Refocus - Generative Refocusing
ComfyUI nodes for Genfocus generative refocusing. Features DeblurNet (restore all-in-focus images), BokehNet (create realistic depth-of-field/bokeh effects), DepthPro depth estimation, and defocus map utilities. Uses FLUX.1-dev with specialized LoRA adapters.
Quick Technical Summary: Refocus - Generative Refocusing
- Base VRAM Footprint:
- 12288 MB (24 GB Tier)
- Primary Dependencies:
- matplotlib>=3.5.0, numpy>=1.24.0, pillow>=9.0.0, safetensors>=0.4.0, torch>=2.0.0
- Min PyTorch / CUDA:
- PyTorch 2.0.0 | CUDA 12.1+
- GitHub Repository:
- https://github.com/EricRollei/comfyui-refocus
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does Refocus - Generative Refocusing require?
Direct Answer: The ComfyUI node Refocus - Generative Refocusing requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 12288MB (12.0GB)
- Recommended GPU:
- 24GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- HIGH
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3090 24GB (Best Used 24GB Value)──► Used: $624.42View eBay ↗
- GeForce RTX 4090 24GB (Ultimate AI Beast)──► New: $1802.60View Amazon ↗
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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 Refocus - Generative Refocusing:
Buy NVIDIA GeForce RTX 4090 (24GB VRAM)
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- Card Purchase Price:
- $1800.00
- Active Wattage Draw:
- 450 Watts
- Annual Electric Cost:
- $0.00
Rent GPU On-Demand
- Estimated Cloud Rate:
- $0.44 / hr
- Weekly Cloud Billing:
- $0.00
- Annual Cost (Equivalent):
- $0.00
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What Python packages are required for Refocus - Generative Refocusing?
Direct Answer: Running Refocus - Generative Refocusing requires installing the following Python package dependencies: matplotlib>=3.5.0, numpy>=1.24.0, pillow>=9.0.0, safetensors>=0.4.0, torch>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.
matplotlib>=3.5.0
numpy>=1.24.0
pillow>=9.0.0
safetensors>=0.4.0
torch>=2.0.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does Refocus - Generative Refocusing require?
Refocus - Generative Refocusing requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run Refocus - Generative Refocusing on an RTX 3060, RTX 4070, or RTX 4090?
❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom
How much VRAM does Refocus - Generative Refocusing take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), Refocus - Generative Refocusing will struggle or run out of memory on an RTX 3060 (12GB) without aggressive memory offloading (using --lowvram), as the node's base footprint of 12.0GB takes up a large portion of the card's capacity. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 9.6GB 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 Refocus - Generative Refocusing need?
Refocus - Generative Refocusing requires the following PyTorch-related packages: torch>=2.0.0. 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 Refocus - Generative Refocusing?
To run Refocus - Generative Refocusing, you need to install: matplotlib>=3.5.0, numpy>=1.24.0, pillow>=9.0.0, safetensors>=0.4.0, torch>=2.0.0. You can install these using pip or add them to your requirements.txt file.
How do I install Refocus - Generative Refocusing in ComfyUI?
To install Refocus - Generative Refocusing: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/EricRollei/comfyui-refocus, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.