ComfyUI-PhotoDoodle
ComfyUI nodes for PhotoDoodle model.
How much VRAM does ComfyUI-PhotoDoodle require?
Direct Answer: The ComfyUI node ComfyUI-PhotoDoodle 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.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ 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-PhotoDoodle?
Direct Answer: Running ComfyUI-PhotoDoodle requires installing the following Python package dependencies: accelerate==0.33.0, altair==4.2.2, bitsandbytes==0.44.0, came_pytorch==0.1.3, diffusers==0.25.0, easygui==0.98.3, einops==0.7.0, ftfy==6.1.1, gradio==3.6, huggingface-hub==0.24.5, imagesize==1.4.1, lion-pytorch==0.0.6, numpy<=2.0, opencv-python==4.8.1.78, prodigyopt==1.0, pytorch-lightning==1.9.0, rich==13.7.0, safetensors==0.4.4, schedulefree==1.4, sentencepiece==0.2.0, tensorboard, toml==0.10.2, transformers==4.44.0, voluptuous==0.13.1. Ensure your ComfyUI environment has these packages active before launching.
accelerate==0.33.0
altair==4.2.2
bitsandbytes==0.44.0
came_pytorch==0.1.3
diffusers==0.25.0
easygui==0.98.3
einops==0.7.0
ftfy==6.1.1
gradio==3.6
huggingface-hub==0.24.5
imagesize==1.4.1
lion-pytorch==0.0.6
numpy<=2.0
opencv-python==4.8.1.78
prodigyopt==1.0
pytorch-lightning==1.9.0
rich==13.7.0
safetensors==0.4.4
schedulefree==1.4
sentencepiece==0.2.0
tensorboard
toml==0.10.2
transformers==4.44.0
voluptuous==0.13.1Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-PhotoDoodle require?
ComfyUI-PhotoDoodle 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-PhotoDoodle 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 PyTorch version does ComfyUI-PhotoDoodle need?
ComfyUI-PhotoDoodle requires the following PyTorch-related packages: came_pytorch==0.1.3, lion-pytorch==0.0.6, pytorch-lightning==1.9.0. 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-PhotoDoodle?
To run ComfyUI-PhotoDoodle, you need to install: accelerate==0.33.0, altair==4.2.2, bitsandbytes==0.44.0, came_pytorch==0.1.3, diffusers==0.25.0, easygui==0.98.3, einops==0.7.0, ftfy==6.1.1, gradio==3.6, huggingface-hub==0.24.5, imagesize==1.4.1, lion-pytorch==0.0.6, numpy<=2.0, opencv-python==4.8.1.78, prodigyopt==1.0, pytorch-lightning==1.9.0, rich==13.7.0, safetensors==0.4.4, schedulefree==1.4, sentencepiece==0.2.0, tensorboard, toml==0.10.2, transformers==4.44.0, voluptuous==0.13.1. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-PhotoDoodle?
ComfyUI-PhotoDoodle 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-PhotoDoodle in ComfyUI?
To install ComfyUI-PhotoDoodle: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Yuan-ManX/ComfyUI-PhotoDoodle, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.