Tenser Tensor
A collection of custom nodes for ComfyUI that streamline common workflows. — All-in-one model loaders: checkpoint, LoRA, CLIP, VAE — GGUF quantized model support: FLUX, FLUX2, SDXL, SD3.5 — Workflow settings nodes for FLUX, SDXL, and SD3.5 — Latent factory with aspect ratio, megapixel, and automatic model format detection — Context nodes for passing pipeline state between nodes — CLIP text encoders for FLUX, SDXL, and SD3.5 — KSampler variants with guided sampling and step-by-step latent preview — VAE encoders and decoders: tiled and context-based — Image tools: load, resize, upscale, preview, save, ControlNet reference — Post-production: brightness, contrast, LUT color grading, film grain, upscaler
How much VRAM does Tenser Tensor require?
Direct Answer: The ComfyUI node Tenser Tensor 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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Deploy on Cloud GPUs
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What Python packages are required for Tenser Tensor?
Direct Answer: Running Tenser Tensor requires installing the following Python package dependencies: gguf>=0.17.0, kornia. Ensure your ComfyUI environment has these packages active before launching.
gguf>=0.17.0
korniaInteractive 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 Tenser Tensor require?
Tenser Tensor 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 Tenser Tensor 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 Tenser Tensor?
To run Tenser Tensor, you need to install: gguf>=0.17.0, kornia. You can install these using pip or add them to your requirements.txt file.
How do I install Tenser Tensor in ComfyUI?
To install Tenser Tensor: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/tenser-tensor/ComfyUI-TenserTensor, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.