ComfyUI-BerniniR
ByteDance Bernini-R (Wan2.2-T2V-A14B + source-id RoPE + APG multi-condition guidance) for ComfyUI: t2v/t2i, image & video editing, reference-to-video.
How much VRAM does ComfyUI-BerniniR require?
Direct Answer: The ComfyUI node ComfyUI-BerniniR 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-BerniniR?
Direct Answer: Running ComfyUI-BerniniR requires installing the following Python package dependencies: accelerate>=0.34.2, diffusers>=0.35.2, einops>=0.7.0, ftfy>=6.1.0, safetensors>=0.4.0, sentencepiece>=0.2.0, transformers>=4.57.0. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=0.34.2
diffusers>=0.35.2
einops>=0.7.0
ftfy>=6.1.0
safetensors>=0.4.0
sentencepiece>=0.2.0
transformers>=4.57.0Interactive Setup & Dependency Resolver
# Loading command...Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does ComfyUI-BerniniR require?
ComfyUI-BerniniR 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-BerniniR 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 Python packages are required for ComfyUI-BerniniR?
To run ComfyUI-BerniniR, you need to install: accelerate>=0.34.2, diffusers>=0.35.2, einops>=0.7.0, ftfy>=6.1.0, safetensors>=0.4.0, sentencepiece>=0.2.0, transformers>=4.57.0. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI-BerniniR in ComfyUI?
To install ComfyUI-BerniniR: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/neuregex/ComfyUI-BerniniR, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.