ComfyUI_Fill-Nodes
Fill-Nodes is a versatile collection of custom nodes for ComfyUI that extends functionality across multiple domains. Features include advanced image processing (pixelation, slicing, masking), visual effects generation (glitch, halftone, pixel art), comprehensive file handling (PDF creation/extraction, Google Drive integration), AI model interfaces (GPT, DALL-E, Hugging Face), utility nodes for workflow enhancement, and specialized tools for video processing, captioning, and batch operations. The pack provides both practical workflow solutions and creative tools within a unified node collection.
How much VRAM does ComfyUI_Fill-Nodes require?
Direct Answer: The ComfyUI node ComfyUI_Fill-Nodes requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
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 Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
What Python packages are required for ComfyUI_Fill-Nodes?
Direct Answer: Running ComfyUI_Fill-Nodes requires installing the following Python package dependencies: aiohttp, fal-client, gdown, glfw, glitch_this, google-cloud-storage, google-genai>=1.66.0,<2.0.0, httpx, huggingface_hub, kornia, librosa, matplotlib, moviepy==1.0.3, ollama, open_clip_torch, openai, opencv-python, pdf2image, pymupdf, pyopengl, pypdf2, pypdf2, reportlab, reportlab, requests, runwayml, scipy>=1.13.1, sounddevice. Ensure your ComfyUI environment has these packages active before launching.
aiohttp
fal-client
gdown
glfw
glitch_this
google-cloud-storage
google-genai>=1.66.0,<2.0.0
httpx
huggingface_hub
kornia
librosa
matplotlib
moviepy==1.0.3
ollama
open_clip_torch
openai
opencv-python
pdf2image
pymupdf
pyopengl
pypdf2
pypdf2
reportlab
reportlab
requests
runwayml
scipy>=1.13.1
sounddeviceInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_Fill-Nodes require?
ComfyUI_Fill-Nodes requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run ComfyUI_Fill-Nodes on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom
What PyTorch version does ComfyUI_Fill-Nodes need?
ComfyUI_Fill-Nodes requires the following PyTorch-related packages: open_clip_torch. 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 ComfyUI_Fill-Nodes?
To run ComfyUI_Fill-Nodes, you need to install: aiohttp, fal-client, gdown, glfw, glitch_this, google-cloud-storage, google-genai>=1.66.0,<2.0.0, httpx, huggingface_hub, kornia, librosa, matplotlib, moviepy==1.0.3, ollama, open_clip_torch, openai, opencv-python, pdf2image, pymupdf, pyopengl, pypdf2, pypdf2, reportlab, reportlab, requests, runwayml, scipy>=1.13.1, sounddevice. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI_Fill-Nodes in ComfyUI?
To install ComfyUI_Fill-Nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/filliptm/ComfyUI_Fill-Nodes, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.