comfyui-Image-reward

By shadowcz007View on GitHub →

[a/ImageReward](https://github.com/THUDM/ImageReward): Human preference learning in text-to-image generation. This is a [a/paper](https://arxiv.org/abs/2304.05977) from NeurIPS 2023

How much VRAM does comfyui-Image-reward require?

Direct Answer: The ComfyUI node comfyui-Image-reward requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

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 Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for comfyui-Image-reward?

Direct Answer: Running comfyui-Image-reward requires installing the following Python package dependencies: fairscale==0.4.13, openai-clip, timm==0.6.13. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
fairscale==0.4.13
openai-clip
timm==0.6.13

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

comfyui-sound-lab
by shadowcz0071.5GB VRAM
ComfyUI-Regex-Runner
by orange90256MB VRAM
AIGODLIKE-COMFYUI-TRANSLATION
by AIGODLIKE128MB VRAM
AIRedoon
by purpen256MB VRAM

Frequently Asked Questions

How much VRAM does comfyui-Image-reward require?

comfyui-Image-reward requires a minimum of 256MB (0.3GB) 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-Image-reward on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What Python packages are required for comfyui-Image-reward?

To run comfyui-Image-reward, you need to install: fairscale==0.4.13, openai-clip, timm==0.6.13. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running comfyui-Image-reward?

comfyui-Image-reward 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-Image-reward in ComfyUI?

To install comfyui-Image-reward: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/shadowcz007/comfyui-Image-reward, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.