4.8 KiB
4.8 KiB
ComfyUI - QwenVL-Mod Custom Pod - RTX 5090
Custom ComfyUI environment with conda-based setup, optimized for RTX 5090 with QwenVL-Mod enhanced vision-language capabilities and WAN 2.2 video generation.
Template: Custom-ComfyUI-WAN2.2-Qwen3VL-RTX5090 - Conda Environment
🎯 Who is this for?
- AI Video Creators wanting professional WAN 2.2 video generation
- Content Creators needing multilingual prompt processing
- Digital Artists requiring visual style detection and enhancement
- ML Engineers deploying production-ready video workflows
- Researchers experimenting with vision-language models
🚀 Features
🎬 WAN 2.2 Video Generation
- Text-to-Video (T2V): Professional 5-second video generation
- Image-to-Video (I2V): Advanced image animation with style detection
- Storyboard Workflows: Seamless storyboard generation
🌐 Enhanced Capabilities
- Multilingual Support: Process prompts from any language
- Visual Style Detection: 12+ artistic styles (anime, 3D, pixel art, etc.)
- GGUF Backend: Efficient local model inference
- NSFW Support: Comprehensive content generation
- JupyterLab Terminal: Direct bash access in conda environment
⚡ Custom Pod Optimizations
- RTX 5090 Optimized: CUDA 12.8 for maximum performance
- Dedicated Conda Environment: Python 3.12.12 isolated setup
- FP16 Accumulation: Faster mixed precision computation
- Sage Attention: Optimized attention mechanisms for WAN2.2
- Async Offload: Efficient memory management
- FP8 Support: Latest hardware acceleration
- TensorRT Support: Advanced upscaling and interpolation
📦 Pre-installed Components
Custom Conda Environment
- Dedicated Conda Setup: Isolated Python 3.12.12 environment
- CUDA 12.8 Toolkit: Optimized for RTX 5090
- Custom Dependencies: Tailored package versions
Custom Nodes (26+)
- ComfyUI-QwenVL-Mod: Enhanced vision-language with WAN 2.2
- ComfyUI-Manager: Node and model management
- ComfyUI-GGUF: GGUF model support
- ComfyUI-VideoHelperSuite: Video processing utilities
- ComfyUI-Impact-Pack: Advanced functionality
- ComfyUI-RunpodDirect: RunPod-specific optimizations
- ComfyUI-Upscaler-Tensorrt: TensorRT upscaling support
- ComfyUI-RIFE-TensorRT-Auto: TensorRT frame interpolation
- PainterI2V Series: Professional image-to-video workflows
- ComfyUI-MMAudio: Audio processing
- ComfyUI-VFI: Video frame interpolation
Workflows Included (13)
- WAN 2.2 T2V: Text-to-video with automatic prompt optimization
- WAN 2.2 I2V: Image-to-video with style detection and enhancement
- WAN 2.2 T2V GGUF: Efficient text-to-video with GGUF models
- WAN 2.2 I2V GGUF: Optimized image-to-video with GGUF
- WAN 2.2 SVI: Storyboard-to-video with narrative enhancement
- WAN 2.2 SVI GGUF: Storyboard workflows with GGUF optimization
- WAN 2.2 Full MMAudio: Complete audio-video integration
- WAN 2.2 Full MMAudio GGUF: Audio-video with GGUF efficiency
- WAN 2.2 T2V-I2V MMAudio: Hybrid text/image-to-video
- AutoPrompt Story: Narrative generation with Qwen3-VL
- PMP LoRaStack: Professional upscaling with wildcards
🛠️ Technical Specifications
System Requirements
- GPU: RTX 5090 (optimized for this card)
- CUDA: 12.8 compatible
- Memory: 32GB+ VRAM recommended
- Storage: 100GB+ SSD for models and workflows
Custom Pod Benefits
- Dedicated Environment: Isolated conda setup prevents conflicts
- Optimized Dependencies: Custom-tailored package versions
- Enhanced Performance: RTX 5090 specific optimizations
- Full Control: Complete environment management
🚀 Quick Start
-
Deploy Template: Select "Custom-ComfyUI-WAN2.2-Qwen3VL-RTX5090"
-
Wait for Setup: Automatic conda environment initialization (~5-10 minutes)
-
Access Services:
- ComfyUI:
http://your-pod-ip:8188 - JupyterLab:
http://your-pod-ip:8888 - FileBrowser:
http://your-pod-ip:8080 - SSH:
ssh root@your-pod-ip
- ComfyUI:
-
Start Creating: Load pre-installed workflows and begin generating
🔧 Environment Variables
COMFYUI_ARGS: ComfyUI startup parametersLIGHTNING_THEME: JupyterLab theme (light/dark)CONDA_ENV: Conda environment name (comfyui)
📚 Documentation
- ComfyUI-QwenVL-Mod: Repository documentation
- WAN 2.2 Paper: Technical specifications
- Conda Docs: Environment management
🆘 Support
- Template Issues: GitHub repository issues
- ComfyUI Help: ComfyUI community resources
- Conda Support: Environment troubleshooting
Custom-Built Pod - Dedicated conda environment with RTX 5090 optimizations for maximum performance.