ComfyUIFlowFields
Flow field + particle trails custom node for ComfyUI
Quick Technical Summary: ComfyUIFlowFields
- Base VRAM Footprint:
- 2048 MB (6 GB Tier)
- Primary Dependencies:
- numpy>=1.20, pillow>=9.0, torch>=2.0
- Min PyTorch / CUDA:
- PyTorch 2.0 | CUDA 12.1+
- GitHub Repository:
- https://github.com/javierjarart/ComfyUIFlowFields
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does ComfyUIFlowFields require?
Direct Answer: The ComfyUI node ComfyUIFlowFields requires a minimum base VRAM of 2048MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 2048MB (2.0GB)
- Recommended GPU:
- 6GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Struggling with VRAM Crashes or Out-of-Memory Errors?
Running heavy models like FLUX or SDXL with ComfyUIFlowFields? If you experience torch.cuda.OutOfMemoryError or driver timeouts, read our comprehensive troubleshooting guide to configure launch flags, enable tiled decoding, and avoid crashes.
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for ComfyUIFlowFields:
What Python packages are required for ComfyUIFlowFields?
Direct Answer: Running ComfyUIFlowFields requires installing the following Python package dependencies: numpy>=1.20, pillow>=9.0, torch>=2.0. This node specifically requires PyTorch version 2.0 or newer.
numpy>=1.20
pillow>=9.0
torch>=2.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0+.
# Loading PyTorch command...Universal Architecture Compatibility
ComfyUIFlowFields operates as a general-purpose processor without binding directly to a single checkpoint architecture. It can be paired across Stable Diffusion 1.5, SDXL, FLUX, and video diffusion pipelines.
Frequently Asked Questions
How much VRAM does ComfyUIFlowFields require?
ComfyUIFlowFields requires a minimum of 2048MB (2.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUIFlowFields on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom
How much VRAM does ComfyUIFlowFields take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), ComfyUIFlowFields runs smoothly on an RTX 3060 (12GB) with 8.8GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 19.6GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
What PyTorch version does ComfyUIFlowFields need?
ComfyUIFlowFields requires the following PyTorch-related packages: torch>=2.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for ComfyUIFlowFields?
To run ComfyUIFlowFields, you need to install: numpy>=1.20, pillow>=9.0, torch>=2.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUIFlowFields?
ComfyUIFlowFields supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install ComfyUIFlowFields in ComfyUI?
To install ComfyUIFlowFields: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/javierjarart/ComfyUIFlowFields, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.
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