scg_Foundation-1-comfyUI

By SanDiegoDudeView on GitHub →

ComfyUI nodes for Foundation-1 model that generate tempo-synced, key-aware music loops with deep control over instrumentation, timbre, effects, and structure. (Description by CC)

How much VRAM does scg_Foundation-1-comfyUI require?

Direct Answer: The ComfyUI node scg_Foundation-1-comfyUI requires a minimum base VRAM of 1536MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
1536MB (1.5GB)
Recommended GPU:
6GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for scg_Foundation-1-comfyUI?

Direct Answer: Running scg_Foundation-1-comfyUI requires installing the following Python package dependencies: alias-free-torch, einops, einops-exts, ema-pytorch, huggingface_hub, local-attention, safetensors. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
alias-free-torch
einops
einops-exts
ema-pytorch
huggingface_hub
local-attention
safetensors

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

Audio Separation (Demix)
by set-soft1.5GB VRAM
AudioDriven-Latent-Space-Tools-for-ComfyUI
by Kayarte1.5GB VRAM
Boyonodes
by DragonDiffusionbyBoyo256MB VRAM
Canary-ComfyUI
by Juste-Leo21.5GB VRAM

Frequently Asked Questions

How much VRAM does scg_Foundation-1-comfyUI require?

scg_Foundation-1-comfyUI requires a minimum of 1536MB (1.5GB) 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 scg_Foundation-1-comfyUI on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 20.1GB headroom

What PyTorch version does scg_Foundation-1-comfyUI need?

scg_Foundation-1-comfyUI requires the following PyTorch-related packages: alias-free-torch, ema-pytorch. 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 scg_Foundation-1-comfyUI?

To run scg_Foundation-1-comfyUI, you need to install: alias-free-torch, einops, einops-exts, ema-pytorch, huggingface_hub, local-attention, safetensors. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running scg_Foundation-1-comfyUI?

scg_Foundation-1-comfyUI 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 scg_Foundation-1-comfyUI in ComfyUI?

To install scg_Foundation-1-comfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/SanDiegoDude/scg_Foundation-1-comfyUI, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.