HiDream Sampler
A custom ComfyUI node for generating images using the HiDream AI model. Uses quantization for lower memory usage.
VRAM Requirements
Direct Answer: The ComfyUI node HiDream Sampler 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
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Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
Python Dependencies
Direct Answer: Running HiDream Sampler requires installing the following Python package dependencies: accelerate>=0.25.0, bitsandbytes>=0.41.0, diffusers>=0.26.0, gptqmodel>=2.0.0, huggingface_hub>=0.17.0, numpy>=1.24.0, optimum>=1.12.0, pillow>=10.0.0, safetensors>=0.4.0, sageattention, torch>=2.0.0, transformers>=4.36.0, triton>=3.0.0,<3.1.0; sys_platform != "win32", triton-windows==3.3.0a0.post17; sys_platform == "win32". This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.25.0
bitsandbytes>=0.41.0
diffusers>=0.26.0
gptqmodel>=2.0.0
huggingface_hub>=0.17.0
numpy>=1.24.0
optimum>=1.12.0
pillow>=10.0.0
safetensors>=0.4.0
sageattention
torch>=2.0.0
transformers>=4.36.0
triton>=3.0.0,<3.1.0; sys_platform != "win32"
triton-windows==3.3.0a0.post17; sys_platform == "win32"🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...