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# 👻🎬 GhostPackDemo · Apache-2.0
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Generate cinematic **30 FPS** AI videos from a single image—runs locally on your GPU.
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[](https://python.org)
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[](LICENSE)
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[](https://huggingface.co/spaces/ghostai1/GhostPackDemo)
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---
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## ⚡ Showcase
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6421b1c68adc8881b974a89d/k8pgUlg4OvdUZpbMNTcp5.gif" alt="GhostPack demo GIF" style="max-width:100%; height:auto;">
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</p>
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---
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##
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GhostPackDemo
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---
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##
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- **Veo 3-Level AI**:
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- **Phantom Speed**: Teacache
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- **Laptop Domination**: Supports 13B models on ≥6GB VRAM GPUs (e.g., RTX 3060).
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- **Custom Workflows**:
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- **Live Preview**:
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- **Open Source**:
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## 3 · Optimizations
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- **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, \( T_{\text{sched}} \approx 0.8 \cdot T_{\text{base_sched}} \)).
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- **Memory**: Context Packing (~50% VRAM save, \( M_{\text{VRAM}} \propto O(1) \)), tcmalloc (~5-20% overhead, \( O_{\text{mem}} \approx 0.8 \cdot O_{\text{glibc}} \)), Memory Cache (~25% fewer swaps, \( M_{\text{swap}} \approx 0.75 \cdot M_{\text{base_swap}} \)).
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- **Compute**: Dynamic Batching (~30-50% throughput, \( \text{Throughput} \propto B \cdot \text{FPS}_{\text{base}} \)).
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- **Efficiency**: Power Optimization (~20-30% power save, \( P_{\text{idle}} \approx 0.7 \cdot P_{\text{base_idle}} \)), Thread Tuning (~10-15% CPU boost, \( C_{\text{thread}} \approx 0.85 \cdot C_{\text{base_thread}} \)).
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- **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).
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---
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##
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## 5 · Future
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- **Voice Generation**: AI-driven voice synthesis for narrated videos.
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- **AI Images**: High-quality starting frames with AI visuals.
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- **VR Integration**: Future VR video rendering
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---
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##
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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 image, 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 CRF 0-100. Latest Release: [Link](https://github.com/ghostai1/GhostPack/releases).
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---
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## 8 · Technical Deep Dive
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Architecture: Built on HunyuanVideo and FramePackI2V_HY with LlamaModel and CLIPTextModel. Pipeline: k-diffusion with unipc for high-quality frame generation. Wiki: [Link](https://github.com/ghostai1/GhostPack/wiki).
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---
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## 9 · FAQ
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Hardware: Minimum 6GB VRAM (GTX 1650), 8GB RAM; Optimal 12GB VRAM (RTX 3060). Install: Clone and run appropriate install script (e.g., ./install_ubuntu.sh). Contribute: Yes, see Contributing Guidelines.
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##
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##
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- **Main Interface**:
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6421b1c68adc8881b974a89d/7ABE2lOA4LOUtPfh1mhxP.png" alt="Main Interface" style="max-width:100%; height:auto;">
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@@ -95,17 +73,15 @@ Fork repo, create branch, submit PRs, follow wiki standards, test with ghostgrad
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6421b1c68adc8881b974a89d/--fIS9ITg4-VqN22ySoa2.png" alt="Logs Display" style="max-width:100%; height:auto;">
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</p>
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Add your own to showcase projects!
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---
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##
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Distributed under Apache 2.0. See [LICENSE](LICENSE) for details.
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👻 GhostPack by ghostai1 | [GitHub](https://github.com/ghostai1/GhostPack) | [Hugging Face](https://huggingface.co/spaces/ghostai1/GhostPack)
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Created 07:
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# 👻🎬 GhostPackDemo · Apache-2.0
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Generate cinematic **30 FPS** AI videos from a single image—runs locally on your GPU with ease.
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[](https://python.org)
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[](LICENSE)
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[](https://huggingface.co/spaces/ghostai1/GhostPackDemo)
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## Overview
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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.
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## Features
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- **Veo 3-Level AI**: Delivers hyper-realistic videos with next-frame prediction and smooth transitions.
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- **Phantom Speed**: Teacache reduces rendering time by ~40% (~12-15s/frame on RTX 3060).
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- **Laptop Domination**: Supports 13B models on ≥6GB VRAM GPUs (e.g., RTX 3060).
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- **Custom Workflows**: Adjust frame length, batch size, and prompts to suit your creativity.
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- **Live Preview**: View real-time frame previews in ghostgradio.py.
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- **Open Source**: Enhanced by community contributions under Apache 2.0.
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## Optimizations
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- **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, \( T_{\text{sched}} \approx 0.8 \cdot T_{\text{base_sched}} \)).
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- **Memory**: Context Packing (~50% VRAM save, \( M_{\text{VRAM}} \propto O(1) \)), tcmalloc (~5-20% overhead, \( O_{\text{mem}} \approx 0.8 \cdot O_{\text{glibc}} \)), Memory Cache (~25% fewer swaps, \( M_{\text{swap}} \approx 0.75 \cdot M_{\text{base_swap}} \)).
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- **Compute**: Dynamic Batching (~30-50% throughput, \( \text{Throughput} \propto B \cdot \text{FPS}_{\text{base}} \)).
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- **Efficiency**: Power Optimization (~20-30% power save, \( P_{\text{idle}} \approx 0.7 \cdot P_{\text{base_idle}} \)), Thread Tuning (~10-15% CPU boost, \( C_{\text{thread}} \approx 0.85 \cdot C_{\text{base_thread}} \)).
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- **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).
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## Demo
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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).
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## Future
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- **Voice Generation**: AI-driven voice synthesis for narrated videos.
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- **AI Images**: High-quality starting frames with AI visuals.
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- **VR Integration**: Future support for VR video rendering.
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## Installation & How-To
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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).
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## Community
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- **Discord**: [Join Now](https://discord.gg/ghostpack) for support.
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- **X**: [Visit X](https://x.com/search?q=ghostpack) for news.
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- **Report Issues**: [Link](https://github.com/ghostai1/GhostPack/issues).
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## Technical Deep Dive
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- **Architecture**: Built on HunyuanVideo and FramePackI2V_HY with LlamaModel and CLIPTextModel.
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- **Pipeline**: Uses k-diffusion with unipc for high-quality frame generation.
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- **Wiki**: [Link](https://github.com/ghostai1/GhostPack/wiki).
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## FAQ
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- **Hardware**: Minimum 6GB VRAM (GTX 1650), 8GB RAM; Optimal 12GB VRAM (RTX 3060).
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- **Install**: Clone and run the appropriate install script (e.g., ./install_ubuntu.sh).
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- **Contribute**: Yes, see Contributing Guidelines.
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## Tutorials
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- **Getting Started**: [View](https://github.com/ghostai1/GhostPack/wiki/Getting-Started).
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- **Advanced Configuration**: [View](https://github.com/ghostai1/GhostPack/wiki/Advanced-Configuration).
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- **Video Export Tips**: [View](https://github.com/ghostai1/GhostPack/wiki/Video-Export-Tips).
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- **More Tutorials**: [Link](https://github.com/ghostai1/GhostPack/wiki/Tutorials).
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## Contribute
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- Fork the repository, create a branch, submit pull requests, follow wiki standards, and test with ghostgradio.py.
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- **Guidelines**: [Link](https://github.com/ghostai1/GhostPack/blob/main/CONTRIBUTING.md).
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## Screenshots
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- **Main Interface**:
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6421b1c68adc8881b974a89d/7ABE2lOA4LOUtPfh1mhxP.png" alt="Main Interface" style="max-width:100%; height:auto;">
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6421b1c68adc8881b974a89d/--fIS9ITg4-VqN22ySoa2.png" alt="Logs Display" style="max-width:100%; height:auto;">
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</p>
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Add your own to showcase projects!
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## Latest Files
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- **Latest File**: [ghostgradio.py](https://github.com/ghostai1/GhostPack/blob/main/ghostgradio.py).
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- **Logs**: [View](https://github.com/ghostai1/GhostPack/tree/main/outputs).
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- **Refresh Repo**: [Link](https://github.com/ghostai1/GhostPack) | **Refresh Logs**: [Link](https://github.com/ghostai1/GhostPack/tree/main/outputs).
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## License
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Distributed under Apache 2.0. See [LICENSE](LICENSE) for details.
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👻 GhostPack by ghostai1 | [GitHub](https://github.com/ghostai1/GhostPack) | [Hugging Face](https://huggingface.co/spaces/ghostai1/GhostPack)
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Created 07:23 PM CDT, June 11, 2025 😈⚡️
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