Update GhostPackDemo/readme.md

GhostPackDemo/readme.md

@@ -1,5 +1,5 @@
 # 👻🎬 GhostPackDemo · Apache-2.0  
-Generate cinematic **30 FPS** AI videos from a single image—runs locally on your GPU with ease.  
+Create stunning **30 FPS** AI videos from a single image with local GPU processing.  
 [![Python](https://img.shields.io/badge/python-3.8%2B-blue?logo=python)](https://python.org)  
 [![License](https://img.shields.io/badge/license-Apache%202.0-green)](LICENSE)  
 [![HF Space](https://img.shields.io/badge/🤗%20Spaces-Live%20Demo-orange)](https://huggingface.co/spaces/ghostai1/GhostPackDemo)  
@@ -7,90 +7,36 @@ Generate cinematic **30 FPS** AI videos from a single image—runs locally on yo
 ---
 
 ## Overview  
-GhostPackDemo integrates **HunyuanVideo** and **FramePack** into a streamlined GPU pipeline (`ghostpack_main_fixed.py`) with a user-friendly **Gradio** UI. Create photorealistic videos using GPUs with ≥6GB VRAM, optimized for 8GB RAM laptops.  
+GhostPackDemo combines **HunyuanVideo** and **FramePack** into a single GPU pipeline (`ghostpack_main_fixed.py`) with an intuitive **Gradio** UI. Perfect for generating photorealistic videos on GPUs with ≥6GB VRAM, tailored for 8GB RAM laptops.  
 
 ## Features  
-- **Veo 3-Level AI**: Delivers hyper-realistic videos with next-frame prediction and smooth transitions.  
-- **Phantom Speed**: Teacache reduces rendering time by ~40% (~12-15s/frame on RTX 3060).  
-- **Laptop Domination**: Supports 13B models on ≥6GB VRAM GPUs (e.g., RTX 3060).  
-- **Custom Workflows**: Adjust frame length, batch size, and prompts to suit your creativity.  
-- **Live Preview**: View real-time frame previews in ghostgradio.py.  
-- **Open Source**: Enhanced by community contributions under Apache 2.0.  
+- **Veo 3-Level AI**: Produces hyper-realistic videos with seamless next-frame prediction.  
+- **Phantom Speed**: Teacache boosts speed by ~40% (~12-15s/frame on RTX 3060).  
+- **Laptop-Friendly**: Runs 13B models on ≥6GB VRAM GPUs (e.g., RTX 3060).  
+- **Customizable Workflows**: Fine-tune frame length, batch size, and prompts.  
+- **Live Preview**: Real-time frame previews via ghostgradio.py.  
+- **Open Source**: Community-supported under Apache 2.0.  
 
 ## Optimizations  
-- **Speed**:  
-  - Teacache: ~40% faster (\( T_{\text{total}} \approx 0.6 \cdot T_{\text{base}} \)).  
-  - Sage-Attention: ~5-10% faster (\( T_{\text{attn}} \approx 0.9 \cdot T_{\text{base_attn}} \)).  
-  - CUDA Tweaks: ~10-15% latency reduction (\( L_{\text{CUDA}} \approx 0.85 \cdot L_{\text{base}} \)).  
-  - Dynamic Scheduling: ~15-20% task time reduction (\( T_{\text{sched}} \approx 0.8 \cdot T_{\text{base_sched}} \)).  
-- **Memory**:  
-  - Context Packing: ~50% VRAM save (\( M_{\text{VRAM}} \propto O(1) \)).  
-  - tcmalloc: ~5-20% overhead reduction (\( O_{\text{mem}} \approx 0.8 \cdot O_{\text{glibc}} \)).  
-  - Memory Cache: ~25% fewer swaps (\( M_{\text{swap}} \approx 0.75 \cdot M_{\text{base_swap}} \)).  
-- **Compute**:  
-  - Dynamic Batching: ~30-50% throughput increase (\( \text{Throughput} \propto B \cdot \text{FPS}_{\text{base}} \)).  
-- **Efficiency**:  
-  - Power Optimization: ~20-30% power save (\( P_{\text{idle}} \approx 0.7 \cdot P_{\text{base_idle}} \)).  
-  - Thread Tuning: ~10-15% CPU boost (\( C_{\text{thread}} \approx 0.85 \cdot C_{\text{base_thread}} \)).  
-- **VRAM Requirements**: GTX 1650 (6GB, ~18-25s/frame), RTX 3050 (8GB, ~15-20s/frame), RTX 3060 (12GB, ~10-15s/frame), RTX 4090 (24GB, ~1.5-2.5s/frame).  
+- **Speed**: Teacache (~40% faster, \( T_{\text{total}} \approx 0.6 \cdot T_{\text{base}} \)), Sage-Attention (~5-10% faster, \( T_{\text{attn}} \approx 0.9 \cdot T_{\text{base_attn}} \)), CUDA Tweaks (~10-15% latency reduction, \( L_{\text{CUDA}} \approx 0.85 \cdot L_{\text{base}} \)), Dynamic Scheduling (~15-20% task time reduction, \( T_{\text{sched}} \approx 0.8 \cdot T_{\text{base_sched}} \)).  
+- **Memory**: Context Packing (~50% VRAM save, \( M_{\text{VRAM}} \propto O(1) \)), tcmalloc (~5-20% overhead reduction, \( O_{\text{mem}} \approx 0.8 \cdot O_{\text{glibc}} \)), Memory Cache (~25% fewer swaps, \( M_{\text{swap}} \approx 0.75 \cdot M_{\text{base_swap}} \)).  
+- **Compute**: Dynamic Batching (~30-50% throughput increase, \( \text{Throughput} \propto B \cdot \text{FPS}_{\text{base}} \)).  
+- **Efficiency**: Power Optimization (~20-30% power save, \( P_{\text{idle}} \approx 0.7 \cdot P_{\text{base_idle}} \)), Thread Tuning (~10-15% CPU boost, \( C_{\text{thread}} \approx 0.85 \cdot C_{\text{base_thread}} \)).  
+- **VRAM Needs**: GTX 1650 (6GB, ~18-25s/frame), RTX 3050 (8GB, ~15-20s/frame), RTX 3060 (12GB, ~10-15s/frame), RTX 4090 (24GB, ~1.5-2.5s/frame).  
 
 ## Demo  
-Experience GhostPack’s spectral video generation with a neon-lit spectral battle scene sample. [More Demos](https://github.com/ghostai1/GhostPack/blob/main/demo_videos).  
+See GhostPack’s magic with a neon-lit spectral battle scene video. [More Demos](https://github.com/ghostai1/GhostPack/blob/main/demo_videos).  
 
 ## Future  
-- **Voice Generation**: AI-driven voice synthesis for narrated videos.  
-- **AI Images**: High-quality starting frames with AI visuals.  
-- **VR Integration**: Future support for VR video rendering.  
+- **Voice Generation**: Add AI-synthesized voices for narrated videos.  
+- **AI Images**: Create high-quality starting frames with AI.  
+- **VR Integration**: Plan for VR video rendering support.  
 
 ## Installation & How-To  
-Requires >30GB disk, compatible hardware. Ubuntu: bash git clone https://github.com/ghostai1/GhostPack cd GhostPack chmod +x install_ubuntu.sh ./install_ubuntu.sh (NVIDIA GPU, 8GB RAM, Python 3.10, CUDA 12.6) Windows: bash git clone https://github.com/ghostai1/GhostPack cd GhostPack install.bat (Auto-downloads >30GB models, needs NVIDIA drivers) macOS: bash git clone https://github.com/ghostai1/GhostPack cd GhostPack chmod +x install_macos.sh ./install_macos.sh (M1/M2 support, slower with Metal) How-To: Launch GUI: bash source ~/ghostpack_venv/venv/bin/activate cd ~/ghostpack_venv python ghostgradio.py --port 5666 --server 0.0.0.0 Craft Spells: Upload an image, use prompt “A spectral figure glides through a neon-lit city,” enable teacache, set 15fps, 5s video. Summon Spirits: Monitor with nvidia-smi (~80-100% GPU usage). Export Results: Save MP4 with adjustable CRF (0-100). Latest Release: [Link](https://github.com/ghostai1/GhostPack/releases).  
-
-## Community  
-- **Discord**: [Join Now](https://discord.gg/ghostpack) for support.  
-- **Report Issues**: [Link](https://github.com/ghostai1/GhostPack/issues).  
-
-## Technical Deep Dive  
-- **Architecture**: Built on HunyuanVideo and FramePackI2V_HY with LlamaModel and CLIPTextModel.  
-- **Pipeline**: Uses k-diffusion with unipc for high-quality frame generation.  
-- **Wiki**: [Link](https://github.com/ghostai1/GhostPack/wiki).  
-
-## FAQ  
-- **Hardware**: Minimum 6GB VRAM (GTX 1650), 8GB RAM; Optimal 12GB VRAM (RTX 3060).  
-- **Install**: Clone and run the appropriate install script (e.g., ./install_ubuntu.sh).  
-- **Contribute**: Yes, see Contributing Guidelines.  
-
-## Tutorials  
-- **Getting Started**: [View](https://github.com/ghostai1/GhostPack/wiki/Getting-Started).  
-- **Advanced Configuration**: [View](https://github.com/ghostai1/GhostPack/wiki/Advanced-Configuration).  
-- **Video Export Tips**: [View](https://github.com/ghostai1/GhostPack/wiki/Video-Export-Tips).  
-- **More Tutorials**: [Link](https://github.com/ghostai1/GhostPack/wiki/Tutorials).  
-
-## Contribute  
-- Fork the repository, create a branch, submit pull requests, follow wiki standards, and test with ghostgradio.py.  
-- **Guidelines**: [Link](https://github.com/ghostai1/GhostPack/blob/main/CONTRIBUTING.md).  
-
-## Screenshots  
-- **Main Interface**:  
-  <p align="center">
-    <img src="https://cdn-uploads.huggingface.co/production/uploads/6421b1c68adc8881b974a89d/7ABE2lOA4LOUtPfh1mhxP.png" alt="Main Interface" style="max-width:100%; height:auto;">
-  </p>  
-- **Advanced Settings**:  
-  <p align="center">
-    <img src="https://cdn-uploads.huggingface.co/production/uploads/6421b1c68adc8881b974a89d/9qNVRX2eM2iCY8xQKcOwW.png" alt="Advanced Settings" style="max-width:100%; height:auto;">
-  </p>  
-- **Logs Display**:  
-  <p align="center">
-    <img src="https://cdn-uploads.huggingface.co/production/uploads/6421b1c68adc8881b974a89d/--fIS9ITg4-VqN22ySoa2.png" alt="Logs Display" style="max-width:100%; height:auto;">
-  </p>  
-Add your own to showcase projects!  
-
-## Latest Files  
-- **Latest File**: [ghostgradio.py](https://github.com/ghostai1/GhostPack/blob/main/ghostgradio.py).  
-- **Logs**: [View](https://github.com/ghostai1/GhostPack/tree/main/outputs).  
-- **Refresh Repo**: [Link](https://github.com/ghostai1/GhostPack) | **Refresh Logs**: [Link](https://github.com/ghostai1/GhostPack/tree/main/outputs).  
-
-## License  
-Distributed under Apache 2.0. See [LICENSE](LICENSE) for details.  
-
-👻 GhostPack by ghostai1 | [GitHub](https://github.com/ghostai1/GhostPack) | [Hugging Face](https://huggingface.co/spaces/ghostai1/GhostPack)  
-Created 07:31 PM CDT, June 11, 2025 😈⚡️
+Needs >30GB disk space and compatible hardware.  
+- **Ubuntu**:  
+  ```bash
+  git clone https://github.com/ghostai1/GhostPack
+  cd GhostPack
+  chmod +x install_ubuntu.sh
+  ./install_ubuntu.sh