RES4LYF
Advanced samplers with new noise scaling math to enable SDE sampling with all publicly available native models; new unsampling/noise inversion methods and other advanced img2img techniques for inpainting and/or guiding the sampling process with guide images, with results superior to FlowEdit, RF Inversion, and other SOTA implementations. Also new style transfer methods unique to this node pack; regional conditioning for HiDream, Flux, AuraFlow, and WAN; methods for eliminating Flux blur; and temporal conditioning (shift gradually from one prompt to the next with video). 115 sampler types, 24 noise types, 11 noise scaling modes, in a single node. Also includes a wide variety of QoF and other utility nodes for boosting detail, manipulating sigmas, latents, images, and more.
How much VRAM does RES4LYF require?
Direct Answer: The ComfyUI node RES4LYF 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
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for RES4LYF?
Direct Answer: Running RES4LYF requires installing the following Python package dependencies: matplotlib, numpy>=1.26.4, opencv-python, pywavelets. Ensure your ComfyUI environment has these packages active before launching.
matplotlib
numpy>=1.26.4
opencv-python
pywaveletsInteractive Setup & Dependency Resolver
# Loading 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 RES4LYF require?
RES4LYF 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 RES4LYF 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
What Python packages are required for RES4LYF?
To run RES4LYF, you need to install: matplotlib, numpy>=1.26.4, opencv-python, pywavelets. You can install these using pip or add them to your requirements.txt file.
How do I install RES4LYF in ComfyUI?
To install RES4LYF: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ClownsharkBatwing/RES4LYF, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.