ComfyUI DFloat11 Extended

By mingyi456View on GitHub →

Fork of the official DF11 ComfyUI custom node that supports a wider variety of model architectures, and provides fixes for compatibility with recent ComfyUI versions. Also, LoRAs are supported for select model architectures.

How much VRAM does ComfyUI DFloat11 Extended require?

Direct Answer: The ComfyUI node ComfyUI DFloat11 Extended requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ 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!

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What Python packages are required for ComfyUI DFloat11 Extended?

Direct Answer: Running ComfyUI DFloat11 Extended requires installing the following Python package dependencies: dfloat11. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
dfloat11

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:

Anima Adapter Loader
by sorryhyun128MB VRAM
Anima LoRA Comparison
by yunqiankuangyu128MB VRAM
Aspect Ratio Selector
by rTachibana128MB VRAM
AssetThingie
by pogo-pedagog128MB VRAM
Civitai Comfy Nodes
by civitai128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI DFloat11 Extended require?

ComfyUI DFloat11 Extended requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI DFloat11 Extended on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What Python packages are required for ComfyUI DFloat11 Extended?

To run ComfyUI DFloat11 Extended, you need to install: dfloat11. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI DFloat11 Extended?

ComfyUI DFloat11 Extended 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 ComfyUI DFloat11 Extended in ComfyUI?

To install ComfyUI DFloat11 Extended: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/mingyi456/ComfyUI-DFloat11-Extended, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.