ComfyUI_ChronoEdit_SM
Towards Temporal Reasoning for Image Editing and World Simulation,you can use this node in comfyUI,and Vram >12G
Quick Technical Summary: ComfyUI_ChronoEdit_SM
- Base VRAM Footprint:
- 128 MB (4 GB Tier)
- Primary Dependencies:
- accelerate, diffusers, einops, ftfy, huggingface-hub, imageio, imageio-ffmpeg, numpy, peft, pillow, qwen-vl-utils, regex, sentencepiece, tokenizers, tqdm, transformers, typing-extensions, xfuse
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/smthemex/ComfyUI_ChronoEdit_SM
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does ComfyUI_ChronoEdit_SM require?
Direct Answer: The ComfyUI node ComfyUI_ChronoEdit_SM 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
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for ComfyUI_ChronoEdit_SM:
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
Tired of renting cloud rigs? Run ComfyUI locally with absolute zero latency. Best entry-level ComfyUI experience. Avoids immediate VRAM limitations on basic LoRA training.
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What Python packages are required for ComfyUI_ChronoEdit_SM?
Direct Answer: Running ComfyUI_ChronoEdit_SM requires installing the following Python package dependencies: accelerate, diffusers, einops, ftfy, huggingface-hub, imageio, imageio-ffmpeg, numpy, peft, pillow, qwen-vl-utils, regex, sentencepiece, tokenizers, tqdm, transformers, typing-extensions, xfuse. Ensure your ComfyUI environment has these packages active before launching.
accelerate
diffusers
einops
ftfy
huggingface-hub
imageio
imageio-ffmpeg
numpy
peft
pillow
qwen-vl-utils
regex
sentencepiece
tokenizers
tqdm
transformers
typing-extensions
xfuseInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_ChronoEdit_SM require?
ComfyUI_ChronoEdit_SM 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_ChronoEdit_SM 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
How much VRAM does ComfyUI_ChronoEdit_SM take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), ComfyUI_ChronoEdit_SM runs smoothly on an RTX 3060 (12GB) with 10.7GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 21.5GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
What Python packages are required for ComfyUI_ChronoEdit_SM?
To run ComfyUI_ChronoEdit_SM, you need to install: accelerate, diffusers, einops, ftfy, huggingface-hub, imageio, imageio-ffmpeg, numpy, peft, pillow, qwen-vl-utils, regex, sentencepiece, tokenizers, tqdm, transformers, typing-extensions, xfuse. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI_ChronoEdit_SM?
ComfyUI_ChronoEdit_SM 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_ChronoEdit_SM in ComfyUI?
To install ComfyUI_ChronoEdit_SM: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/smthemex/ComfyUI_ChronoEdit_SM, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.