ComfyUI-PosterCraft
ComfyUI-PosterCraft is now available in ComfyUI, PosterCraft is a unified framework for high-quality aesthetic poster generation that excels in precise text rendering, seamless integration of abstract art, striking layouts, and stylistic harmony.
How much VRAM does ComfyUI-PosterCraft require?
Direct Answer: The ComfyUI node ComfyUI-PosterCraft 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!
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What Python packages are required for ComfyUI-PosterCraft?
Direct Answer: Running ComfyUI-PosterCraft requires installing the following Python package dependencies: accelerate==1.6.0, aiofiles==24.1.0, click==8.1.8, datasets==3.5.1, diffusers==0.33.1, einops==0.8.1, fastapi==0.115.12, gradio==5.32.0, gradio-client==1.10.2, huggingface-hub==0.30.2, jinja2==3.1.6, lightning==2.5.1.post0, matplotlib==3.10.3, numpy==2.2.5, opencv-python==4.11.0.86, pandas==2.2.3, peft==0.15.2, pillow==11.2.1, pydantic==2.11.3, pyyaml==6.0.2, requests==2.32.3, ruff==0.11.9, safetensors==0.5.3, sentencepiece==0.2.0, starlette==0.46.2, tokenizers==0.21.1, torch==2.6.0, torchvision==0.21.0, tqdm==4.67.1, transformers==4.51.3, typer==0.15.3, uvicorn==0.34.2. Ensure your ComfyUI environment has these packages active before launching.
accelerate==1.6.0
aiofiles==24.1.0
click==8.1.8
datasets==3.5.1
diffusers==0.33.1
einops==0.8.1
fastapi==0.115.12
gradio==5.32.0
gradio-client==1.10.2
huggingface-hub==0.30.2
jinja2==3.1.6
lightning==2.5.1.post0
matplotlib==3.10.3
numpy==2.2.5
opencv-python==4.11.0.86
pandas==2.2.3
peft==0.15.2
pillow==11.2.1
pydantic==2.11.3
pyyaml==6.0.2
requests==2.32.3
ruff==0.11.9
safetensors==0.5.3
sentencepiece==0.2.0
starlette==0.46.2
tokenizers==0.21.1
torch==2.6.0
torchvision==0.21.0
tqdm==4.67.1
transformers==4.51.3
typer==0.15.3
uvicorn==0.34.2Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-PosterCraft require?
ComfyUI-PosterCraft 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-PosterCraft 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-PosterCraft need?
ComfyUI-PosterCraft requires the following PyTorch-related packages: torch==2.6.0, torchvision==0.21.0. 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-PosterCraft?
To run ComfyUI-PosterCraft, you need to install: accelerate==1.6.0, aiofiles==24.1.0, click==8.1.8, datasets==3.5.1, diffusers==0.33.1, einops==0.8.1, fastapi==0.115.12, gradio==5.32.0, gradio-client==1.10.2, huggingface-hub==0.30.2, jinja2==3.1.6, lightning==2.5.1.post0, matplotlib==3.10.3, numpy==2.2.5, opencv-python==4.11.0.86, pandas==2.2.3, peft==0.15.2, pillow==11.2.1, pydantic==2.11.3, pyyaml==6.0.2, requests==2.32.3, ruff==0.11.9, safetensors==0.5.3, sentencepiece==0.2.0, starlette==0.46.2, tokenizers==0.21.1, torch==2.6.0, torchvision==0.21.0, tqdm==4.67.1, transformers==4.51.3, typer==0.15.3, uvicorn==0.34.2. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI-PosterCraft in ComfyUI?
To install ComfyUI-PosterCraft: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Yuan-ManX/ComfyUI-PosterCraft, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.