Prompt Injection Node for ComfyUI

By DataCTEView on GitHub →

This custom node for ComfyUI allows you to inject specific prompts at specific blocks of the Stable Diffusion UNet, providing fine-grained control over the generated image. It is based on the concept that the content/subject understanding of the model is primarily contained within the MID0 and MID1 blocks, as demonstrated in the B-Lora (Content Style implicit separation) paper. Features. Inject different prompts into specific UNet blocks Three different node variations for flexible workflow integration Customize the learning rate of specific blocks to focus on content, lighting, style, or other aspects Potential for developing a 'Mix of Experts' approach by swapping blocks on-the-fly based on prompt content

How much VRAM does Prompt Injection Node for ComfyUI require?

Direct Answer: The ComfyUI node Prompt Injection Node for ComfyUI requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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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Related Custom Nodes

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

AegisFlow Utility Nodes
by Aegis722.0GB VRAM
Anima Block Compile
by sorryhyun128MB VRAM
Anyline
by TheMistoAI2.0GB VRAM
Comfy-Photoshop-SD
by AbdullahAlfaraj2.0GB VRAM

Frequently Asked Questions

How much VRAM does Prompt Injection Node for ComfyUI require?

Prompt Injection Node for ComfyUI requires a minimum of 256MB (0.3GB) 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 Prompt Injection Node for ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

How can I reduce VRAM usage when running Prompt Injection Node for ComfyUI?

Prompt Injection Node for 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 Prompt Injection Node for ComfyUI in ComfyUI?

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