pixelle-Video API Server                      ║
 ╚══════════════════════════════════════════════════════════════╝
 
 Starting server at http://{args.host}:{args.port}

api/dependencies.py

@@ -1,45 +1,45 @@
 """
 FastAPI Dependencies
 
-Provides dependency injection for ReelForgeCore and other services.
+Provides dependency injection for PixelleVideoCore and other services.
 """
 
 from typing import Annotated
 from fastapi import Depends
 from loguru import logger
 
-from reelforge.service import ReelForgeCore
+from pixelle_video.service import PixelleVideoCore
 
 
-# Global ReelForge instance
+# Global Pixelle-Video instance
-_reelforge_instance: ReelForgeCore = None
+_pixelle_video_instance: PixelleVideoCore = None
 
 
-async def get_reelforge() -> ReelForgeCore:
+async def get_pixelle_video() -> PixelleVideoCore:
     """
-    Get ReelForge core instance (dependency injection)
+    Get Pixelle-Video core instance (dependency injection)
     
     Returns:
-        ReelForgeCore instance
+        PixelleVideoCore instance
     """
-    global _reelforge_instance
+    global _pixelle_video_instance
     
-    if _reelforge_instance is None:
+    if _pixelle_video_instance is None:
-        _reelforge_instance = ReelForgeCore()
+        _pixelle_video_instance = PixelleVideoCore()
-        await _reelforge_instance.initialize()
+        await _pixelle_video_instance.initialize()
-        logger.info("✅ ReelForge initialized for API")
+        logger.info("✅ Pixelle-Video initialized for API")
     
-    return _reelforge_instance
+    return _pixelle_video_instance
 
 
-async def shutdown_reelforge():
+async def shutdown_pixelle_video():
-    """Shutdown ReelForge instance"""
+    """Shutdown Pixelle-Video instance"""
-    global _reelforge_instance
+    global _pixelle_video_instance
-    if _reelforge_instance:
+    if _pixelle_video_instance:
-        logger.info("Shutting down ReelForge...")
+        logger.info("Shutting down Pixelle-Video...")
-        _reelforge_instance = None
+        _pixelle_video_instance = None
 
 
 # Type alias for dependency injection
-ReelForgeDep = Annotated[ReelForgeCore, Depends(get_reelforge)]
+PixelleVideoDep = Annotated[PixelleVideoCore, Depends(get_pixelle_video)]
 

api/routers/content.py

@@ -7,7 +7,7 @@ Endpoints for generating narrations, image prompts, and titles.
 from fastapi import APIRouter, HTTPException
 from loguru import logger
 
-from api.dependencies import ReelForgeDep
+from api.dependencies import PixelleVideoDep
 from api.schemas.content import (
     NarrationGenerateRequest,
     NarrationGenerateResponse,
@@ -23,7 +23,7 @@ router = APIRouter(prefix="/content", tags=["Content Generation"])
 @router.post("/narration", response_model=NarrationGenerateResponse)
 async def generate_narration(
     request: NarrationGenerateRequest,
-    reelforge: ReelForgeDep
+    pixelle_video: PixelleVideoDep
 ):
     """
     Generate narrations from text
@@ -41,7 +41,7 @@ async def generate_narration(
         logger.info(f"Generating {request.n_scenes} narrations from text")
         
         # Call narration generator service
-        narrations = await reelforge.narration_generator(
+        narrations = await pixelle_video.narration_generator(
             text=request.text,
             n_scenes=request.n_scenes,
             min_words=request.min_words,
@@ -60,7 +60,7 @@ async def generate_narration(
 @router.post("/image-prompt", response_model=ImagePromptGenerateResponse)
 async def generate_image_prompt(
     request: ImagePromptGenerateRequest,
-    reelforge: ReelForgeDep
+    pixelle_video: PixelleVideoDep
 ):
     """
     Generate image prompts from narrations
@@ -77,7 +77,7 @@ async def generate_image_prompt(
         logger.info(f"Generating image prompts for {len(request.narrations)} narrations")
         
         # Call image prompt generator service
-        image_prompts = await reelforge.image_prompt_generator(
+        image_prompts = await pixelle_video.image_prompt_generator(
             narrations=request.narrations,
             min_words=request.min_words,
             max_words=request.max_words
@@ -95,7 +95,7 @@ async def generate_image_prompt(
 @router.post("/title", response_model=TitleGenerateResponse)
 async def generate_title(
     request: TitleGenerateRequest,
-    reelforge: ReelForgeDep
+    pixelle_video: PixelleVideoDep
 ):
     """
     Generate video title from text
@@ -111,7 +111,7 @@ async def generate_title(
         logger.info("Generating title from text")
         
         # Call title generator service
-        title = await reelforge.title_generator(
+        title = await pixelle_video.title_generator(
             text=request.text
         )
         

api/routers/health.py

@@ -12,7 +12,7 @@ class HealthResponse(BaseModel):
     """Health check response"""
     status: str = "healthy"
     version: str = "0.1.0"
-    service: str = "ReelForge API"
+    service: str = "Pixelle-Video API"
 
 
 class CapabilitiesResponse(BaseModel):

api/routers/image.py

@@ -5,7 +5,7 @@ Image generation endpoints
 from fastapi import APIRouter, HTTPException
 from loguru import logger
 
-from api.dependencies import ReelForgeDep
+from api.dependencies import PixelleVideoDep
 from api.schemas.image import ImageGenerateRequest, ImageGenerateResponse
 
 router = APIRouter(prefix="/image", tags=["Image"])
@@ -14,7 +14,7 @@ router = APIRouter(prefix="/image", tags=["Image"])
 @router.post("/generate", response_model=ImageGenerateResponse)
 async def image_generate(
     request: ImageGenerateRequest,
-    reelforge: ReelForgeDep
+    pixelle_video: PixelleVideoDep
 ):
     """
     Image generation endpoint
@@ -32,7 +32,7 @@ async def image_generate(
         logger.info(f"Image generation request: {request.prompt[:50]}...")
         
         # Call image service
-        image_path = await reelforge.image(
+        image_path = await pixelle_video.image(
             prompt=request.prompt,
             width=request.width,
             height=request.height,

api/routers/llm.py

@@ -5,7 +5,7 @@ LLM (Large Language Model) endpoints
 from fastapi import APIRouter, HTTPException
 from loguru import logger
 
-from api.dependencies import ReelForgeDep
+from api.dependencies import PixelleVideoDep
 from api.schemas.llm import LLMChatRequest, LLMChatResponse
 
 router = APIRouter(prefix="/llm", tags=["LLM"])
@@ -14,7 +14,7 @@ router = APIRouter(prefix="/llm", tags=["LLM"])
 @router.post("/chat", response_model=LLMChatResponse)
 async def llm_chat(
     request: LLMChatRequest,
-    reelforge: ReelForgeDep
+    pixelle_video: PixelleVideoDep
 ):
     """
     LLM chat endpoint
@@ -31,7 +31,7 @@ async def llm_chat(
         logger.info(f"LLM chat request: {request.prompt[:50]}...")
         
         # Call LLM service
-        response = await reelforge.llm(
+        response = await pixelle_video.llm(
             prompt=request.prompt,
             temperature=request.temperature,
             max_tokens=request.max_tokens

api/routers/tts.py

@@ -5,9 +5,9 @@ TTS (Text-to-Speech) endpoints
 from fastapi import APIRouter, HTTPException
 from loguru import logger
 
-from api.dependencies import ReelForgeDep
+from api.dependencies import PixelleVideoDep
 from api.schemas.tts import TTSSynthesizeRequest, TTSSynthesizeResponse
-from reelforge.utils.tts_util import get_audio_duration
+from pixelle_video.utils.tts_util import get_audio_duration
 
 router = APIRouter(prefix="/tts", tags=["TTS"])
 
@@ -15,7 +15,7 @@ router = APIRouter(prefix="/tts", tags=["TTS"])
 @router.post("/synthesize", response_model=TTSSynthesizeResponse)
 async def tts_synthesize(
     request: TTSSynthesizeRequest,
-    reelforge: ReelForgeDep
+    pixelle_video: PixelleVideoDep
 ):
     """
     Text-to-Speech synthesis endpoint
@@ -31,7 +31,7 @@ async def tts_synthesize(
         logger.info(f"TTS synthesis request: {request.text[:50]}...")
         
         # Call TTS service
-        audio_path = await reelforge.tts(
+        audio_path = await pixelle_video.tts(
             text=request.text,
             voice_id=request.voice_id
         )

api/routers/video.py

@@ -8,7 +8,7 @@ import os
 from fastapi import APIRouter, HTTPException, Request
 from loguru import logger
 
-from api.dependencies import ReelForgeDep
+from api.dependencies import PixelleVideoDep
 from api.schemas.video import (
     VideoGenerateRequest,
     VideoGenerateResponse,
@@ -32,7 +32,7 @@ def path_to_url(request: Request, file_path: str) -> str:
 @router.post("/generate/sync", response_model=VideoGenerateResponse)
 async def generate_video_sync(
     request_body: VideoGenerateRequest,
-    reelforge: ReelForgeDep,
+    pixelle_video: PixelleVideoDep,
     request: Request
 ):
     """
@@ -52,7 +52,7 @@ async def generate_video_sync(
         logger.info(f"Sync video generation: {request_body.text[:50]}...")
         
         # Call video generator service
-        result = await reelforge.generate_video(
+        result = await pixelle_video.generate_video(
             text=request_body.text,
             mode=request_body.mode,
             title=request_body.title,
@@ -94,7 +94,7 @@ async def generate_video_sync(
 @router.post("/generate/async", response_model=VideoGenerateAsyncResponse)
 async def generate_video_async(
     request_body: VideoGenerateRequest,
-    reelforge: ReelForgeDep,
+    pixelle_video: PixelleVideoDep,
     request: Request
 ):
     """
@@ -126,7 +126,7 @@ async def generate_video_async(
         # Define async execution function
         async def execute_video_generation():
             """Execute video generation in background"""
-            result = await reelforge.generate_video(
+            result = await pixelle_video.generate_video(
                 text=request_body.text,
                 mode=request_body.mode,
                 title=request_body.title,

api/schemas/tts.py

@@ -13,7 +13,7 @@ class TTSSynthesizeRequest(BaseModel):
     class Config:
         json_schema_extra = {
             "example": {
-                "text": "Hello, welcome to ReelForge!",
+                "text": "Hello, welcome to Pixelle-Video!",
                 "voice_id": "[Chinese] zh-CN Yunjian"
             }
         }

config.example.yaml

@@ -1,8 +1,8 @@
-# ReelForge Configuration
+# Pixelle-Video Configuration
 # Copy this file to config.yaml and fill in your settings
 # ⚠️ Never commit config.yaml to Git!
 
-project_name: ReelForge
+project_name: Pixelle-Video
 
 # ==================== LLM Configuration ====================
 # Supports any OpenAI SDK compatible API

docs/capabilities-guide.md

@@ -1,10 +1,10 @@
-# ReelForge Capabilities Guide
+# Pixelle-Video Capabilities Guide
 
 > Complete guide to using LLM, TTS, and Image generation capabilities
 
 ## Overview
 
-ReelForge provides three core AI capabilities:
+Pixelle-Video provides three core AI capabilities:
 - **LLM**: Text generation using LiteLLM (supports 100+ models)
 - **TTS**: Text-to-speech using Edge TTS (free, 400+ voices)
 - **Image**: Image generation using ComfyKit (local or cloud)
@@ -12,16 +12,16 @@ ReelForge provides three core AI capabilities:
 ## Quick Start
 
 ```python
-from reelforge.service import reelforge
+from pixelle_video.service import pixelle_video
 
 # LLM - Generate text
-answer = await reelforge.llm("Summarize 'Atomic Habits' in 3 sentences")
+answer = await pixelle_video.llm("Summarize 'Atomic Habits' in 3 sentences")
 
 # TTS - Generate speech
-audio_path = await reelforge.tts("Hello, world!")
+audio_path = await pixelle_video.tts("Hello, world!")
 
 # Image - Generate images
-image_url = await reelforge.image(
+image_url = await pixelle_video.image(
     workflow="workflows/book_cover_simple.json",
     prompt="minimalist book cover design"
 )
@@ -62,10 +62,10 @@ llm:
 
 ```python
 # Basic usage
-answer = await reelforge.llm("What is machine learning?")
+answer = await pixelle_video.llm("What is machine learning?")
 
 # With parameters
-answer = await reelforge.llm(
+answer = await pixelle_video.llm(
     prompt="Explain atomic habits",
     temperature=0.7,  # 0.0-2.0 (lower = more deterministic)
     max_tokens=2000
@@ -107,18 +107,18 @@ tts:
 
 ```python
 # Basic usage (auto-generates temp path)
-audio_path = await reelforge.tts("Hello, world!")
+audio_path = await pixelle_video.tts("Hello, world!")
 # Returns: "temp/abc123def456.mp3"
 
 # With Chinese text
-audio_path = await reelforge.tts(
+audio_path = await pixelle_video.tts(
     text="你好，世界！",
     voice="zh-CN-YunjianNeural"
 )
 
 # With custom parameters
-audio_path = await reelforge.tts(
+audio_path = await pixelle_video.tts(
-    text="Welcome to ReelForge",
+    text="Welcome to Pixelle-Video",
     voice="en-US-JennyNeural",
     rate="+20%",  # Speed: +50% = faster, -20% = slower
     volume="+0%",
@@ -126,7 +126,7 @@ audio_path = await reelforge.tts(
 )
 
 # Specify output path
-audio_path = await reelforge.tts(
+audio_path = await pixelle_video.tts(
     text="Hello",
     output_path="output/greeting.mp3"
 )
@@ -149,13 +149,13 @@ audio_path = await reelforge.tts(
 
 ```python
 # Get all available voices
-voices = await reelforge.tts.list_voices()
+voices = await pixelle_video.tts.list_voices()
 
 # Get Chinese voices only
-voices = await reelforge.tts.list_voices(locale="zh-CN")
+voices = await pixelle_video.tts.list_voices(locale="zh-CN")
 
 # Get English voices only
-voices = await reelforge.tts.list_voices(locale="en-US")
+voices = await pixelle_video.tts.list_voices(locale="en-US")
 ```
 
 ---
@@ -182,13 +182,13 @@ image:
 
 ```python
 # Basic usage (local ComfyUI)
-image_url = await reelforge.image(
+image_url = await pixelle_video.image(
     workflow="workflows/book_cover_simple.json",
     prompt="minimalist book cover design, blue and white"
 )
 
 # With full parameters
-image_url = await reelforge.image(
+image_url = await pixelle_video.image(
     workflow="workflows/book_cover_simple.json",
     prompt="book cover for 'Atomic Habits', professional, minimalist",
     negative_prompt="ugly, blurry, low quality",
@@ -199,13 +199,13 @@ image_url = await reelforge.image(
 )
 
 # Using RunningHub cloud
-image_url = await reelforge.image(
+image_url = await pixelle_video.image(
     workflow="12345",  # RunningHub workflow ID
     prompt="a beautiful landscape"
 )
 
 # Check available workflows
-workflows = reelforge.image.list_workflows()
+workflows = pixelle_video.image.list_workflows()
 print(f"Available workflows: {workflows}")
 ```
 
@@ -221,7 +221,7 @@ export RUNNINGHUB_API_KEY="rh-key-xxx"
 
 ### Workflow DSL
 
-ReelForge uses ComfyKit's DSL for workflow parameters:
+Pixelle-Video uses ComfyKit's DSL for workflow parameters:
 
 ```json
 {
@@ -252,27 +252,27 @@ Generate a complete book cover with narration:
 
 ```python
 import asyncio
-from reelforge.service import reelforge
+from pixelle_video.service import pixelle_video
 
 async def create_book_content(book_title, author):
     """Generate book summary, audio, and cover image"""
     
     # 1. Generate book summary with LLM
-    summary = await reelforge.llm(
+    summary = await pixelle_video.llm(
         prompt=f"Write a compelling 2-sentence summary for a book titled '{book_title}' by {author}",
         max_tokens=100
     )
     print(f"Summary: {summary}")
     
     # 2. Generate audio narration with TTS
-    audio_path = await reelforge.tts(
+    audio_path = await pixelle_video.tts(
         text=summary,
         voice="en-US-JennyNeural"
     )
     print(f"Audio: {audio_path}")
     
     # 3. Generate book cover image
-    image_url = await reelforge.image(
+    image_url = await pixelle_video.image(
         workflow="workflows/book_cover_simple.json",
         prompt=f"book cover for '{book_title}' by {author}, professional, modern design",
         width=1024,
@@ -339,5 +339,5 @@ result = asyncio.run(create_book_content("Atomic Habits", "James Clear"))
 
 ---
 
-**Happy creating with ReelForge!** 📚🎬
+**Happy creating with Pixelle-Video!** 📚🎬
 

pixelle_video/__init__.py

@@ -0,0 +1,26 @@
+"""
+Pixelle-Video - AI-powered video generator
+
+Convention-based system with unified configuration management.
+
+Usage:
+    from pixelle_video import pixelle_video
+    
+    # Initialize
+    await pixelle_video.initialize()
+    
+    # Use capabilities
+    answer = await pixelle_video.llm("Explain atomic habits")
+    audio = await pixelle_video.tts("Hello world")
+    
+    # Generate video
+    result = await pixelle_video.generate_video(topic="AI in 2024")
+"""
+
+from pixelle_video.service import PixelleVideoCore, pixelle_video
+from pixelle_video.config import config_manager
+
+__version__ = "0.1.0"
+
+__all__ = ["PixelleVideoCore", "pixelle_video", "config_manager"]
+

pixelle_video/cli.py

@@ -1,18 +1,18 @@
 """
-ReelForge CLI
+Pixelle-Video CLI
 """
 
 import asyncio
 
 from loguru import logger
 
-from reelforge.service import reelforge
+from pixelle_video.service import pixelle_video
 
 
 async def test_llm():
     """Test LLM capability"""
-    # Initialize reelforge
+    # Initialize pixelle_video
-    await reelforge.initialize()
+    await pixelle_video.initialize()
     
     # Test prompt
     prompt = "Explain the concept of atomic habits in 3 sentences."
@@ -20,14 +20,14 @@ async def test_llm():
     logger.info(f"\n📝 Test Prompt: {prompt}\n")
     
     # Call LLM
-    result = await reelforge.llm(prompt)
+    result = await pixelle_video.llm(prompt)
     
     logger.info(f"\n✨ Result:\n{result}\n")
 
 
 def main():
     """Main CLI entry point"""
-    logger.info("🚀 ReelForge CLI\n")
+    logger.info("🚀 Pixelle-Video CLI\n")
     
     # Run test
     asyncio.run(test_llm())

pixelle_video/config/__init__.py

@@ -1,10 +1,10 @@
 """
-ReelForge Configuration System
+Pixelle-Video Configuration System
 
 Unified configuration management with Pydantic validation.
 
 Usage:
-    from reelforge.config import config_manager
+    from pixelle_video.config import config_manager
     
     # Access config (type-safe)
     api_key = config_manager.config.llm.api_key
@@ -17,7 +17,7 @@ Usage:
     if config_manager.validate():
         print("Config is valid!")
 """
-from .schema import ReelForgeConfig, LLMConfig, ComfyUIConfig, TTSSubConfig, ImageSubConfig
+from .schema import PixelleVideoConfig, LLMConfig, ComfyUIConfig, TTSSubConfig, ImageSubConfig
 from .manager import ConfigManager
 from .loader import load_config_dict, save_config_dict
 
@@ -25,7 +25,7 @@ from .loader import load_config_dict, save_config_dict
 config_manager = ConfigManager()
 
 __all__ = [
-    "ReelForgeConfig",
+    "PixelleVideoConfig",
     "LLMConfig", 
     "ComfyUIConfig",
     "TTSSubConfig",

pixelle_video/config/manager.py

@@ -6,7 +6,7 @@ Provides unified access to configuration with automatic validation.
 from pathlib import Path
 from typing import Any, Optional
 from loguru import logger
-from .schema import ReelForgeConfig
+from .schema import PixelleVideoConfig
 from .loader import load_config_dict, save_config_dict
 
 
@@ -29,13 +29,13 @@ class ConfigManager:
             return
         
         self.config_path = Path(config_path)
-        self.config: ReelForgeConfig = self._load()
+        self.config: PixelleVideoConfig = self._load()
         self._initialized = True
     
-    def _load(self) -> ReelForgeConfig:
+    def _load(self) -> PixelleVideoConfig:
         """Load configuration from file"""
         data = load_config_dict(str(self.config_path))
-        return ReelForgeConfig(**data)
+        return PixelleVideoConfig(**data)
     
     def reload(self):
         """Reload configuration from file"""
@@ -65,7 +65,7 @@ class ConfigManager:
             return base
         
         merged = deep_merge(current, updates)
-        self.config = ReelForgeConfig(**merged)
+        self.config = PixelleVideoConfig(**merged)
     
     def get(self, key: str, default: Any = None) -> Any:
         """Dict-like access (for backward compatibility)"""

pixelle_video/config/schema.py

@@ -35,9 +35,9 @@ class ComfyUIConfig(BaseModel):
     image: ImageSubConfig = Field(default_factory=ImageSubConfig, description="Image-specific configuration")
 
 
-class ReelForgeConfig(BaseModel):
+class PixelleVideoConfig(BaseModel):
-    """ReelForge main configuration"""
+    """Pixelle-Video main configuration"""
-    project_name: str = Field(default="ReelForge", description="Project name")
+    project_name: str = Field(default="Pixelle-Video", description="Project name")
     llm: LLMConfig = Field(default_factory=LLMConfig)
     comfyui: ComfyUIConfig = Field(default_factory=ComfyUIConfig)
     

pixelle_video/prompts/README.md

@@ -1,6 +1,6 @@
 # Prompts Directory
 
-Centralized prompt management for all LLM interactions in ReelForge.
+Centralized prompt management for all LLM interactions in Pixelle-Video.
 
 ## Structure
 
@@ -22,7 +22,7 @@ prompts/
 All builder functions are exported from the package root:
 
 ```python
-from reelforge.prompts import (
+from pixelle_video.prompts import (
     build_topic_narration_prompt,
     build_content_narration_prompt,
     build_script_split_prompt,
@@ -86,7 +86,7 @@ To add a new prompt:
 3. Export the builder function in `__init__.py`
 4. Use it in service code:
    ```python
-   from reelforge.prompts import build_my_new_prompt
+   from pixelle_video.prompts import build_my_new_prompt
    ```
 
 ## Design Principles

pixelle_video/prompts/__init__.py

@@ -5,17 +5,17 @@ Centralized prompt management for all LLM interactions.
 """
 
 # Narration prompts
-from reelforge.prompts.topic_narration import build_topic_narration_prompt
+from pixelle_video.prompts.topic_narration import build_topic_narration_prompt
-from reelforge.prompts.content_narration import build_content_narration_prompt
+from pixelle_video.prompts.content_narration import build_content_narration_prompt
-from reelforge.prompts.title_generation import build_title_generation_prompt
+from pixelle_video.prompts.title_generation import build_title_generation_prompt
 
 # Image prompts
-from reelforge.prompts.image_generation import (
+from pixelle_video.prompts.image_generation import (
     build_image_prompt_prompt,
     IMAGE_STYLE_PRESETS,
     DEFAULT_IMAGE_STYLE
 )
-from reelforge.prompts.style_conversion import build_style_conversion_prompt
+from pixelle_video.prompts.style_conversion import build_style_conversion_prompt
 
 
 __all__ = [

pixelle_video/service.py

@@ -1,5 +1,5 @@
 """
-ReelForge Core - Service Layer
+Pixelle-Video Core - Service Layer
 
 Provides unified access to all capabilities (LLM, TTS, Image, etc.)
 """
@@ -8,40 +8,40 @@ from typing import Optional
 
 from loguru import logger
 
-from reelforge.config import config_manager
+from pixelle_video.config import config_manager
-from reelforge.services.llm_service import LLMService
+from pixelle_video.services.llm_service import LLMService
-from reelforge.services.tts_service import TTSService
+from pixelle_video.services.tts_service import TTSService
-from reelforge.services.image import ImageService
+from pixelle_video.services.image import ImageService
-from reelforge.services.narration_generator import NarrationGeneratorService
+from pixelle_video.services.narration_generator import NarrationGeneratorService
-from reelforge.services.image_prompt_generator import ImagePromptGeneratorService
+from pixelle_video.services.image_prompt_generator import ImagePromptGeneratorService
-from reelforge.services.title_generator import TitleGeneratorService
+from pixelle_video.services.title_generator import TitleGeneratorService
-from reelforge.services.frame_processor import FrameProcessor
+from pixelle_video.services.frame_processor import FrameProcessor
-from reelforge.services.video_generator import VideoGeneratorService
+from pixelle_video.services.video_generator import VideoGeneratorService
 
 
-class ReelForgeCore:
+class PixelleVideoCore:
     """
-    ReelForge Core - Service Layer
+    Pixelle-Video Core - Service Layer
     
     Provides unified access to all capabilities.
     
     Usage:
-        from reelforge import reelforge
+        from pixelle_video import pixelle_video
         
         # Initialize
-        await reelforge.initialize()
+        await pixelle_video.initialize()
         
         # Use capabilities directly
-        answer = await reelforge.llm("Explain atomic habits")
+        answer = await pixelle_video.llm("Explain atomic habits")
-        audio = await reelforge.tts("Hello world")
+        audio = await pixelle_video.tts("Hello world")
-        image = await reelforge.image(prompt="a cat")
+        image = await pixelle_video.image(prompt="a cat")
         
         # Check active capabilities
-        print(f"Using LLM: {reelforge.llm.active}")
+        print(f"Using LLM: {pixelle_video.llm.active}")
-        print(f"Available TTS: {reelforge.tts.available}")
+        print(f"Available TTS: {pixelle_video.tts.available}")
     
     Architecture (Simplified):
-        ReelForgeCore (this class)
+        PixelleVideoCore (this class)
           ├── config (configuration)
           ├── llm (LLM service - direct OpenAI SDK)
           ├── tts (TTS service - ComfyKit workflows)
@@ -50,7 +50,7 @@ class ReelForgeCore:
     
     def __init__(self, config_path: str = "config.yaml"):
         """
-        Initialize ReelForge Core
+        Initialize Pixelle-Video Core
         
         Args:
             config_path: Path to configuration file
@@ -82,13 +82,13 @@ class ReelForgeCore:
         This initializes all services and must be called before using any capabilities.
         
         Example:
-            await reelforge.initialize()
+            await pixelle_video.initialize()
         """
         if self._initialized:
-            logger.warning("ReelForge already initialized")
+            logger.warning("Pixelle-Video already initialized")
             return
         
-        logger.info("🚀 Initializing ReelForge...")
+        logger.info("🚀 Initializing Pixelle-Video...")
         
         # 1. Initialize core services (no capability layer)
         self.llm = LLMService(self.config)
@@ -107,18 +107,18 @@ class ReelForgeCore:
         self.generate_video = VideoGeneratorService(self)
         
         self._initialized = True
-        logger.info("✅ ReelForge initialized successfully\n")
+        logger.info("✅ Pixelle-Video initialized successfully\n")
     
     @property
     def project_name(self) -> str:
         """Get project name from config"""
-        return self.config.get("project_name", "ReelForge")
+        return self.config.get("project_name", "Pixelle-Video")
     
     def __repr__(self) -> str:
         """String representation"""
         status = "initialized" if self._initialized else "not initialized"
-        return f"<ReelForgeCore project={self.project_name!r} status={status}>"
+        return f"<PixelleVideoCore project={self.project_name!r} status={status}>"
 
 
 # Global instance
-reelforge = ReelForgeCore()
+pixelle_video = PixelleVideoCore()

pixelle_video/services/__init__.py

@@ -0,0 +1,30 @@
+"""
+Pixelle-Video Services
+
+Unified service layer providing simplified access to capabilities.
+"""
+
+from pixelle_video.services.comfy_base_service import ComfyBaseService
+from pixelle_video.services.llm_service import LLMService
+from pixelle_video.services.tts_service import TTSService
+from pixelle_video.services.image import ImageService
+from pixelle_video.services.video import VideoService
+from pixelle_video.services.narration_generator import NarrationGeneratorService
+from pixelle_video.services.image_prompt_generator import ImagePromptGeneratorService
+from pixelle_video.services.title_generator import TitleGeneratorService
+from pixelle_video.services.frame_processor import FrameProcessor
+from pixelle_video.services.video_generator import VideoGeneratorService
+
+__all__ = [
+    "ComfyBaseService",
+    "LLMService",
+    "TTSService",
+    "ImageService",
+    "VideoService",
+    "NarrationGeneratorService",
+    "ImagePromptGeneratorService",
+    "TitleGeneratorService",
+    "FrameProcessor",
+    "VideoGeneratorService",
+]
+

pixelle_video/services/frame_html.py

@@ -253,7 +253,7 @@ class HTMLFrameGenerator:
         # Use provided output path or auto-generate
         if output_path is None:
             # Fallback: auto-generate (for backward compatibility)
-            from reelforge.utils.os_util import get_output_path
+            from pixelle_video.utils.os_util import get_output_path
             output_filename = f"frame_{uuid.uuid4().hex[:16]}.png"
             output_path = get_output_path(output_filename)
         else:

pixelle_video/services/frame_processor.py

@@ -9,21 +9,21 @@ from typing import Callable, Optional
 import httpx
 from loguru import logger
 
-from reelforge.models.progress import ProgressEvent
+from pixelle_video.models.progress import ProgressEvent
-from reelforge.models.storyboard import Storyboard, StoryboardFrame, StoryboardConfig
+from pixelle_video.models.storyboard import Storyboard, StoryboardFrame, StoryboardConfig
 
 
 class FrameProcessor:
     """Frame processor"""
     
-    def __init__(self, reelforge_core):
+    def __init__(self, pixelle_video_core):
         """
         Initialize
         
         Args:
-            reelforge_core: ReelForgeCore instance
+            pixelle_video_core: PixelleVideoCore instance
         """
-        self.core = reelforge_core
+        self.core = pixelle_video_core
     
     async def __call__(
         self,
@@ -121,7 +121,7 @@ class FrameProcessor:
         logger.debug(f"  1/4: Generating audio for frame {frame.index}...")
         
         # Generate output path using task_id
-        from reelforge.utils.os_util import get_task_frame_path
+        from pixelle_video.utils.os_util import get_task_frame_path
         output_path = get_task_frame_path(config.task_id, frame.index, "audio")
         
         # Call TTS with specific output path and workflow
@@ -172,7 +172,7 @@ class FrameProcessor:
         logger.debug(f"  3/4: Composing frame {frame.index}...")
         
         # Generate output path using task_id
-        from reelforge.utils.os_util import get_task_frame_path
+        from pixelle_video.utils.os_util import get_task_frame_path
         output_path = get_task_frame_path(config.task_id, frame.index, "composed")
         
         # Use HTML template to compose frame
@@ -190,7 +190,7 @@ class FrameProcessor:
         output_path: str
     ) -> str:
         """Compose frame using HTML template"""
-        from reelforge.services.frame_html import HTMLFrameGenerator
+        from pixelle_video.services.frame_html import HTMLFrameGenerator
         from pathlib import Path
         
         # Resolve template path
@@ -241,11 +241,11 @@ class FrameProcessor:
         logger.debug(f"  4/4: Creating video segment for frame {frame.index}...")
         
         # Generate output path using task_id
-        from reelforge.utils.os_util import get_task_frame_path
+        from pixelle_video.utils.os_util import get_task_frame_path
         output_path = get_task_frame_path(config.task_id, frame.index, "segment")
         
         # Call video compositor to create video from image + audio
-        from reelforge.services.video import VideoService
+        from pixelle_video.services.video import VideoService
         video_service = VideoService()
         
         segment_path = video_service.create_video_from_image(
@@ -278,7 +278,7 @@ class FrameProcessor:
     
     async def _download_image(self, url: str, frame_index: int, task_id: str) -> str:
         """Download image from URL to local file"""
-        from reelforge.utils.os_util import get_task_frame_path
+        from pixelle_video.utils.os_util import get_task_frame_path
         output_path = get_task_frame_path(task_id, frame_index, "image")
         
         async with httpx.AsyncClient() as client:

pixelle_video/services/image.py

@@ -7,7 +7,7 @@ from typing import Optional
 from comfykit import ComfyKit
 from loguru import logger
 
-from reelforge.services.comfy_base_service import ComfyBaseService
+from pixelle_video.services.comfy_base_service import ComfyBaseService
 
 
 class ImageService(ComfyBaseService):
@@ -18,16 +18,16 @@ class ImageService(ComfyBaseService):
     
     Usage:
         # Use default workflow (workflows/image_flux.json)
-        image_url = await reelforge.image(prompt="a cat")
+        image_url = await pixelle_video.image(prompt="a cat")
         
         # Use specific workflow
-        image_url = await reelforge.image(
+        image_url = await pixelle_video.image(
             prompt="a cat",
             workflow="image_flux.json"
         )
         
         # List available workflows
-        workflows = reelforge.image.list_workflows()
+        workflows = pixelle_video.image.list_workflows()
     """
     
     WORKFLOW_PREFIX = "image_"
@@ -82,16 +82,16 @@ class ImageService(ComfyBaseService):
         
         Examples:
             # Simplest: use default workflow (workflows/image_flux.json)
-            image_url = await reelforge.image(prompt="a beautiful cat")
+            image_url = await pixelle_video.image(prompt="a beautiful cat")
             
             # Use specific workflow
-            image_url = await reelforge.image(
+            image_url = await pixelle_video.image(
                 prompt="a cat",
                 workflow="image_flux.json"
             )
             
             # With additional parameters
-            image_url = await reelforge.image(
+            image_url = await pixelle_video.image(
                 prompt="a cat",
                 workflow="image_flux.json",
                 width=1024,
@@ -101,13 +101,13 @@ class ImageService(ComfyBaseService):
             )
             
             # With absolute path
-            image_url = await reelforge.image(
+            image_url = await pixelle_video.image(
                 prompt="a cat",
                 workflow="/path/to/custom.json"
             )
             
             # With custom ComfyUI server
-            image_url = await reelforge.image(
+            image_url = await pixelle_video.image(
                 prompt="a cat",
                 comfyui_url="http://192.168.1.100:8188"
             )

pixelle_video/services/image_prompt_generator.py

@@ -8,21 +8,21 @@ from typing import List, Optional, Callable
 
 from loguru import logger
 
-from reelforge.models.storyboard import StoryboardConfig
+from pixelle_video.models.storyboard import StoryboardConfig
-from reelforge.prompts import build_image_prompt_prompt
+from pixelle_video.prompts import build_image_prompt_prompt
 
 
 class ImagePromptGeneratorService:
     """Image prompt generation service"""
     
-    def __init__(self, reelforge_core):
+    def __init__(self, pixelle_video_core):
         """
         Initialize
         
         Args:
-            reelforge_core: ReelForgeCore instance
+            pixelle_video_core: PixelleVideoCore instance
         """
-        self.core = reelforge_core
+        self.core = pixelle_video_core
     
     async def generate_image_prompts(
         self,
@@ -114,7 +114,7 @@ class ImagePromptGeneratorService:
         logger.info(f"✅ All batches completed. Total prompts: {len(base_prompts)}")
         
         # 5. Apply prompt prefix to each prompt
-        from reelforge.utils.prompt_helper import build_image_prompt
+        from pixelle_video.utils.prompt_helper import build_image_prompt
         
         # Get prompt prefix from config (fix: correct path is comfyui.image.prompt_prefix)
         image_config = self.core.config.get("comfyui", {}).get("image", {})

pixelle_video/services/llm_service.py

@@ -26,10 +26,10 @@ class LLMService:
     
     Usage:
         # Direct call
-        answer = await reelforge.llm("Explain atomic habits")
+        answer = await pixelle_video.llm("Explain atomic habits")
         
         # With parameters
-        answer = await reelforge.llm(
+        answer = await pixelle_video.llm(
             prompt="Explain atomic habits in 3 sentences",
             temperature=0.7,
             max_tokens=2000
@@ -121,10 +121,10 @@ class LLMService:
         
         Examples:
             # Use config from config.yaml
-            answer = await reelforge.llm("Explain atomic habits")
+            answer = await pixelle_video.llm("Explain atomic habits")
             
             # Override with custom parameters
-            answer = await reelforge.llm(
+            answer = await pixelle_video.llm(
                 prompt="Explain atomic habits in 3 sentences",
                 api_key="sk-custom-key",
                 base_url="https://api.custom.com/v1",
@@ -172,7 +172,7 @@ class LLMService:
             Active model name
         
         Example:
-            print(f"Using model: {reelforge.llm.active}")
+            print(f"Using model: {pixelle_video.llm.active}")
         """
         return self._get_config_value("model", "gpt-3.5-turbo")
     

pixelle_video/services/narration_generator.py

@@ -12,8 +12,8 @@ from typing import List, Optional, Literal
 
 from loguru import logger
 
-from reelforge.models.storyboard import StoryboardConfig, ContentMetadata
+from pixelle_video.models.storyboard import StoryboardConfig, ContentMetadata
-from reelforge.prompts import (
+from pixelle_video.prompts import (
     build_topic_narration_prompt,
     build_content_narration_prompt,
 )
@@ -22,14 +22,14 @@ from reelforge.prompts import (
 class NarrationGeneratorService:
     """Narration generation service"""
     
-    def __init__(self, reelforge_core):
+    def __init__(self, pixelle_video_core):
         """
         Initialize
         
         Args:
-            reelforge_core: ReelForgeCore instance (for calling llm)
+            pixelle_video_core: PixelleVideoCore instance (for calling llm)
         """
-        self.core = reelforge_core
+        self.core = pixelle_video_core
     
     async def generate_narrations(
         self,

pixelle_video/services/title_generator.py

@@ -24,14 +24,14 @@ class TitleGeneratorService:
     - llm: Always use LLM to generate title
     """
     
-    def __init__(self, reelforge_core):
+    def __init__(self, pixelle_video_core):
         """
         Initialize title generator service
         
         Args:
-            reelforge_core: ReelForgeCore instance
+            pixelle_video_core: PixelleVideoCore instance
         """
-        self.core = reelforge_core
+        self.core = pixelle_video_core
     
     async def __call__(
         self,
@@ -107,7 +107,7 @@ class TitleGeneratorService:
         Returns:
             LLM-generated title
         """
-        from reelforge.prompts import build_title_generation_prompt
+        from pixelle_video.prompts import build_title_generation_prompt
         
         # Build prompt using template
         prompt = build_title_generation_prompt(content, max_length=500)

pixelle_video/services/tts_service.py

@@ -7,7 +7,7 @@ from typing import Optional
 from comfykit import ComfyKit
 from loguru import logger
 
-from reelforge.services.comfy_base_service import ComfyBaseService
+from pixelle_video.services.comfy_base_service import ComfyBaseService
 
 
 class TTSService(ComfyBaseService):
@@ -18,16 +18,16 @@ class TTSService(ComfyBaseService):
     
     Usage:
         # Use default workflow
-        audio_path = await reelforge.tts(text="Hello, world!")
+        audio_path = await pixelle_video.tts(text="Hello, world!")
         
         # Use specific workflow
-        audio_path = await reelforge.tts(
+        audio_path = await pixelle_video.tts(
             text="你好，世界！",
             workflow="tts_edge.json"
         )
         
         # List available workflows
-        workflows = reelforge.tts.list_workflows()
+        workflows = pixelle_video.tts.list_workflows()
     """
     
     WORKFLOW_PREFIX = "tts_"
@@ -76,16 +76,16 @@ class TTSService(ComfyBaseService):
         
         Examples:
             # Simplest: use default workflow
-            audio_path = await reelforge.tts(text="Hello, world!")
+            audio_path = await pixelle_video.tts(text="Hello, world!")
             
             # Use specific workflow
-            audio_path = await reelforge.tts(
+            audio_path = await pixelle_video.tts(
                 text="你好，世界！",
                 workflow="tts_edge.json"
             )
             
             # With voice and speed
-            audio_path = await reelforge.tts(
+            audio_path = await pixelle_video.tts(
                 text="Hello",
                 workflow="tts_edge.json",
                 voice="[Chinese] zh-CN Xiaoxiao",
@@ -93,13 +93,13 @@ class TTSService(ComfyBaseService):
             )
             
             # With absolute path
-            audio_path = await reelforge.tts(
+            audio_path = await pixelle_video.tts(
                 text="Hello",
                 workflow="/path/to/custom_tts.json"
             )
             
             # With custom ComfyUI server
-            audio_path = await reelforge.tts(
+            audio_path = await pixelle_video.tts(
                 text="Hello",
                 comfyui_url="http://192.168.1.100:8188"
             )

pixelle_video/services/video_generator.py

@@ -10,8 +10,8 @@ from typing import Optional, Callable, Literal
 
 from loguru import logger
 
-from reelforge.models.progress import ProgressEvent
+from pixelle_video.models.progress import ProgressEvent
-from reelforge.models.storyboard import (
+from pixelle_video.models.storyboard import (
     Storyboard,
     StoryboardFrame,
     StoryboardConfig,
@@ -32,14 +32,14 @@ class VideoGeneratorService:
     5. Add BGM (optional)
     """
     
-    def __init__(self, reelforge_core):
+    def __init__(self, pixelle_video_core):
         """
         Initialize video generator service
         
         Args:
-            reelforge_core: ReelForgeCore instance
+            pixelle_video_core: PixelleVideoCore instance
         """
-        self.core = reelforge_core
+        self.core = pixelle_video_core
     
     async def __call__(
         self,
@@ -149,7 +149,7 @@ class VideoGeneratorService:
         
         Examples:
             # Generate mode: LLM creates narrations from topic
-            >>> result = await reelforge.generate_video(
+            >>> result = await pixelle_video.generate_video(
             ...     text="如何在信息爆炸时代保持深度思考",
             ...     mode="generate",
             ...     n_scenes=5,
@@ -161,7 +161,7 @@ class VideoGeneratorService:
             ... 第一个技巧是专注力训练，每天冥想10分钟
             ... 第二个技巧是主动回忆，学完立即复述
             ... 第三个技巧是间隔重复，学习后定期复习'''
-            >>> result = await reelforge.generate_video(
+            >>> result = await pixelle_video.generate_video(
             ...     text=script,
             ...     mode="fixed",
             ...     title="三个学习技巧"
@@ -190,7 +190,7 @@ class VideoGeneratorService:
                 logger.info(f"   Title: '{final_title}' (LLM-generated)")
         
         # ========== Step 0.5: Create isolated task directory ==========
-        from reelforge.utils.os_util import (
+        from pixelle_video.utils.os_util import (
             create_task_output_dir, 
             get_task_final_video_path
         )
@@ -352,7 +352,7 @@ class VideoGeneratorService:
             self._report_progress(progress_callback, "concatenating", 0.85)
             segment_paths = [frame.video_segment_path for frame in storyboard.frames]
             
-            from reelforge.services.video import VideoService
+            from pixelle_video.services.video import VideoService
             video_service = VideoService()
             
             final_video_path = video_service.concat_videos(

pixelle_video/utils/__init__.py

@@ -0,0 +1,3 @@
+"""
+Pixelle-Video utilities
+"""

pixelle_video/utils/os_util.py

@@ -1,7 +1,7 @@
 """
 OS utilities for file and path management
 
-Provides utilities for managing paths and files in ReelForge.
+Provides utilities for managing paths and files in Pixelle-Video.
 Inspired by Pixelle-MCP's os_util.py.
 """
 
@@ -12,9 +12,9 @@ from pathlib import Path
 from typing import Optional, Tuple, Literal
 
 
-def get_reelforge_root_path() -> str:
+def get_pixelle_video_root_path() -> str:
     """
-    Get ReelForge root path - current working directory
+    Get Pixelle-Video root path - current working directory
     
     Returns:
         Current working directory as string
@@ -22,14 +22,14 @@ def get_reelforge_root_path() -> str:
     return str(Path.cwd())
 
 
-def ensure_reelforge_root_path() -> str:
+def ensure_pixelle_video_root_path() -> str:
     """
-    Ensure ReelForge root path exists and return the path
+    Ensure Pixelle-Video root path exists and return the path
     
     Returns:
         Root path as string
     """
-    root_path = get_reelforge_root_path()
+    root_path = get_pixelle_video_root_path()
     root_path_obj = Path(root_path)
     output_dir = root_path_obj / 'output'
     output_dir.mkdir(parents=True, exist_ok=True)
@@ -39,7 +39,7 @@ def ensure_reelforge_root_path() -> str:
 
 def get_root_path(*paths: str) -> str:
     """
-    Get path relative to ReelForge root path
+    Get path relative to Pixelle-Video root path
     
     Args:
         *paths: Path components to join
@@ -51,7 +51,7 @@ def get_root_path(*paths: str) -> str:
         get_root_path("temp", "audio.mp3")
         # Returns: "/path/to/project/temp/audio.mp3"
     """
-    root_path = ensure_reelforge_root_path()
+    root_path = ensure_pixelle_video_root_path()
     if paths:
         return os.path.join(root_path, *paths)
     return root_path
@@ -59,7 +59,7 @@ def get_root_path(*paths: str) -> str:
 
 def get_temp_path(*paths: str) -> str:
     """
-    Get path relative to ReelForge temp folder
+    Get path relative to Pixelle-Video temp folder
     
     Args:
         *paths: Path components to join
@@ -79,7 +79,7 @@ def get_temp_path(*paths: str) -> str:
 
 def get_data_path(*paths: str) -> str:
     """
-    Get path relative to ReelForge data folder
+    Get path relative to Pixelle-Video data folder
     
     Args:
         *paths: Path components to join
@@ -99,7 +99,7 @@ def get_data_path(*paths: str) -> str:
 
 def get_output_path(*paths: str) -> str:
     """
-    Get path relative to ReelForge output folder
+    Get path relative to Pixelle-Video output folder
     
     Args:
         *paths: Path components to join

pyproject.toml

@@ -1,9 +1,9 @@
 [project]
-name = "reelforge"
+name = "pixelle-video"
 version = "0.1.0"
-description = "The modular video creation platform - Forge your perfect reel engine"
+description = "AI-powered video creation platform - Part of Pixelle ecosystem"
 authors = [
-    {name = "ReelForge Team"}
+    {name = "PixelleLab"}
 ]
 readme = "README.md"
 requires-python = ">=3.11"
@@ -34,7 +34,8 @@ dev = [
 ]
 
 [project.scripts]
-reelforge = "reelforge.cli:main"
+pixelle-video = "pixelle_video.cli:main"
+pvideo = "pixelle_video.cli:main"
 
 [build-system]
 requires = ["hatchling"]

reelforge/__init__.py

@@ -1,26 +0,0 @@
-"""
-ReelForge - AI-powered video generator
-
-Convention-based system with unified configuration management.
-
-Usage:
-    from reelforge import reelforge
-    
-    # Initialize
-    await reelforge.initialize()
-    
-    # Use capabilities
-    answer = await reelforge.llm("Explain atomic habits")
-    audio = await reelforge.tts("Hello world")
-    
-    # Generate video
-    result = await reelforge.generate_video(topic="AI in 2024")
-"""
-
-from reelforge.service import ReelForgeCore, reelforge
-from reelforge.config import config_manager
-
-__version__ = "0.1.0"
-
-__all__ = ["ReelForgeCore", "reelforge", "config_manager"]
-

reelforge/services/__init__.py

@@ -1,30 +0,0 @@
-"""
-ReelForge Services
-
-Unified service layer providing simplified access to capabilities.
-"""
-
-from reelforge.services.comfy_base_service import ComfyBaseService
-from reelforge.services.llm_service import LLMService
-from reelforge.services.tts_service import TTSService
-from reelforge.services.image import ImageService
-from reelforge.services.video import VideoService
-from reelforge.services.narration_generator import NarrationGeneratorService
-from reelforge.services.image_prompt_generator import ImagePromptGeneratorService
-from reelforge.services.title_generator import TitleGeneratorService
-from reelforge.services.frame_processor import FrameProcessor
-from reelforge.services.video_generator import VideoGeneratorService
-
-__all__ = [
-    "ComfyBaseService",
-    "LLMService",
-    "TTSService",
-    "ImageService",
-    "VideoService",
-    "NarrationGeneratorService",
-    "ImagePromptGeneratorService",
-    "TitleGeneratorService",
-    "FrameProcessor",
-    "VideoGeneratorService",
-]
-

reelforge/utils/__init__.py

@@ -1,3 +0,0 @@
-"""
-ReelForge utilities
-"""

restart_web.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
-# Restart ReelForge Web UI on port 8502
+# Restart Pixelle-Video Web UI on port 8502
 
-echo "🔄 Restarting ReelForge Web UI on port 8502..."
+echo "🔄 Restarting Pixelle-Video Web UI on port 8502..."
 echo ""
 
 # Check if config.yaml exists
@@ -28,7 +28,7 @@ if [ ! -z "$PID" ]; then
 fi
 
 # Start Streamlit in background with nohup
-echo "🚀 Starting ReelForge Web UI in background..."
+echo "🚀 Starting Pixelle-Video Web UI in background..."
 nohup uv run streamlit run web/app.py --server.port $PORT > nohup.out 2>&1 &
 
 # Wait a moment and check if the process started
@@ -36,12 +36,12 @@ sleep 2
 NEW_PID=$(lsof -ti:$PORT)
 
 if [ ! -z "$NEW_PID" ]; then
-    echo "✅ ReelForge Web UI started successfully!"
+    echo "✅ Pixelle-Video Web UI started successfully!"
     echo "📝 Process ID: $NEW_PID"
     echo "🌐 Access at: http://localhost:$PORT"
     echo "📄 Logs: nohup.out"
 else
-    echo "❌ Failed to start ReelForge Web UI"
+    echo "❌ Failed to start Pixelle-Video Web UI"
     echo "📄 Check nohup.out for error details"
     exit 1
 fi

start_web.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
-# Start ReelForge Web UI
+# Start Pixelle-Video Web UI
 
-echo "🚀 Starting ReelForge Web UI..."
+echo "🚀 Starting Pixelle-Video Web UI..."
 echo ""
 
 # Check if config.yaml exists

templates/default.html

@@ -527,7 +527,7 @@
                 <div class="author-desc">Open Source Omnimodal AI Creative Agent</div>
             </div>
             <div class="logo-section">
-                <div class="logo">ReelForge</div>
+                <div class="logo">Pixelle-Video</div>
                 <div class="logo-marks">
                     <div class="logo-mark"></div>
                     <div class="logo-mark active"></div>

templates/modern.html

@@ -558,7 +558,7 @@
                 <div class="author-desc">Open Source Omnimodal AI Creative Agent</div>
             </div>
             <div class="logo-wrapper">
-                <div class="logo">ReelForge</div>
+                <div class="logo">Pixelle-Video</div>
                 <div class="logo-dots">
                     <div class="logo-dot"></div>
                     <div class="logo-dot"></div>

templates/neon.html

@@ -923,7 +923,7 @@
       </div>
       <div class="slogan">Open Source Omnimodal AI Creative Agent</div>
       <div class="cta">
-        <div class="follow">ReelForge</div>
+        <div class="follow">Pixelle-Video</div>
         <div class="hashtags">
           <span>#AI创作</span>
           <span>#短视频</span>

uv.lock

@@ -1640,6 +1640,60 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/34/e7/ae39f538fd6844e982063c3a5e4598b8ced43b9633baa3a85ef33af8c05c/pillow-11.3.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:c84d689db21a1c397d001aa08241044aa2069e7587b398c8cc63020390b1c1b8", size = 6984598 },
 ]
 
+[[package]]
+name = "pixelle-video"
+version = "0.1.0"
+source = { editable = "." }
+dependencies = [
+    { name = "certifi" },
+    { name = "comfykit" },
+    { name = "edge-tts" },
+    { name = "fastapi" },
+    { name = "fastmcp" },
+    { name = "ffmpeg-python" },
+    { name = "html2image" },
+    { name = "httpx" },
+    { name = "loguru" },
+    { name = "openai" },
+    { name = "pillow" },
+    { name = "pydantic" },
+    { name = "python-multipart" },
+    { name = "pyyaml" },
+    { name = "streamlit" },
+    { name = "uvicorn", extra = ["standard"] },
+]
+
+[package.optional-dependencies]
+dev = [
+    { name = "pytest" },
+    { name = "pytest-asyncio" },
+    { name = "ruff" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "certifi", specifier = ">=2025.10.5" },
+    { name = "comfykit", specifier = ">=0.1.0" },
+    { name = "edge-tts", specifier = ">=7.2.3" },
+    { name = "fastapi", specifier = ">=0.115.0" },
+    { name = "fastmcp", specifier = ">=2.0.0" },
+    { name = "ffmpeg-python", specifier = ">=0.2.0" },
+    { name = "html2image", specifier = ">=2.0.7" },
+    { name = "httpx", specifier = ">=0.28.1" },
+    { name = "loguru", specifier = ">=0.7.0" },
+    { name = "openai", specifier = ">=2.6.0" },
+    { name = "pillow", specifier = ">=10.0.0,<12" },
+    { name = "pydantic", specifier = ">=2.0.0" },
+    { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.0.0" },
+    { name = "pytest-asyncio", marker = "extra == 'dev'", specifier = ">=0.23.0" },
+    { name = "python-multipart", specifier = ">=0.0.12" },
+    { name = "pyyaml", specifier = ">=6.0.0" },
+    { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.6.0" },
+    { name = "streamlit", specifier = ">=1.40.0" },
+    { name = "uvicorn", extras = ["standard"], specifier = ">=0.32.0" },
+]
+provides-extras = ["dev"]
+
 [[package]]
 name = "pluggy"
 version = "1.6.0"
@@ -2094,60 +2148,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/f1/12/de94a39c2ef588c7e6455cfbe7343d3b2dc9d6b6b2f40c4c6565744c873d/pyyaml-6.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b", size = 149341 },
 ]
 
-[[package]]
-name = "reelforge"
-version = "0.1.0"
-source = { editable = "." }
-dependencies = [
-    { name = "certifi" },
-    { name = "comfykit" },
-    { name = "edge-tts" },
-    { name = "fastapi" },
-    { name = "fastmcp" },
-    { name = "ffmpeg-python" },
-    { name = "html2image" },
-    { name = "httpx" },
-    { name = "loguru" },
-    { name = "openai" },
-    { name = "pillow" },
-    { name = "pydantic" },
-    { name = "python-multipart" },
-    { name = "pyyaml" },
-    { name = "streamlit" },
-    { name = "uvicorn", extra = ["standard"] },
-]
-
-[package.optional-dependencies]
-dev = [
-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "ruff" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "certifi", specifier = ">=2025.10.5" },
-    { name = "comfykit", specifier = ">=0.1.0" },
-    { name = "edge-tts", specifier = ">=7.2.3" },
-    { name = "fastapi", specifier = ">=0.115.0" },
-    { name = "fastmcp", specifier = ">=2.0.0" },
-    { name = "ffmpeg-python", specifier = ">=0.2.0" },
-    { name = "html2image", specifier = ">=2.0.7" },
-    { name = "httpx", specifier = ">=0.28.1" },
-    { name = "loguru", specifier = ">=0.7.0" },
-    { name = "openai", specifier = ">=2.6.0" },
-    { name = "pillow", specifier = ">=10.0.0,<12" },
-    { name = "pydantic", specifier = ">=2.0.0" },
-    { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.0.0" },
-    { name = "pytest-asyncio", marker = "extra == 'dev'", specifier = ">=0.23.0" },
-    { name = "python-multipart", specifier = ">=0.0.12" },
-    { name = "pyyaml", specifier = ">=6.0.0" },
-    { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.6.0" },
-    { name = "streamlit", specifier = ">=1.40.0" },
-    { name = "uvicorn", extras = ["standard"], specifier = ">=0.32.0" },
-]
-provides-extras = ["dev"]
-
 [[package]]
 name = "referencing"
 version = "0.36.2"

web/app.py

@@ -1,5 +1,5 @@
 """
-ReelForge Web UI
+Pixelle-Video Web UI
 
 A simple web interface for generating short videos from content.
 """
@@ -14,12 +14,12 @@ from loguru import logger
 
 # Import i18n and config manager
 from web.i18n import load_locales, set_language, tr, get_available_languages, get_language
-from reelforge.config import config_manager
+from pixelle_video.config import config_manager
-from reelforge.models.progress import ProgressEvent
+from pixelle_video.models.progress import ProgressEvent
 
 # Setup page config (must be first)
 st.set_page_config(
-    page_title="ReelForge - AI Video Generator",
+    page_title="Pixelle-Video - AI Video Generator",
     page_icon="🎬",
     layout="wide",
     initial_sidebar_state="collapsed",
@@ -62,19 +62,19 @@ def init_i18n():
 
 
 # ============================================================================
-# Initialize ReelForge
+# Initialize Pixelle-Video
 # ============================================================================
 
-def get_reelforge():
+def get_pixelle_video():
-    """Get initialized ReelForge instance (no caching - always fresh)"""
+    """Get initialized Pixelle-Video instance (no caching - always fresh)"""
-    from reelforge.service import ReelForgeCore
+    from pixelle_video.service import PixelleVideoCore
     
-    logger.info("Initializing ReelForge...")
+    logger.info("Initializing Pixelle-Video...")
-    reelforge = ReelForgeCore()
+    pixelle_video = PixelleVideoCore()
-    run_async(reelforge.initialize())
+    run_async(pixelle_video.initialize())
-    logger.info("ReelForge initialized")
+    logger.info("Pixelle-Video initialized")
     
-    return reelforge
+    return pixelle_video
 
 
 # ============================================================================
@@ -110,7 +110,7 @@ def render_advanced_settings():
                 st.markdown(f"**{tr('settings.llm.title')}**")
                 
                 # Quick preset selection
-                from reelforge.llm_presets import get_preset_names, get_preset, find_preset_by_base_url_and_model
+                from pixelle_video.llm_presets import get_preset_names, get_preset, find_preset_by_base_url_and_model
                 
                 # Custom at the end
                 preset_names = get_preset_names() + ["Custom"]
@@ -266,8 +266,8 @@ def render_advanced_settings():
         with col2:
             if st.button(tr("btn.reset_config"), use_container_width=True, key="reset_config_btn"):
                 # Reset to default
-                from reelforge.config.schema import ReelForgeConfig
+                from pixelle_video.config.schema import PixelleVideoConfig
-                config_manager.config = ReelForgeConfig()
+                config_manager.config = PixelleVideoConfig()
                 config_manager.save()
                 st.success(tr("status.config_reset"))
                 safe_rerun()
@@ -315,8 +315,8 @@ def main():
     with col2:
         render_language_selector()
     
-    # Initialize ReelForge
+    # Initialize Pixelle-Video
-    reelforge = get_reelforge()
+    pixelle_video = get_pixelle_video()
     
     # ========================================================================
     # System Configuration (Required)
@@ -443,7 +443,7 @@ def main():
                 st.markdown(tr("tts.how"))
             
             # Get available TTS workflows
-            tts_workflows = reelforge.tts.list_workflows()
+            tts_workflows = pixelle_video.tts.list_workflows()
             
             # Build options for selectbox
             tts_workflow_options = [wf["display_name"] for wf in tts_workflows]
@@ -486,7 +486,7 @@ def main():
                     with st.spinner(tr("tts.previewing")):
                         try:
                             # Generate preview audio using selected workflow (use default voice and speed)
-                            audio_path = run_async(reelforge.tts(
+                            audio_path = run_async(pixelle_video.tts(
                                 text=preview_text,
                                 workflow=tts_workflow_key
                             ))
@@ -522,8 +522,8 @@ def main():
                 st.markdown(f"**{tr('help.how')}**")
                 st.markdown(tr("style.workflow_how"))
             
-            # Get available workflows from reelforge (with source info)
+            # Get available workflows from pixelle_video (with source info)
-            workflows = reelforge.image.list_workflows()
+            workflows = pixelle_video.image.list_workflows()
             
             # Build options for selectbox
             # Display: "image_flux.json - Runninghub"
@@ -586,13 +586,13 @@ def main():
                 if st.button(tr("style.preview"), key="preview_style", use_container_width=True):
                     with st.spinner(tr("style.previewing")):
                         try:
-                            from reelforge.utils.prompt_helper import build_image_prompt
+                            from pixelle_video.utils.prompt_helper import build_image_prompt
                             
                             # Build final prompt with prefix
                             final_prompt = build_image_prompt(test_prompt, prompt_prefix)
                             
                             # Generate preview image (small size for speed)
-                            preview_image_path = run_async(reelforge.image(
+                            preview_image_path = run_async(pixelle_video.image(
                                 prompt=final_prompt,
                                 workflow=workflow_key,
                                 width=512,
@@ -707,7 +707,7 @@ def main():
                 if st.button(tr("template.preview_button"), key="btn_preview_template", use_container_width=True):
                     with st.spinner(tr("template.preview_generating")):
                         try:
-                            from reelforge.services.frame_html import HTMLFrameGenerator
+                            from pixelle_video.services.frame_html import HTMLFrameGenerator
                             
                             # Use the currently selected template
                             template_path = f"templates/{frame_template}"
@@ -801,7 +801,7 @@ def main():
                         progress_bar.progress(min(int(event.progress * 100), 99))  # Cap at 99% until complete
                     
                     # Generate video (directly pass parameters)
-                    result = run_async(reelforge.generate_video(
+                    result = run_async(pixelle_video.generate_video(
                         text=text,
                         mode=mode,
                         title=title if title else None,

web/i18n/__init__.py

@@ -1,5 +1,5 @@
 """
-International language support for ReelForge Web UI
+International language support for Pixelle-Video Web UI
 """
 
 import json
@@ -64,7 +64,7 @@ def tr(key: str, fallback: Optional[str] = None, **kwargs) -> str:
         Translated text
     
     Example:
-        tr("app.title")  # => "ReelForge"
+        tr("app.title")  # => "Pixelle-Video"
         tr("error.missing_field", field="API Key")  # => "请填写 API Key"
     """
     locale = _locales.get(_current_language, {})

web/i18n/locales/en_US.json

@@ -1,8 +1,8 @@
 {
   "language_name": "English",
   "t": {
-    "app.title": "⚡ ReelForge - AI Auto Short Video Engine",
+    "app.title": "⚡ Pixelle-Video - AI Auto Short Video Engine",
-    "app.subtitle": "Forge your perfect reel engine",
+    "app.subtitle": "Powered by Pixelle AI",
     
     "section.content_input": "📖 Content Input",
     "section.bgm": "🎵 Background Music",
@@ -78,7 +78,7 @@
     "template.preview_param_width": "Width",
     "template.preview_param_height": "Height",
     "template.preview_default_title": "AI Changes Content Creation",
-    "template.preview_default_text": "Artificial intelligence is transforming the way we create content, making it easy for everyone to produce professional-grade videos.",
+    "template.preview_default_text": "Artificial intelligence is transforming the way PixelleLab creates content, making it easy for everyone to produce professional-grade videos.",
     "template.preview_button": "🖼️ Generate Preview",
     "template.preview_generating": "Generating template preview...",
     "template.preview_success": "✅ Preview generated successfully!",
@@ -172,7 +172,7 @@
     "tts.preview_success": "✅ Preview generated successfully!",
     "tts.preview_failed": "❌ Preview failed: {error}",
     
-    "welcome.first_time": "🎉 Welcome to ReelForge! Please complete basic configuration",
+    "welcome.first_time": "🎉 Welcome to Pixelle-Video! Please complete basic configuration",
     "welcome.config_hint": "💡 First-time setup requires API Key configuration, you can modify it in advanced settings later",
     
     "wizard.llm_required": "🤖 Large Language Model Configuration (Required)",

web/i18n/locales/zh_CN.json

@@ -1,7 +1,7 @@
 {
   "language_name": "简体中文",
   "t": {
-    "app.title": "⚡ ReelForge - AI 全自动短视频引擎",
+    "app.title": "⚡ Pixelle-Video - AI 全自动短视频引擎",
     "app.subtitle": "打造专属你的视频创作引擎",
     
     "section.content_input": "📖 内容输入",
@@ -172,7 +172,7 @@
     "tts.preview_success": "✅ 预览生成成功！",
     "tts.preview_failed": "❌ 预览失败：{error}",
     
-    "welcome.first_time": "🎉 欢迎使用 ReelForge！请先完成基础配置",
+    "welcome.first_time": "🎉 欢迎使用 Pixelle-Video！请先完成基础配置",
     "welcome.config_hint": "💡 首次使用需要配置 API Key，后续可以在高级设置中修改",
     
     "wizard.llm_required": "🤖 大语言模型配置（必需）",