Bobs_Latent_Optimizer
This custom node for ComfyUI is designed to optimize latent generation for use with FLUX, SDXL and SD3. It provides flexible control over aspect ratios, megapixel sizes, and upscale factors, allowing users to dynamically create latents that fit specific tiling and resolution needs.
Quick Technical Summary: Bobs_Latent_Optimizer
- Base VRAM Footprint:
- 12288 MB (24 GB Tier)
- Primary Dependencies:
- None (Pure Python/Torch)
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/BobsBlazed/Bobs_Latent_Optimizer
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does Bobs_Latent_Optimizer require?
Direct Answer: The ComfyUI node Bobs_Latent_Optimizer requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 12288MB (12.0GB)
- Recommended GPU:
- 24GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- HIGH
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3090 24GB (Best Used 24GB Value)──► Used: $624.42View eBay ↗
- GeForce RTX 4090 24GB (Ultimate AI Beast)──► New: $1802.60View 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 Bobs_Latent_Optimizer:
Buy NVIDIA GeForce RTX 4090 (24GB VRAM)
Tired of renting cloud rigs? Run ComfyUI locally with absolute zero latency. Critical for native FP16 video models (Hunyuan, Wan 2.1) and massive multi-model pipelines.
Local GPU Upgrade vs. Cloud Rental
Compare the real financial break-even point for ComfyUI generation.
Buy NVIDIA GeForce RTX 4090
- Card Purchase Price:
- $1800.00
- Active Wattage Draw:
- 450 Watts
- Annual Electric Cost:
- $0.00
Rent GPU On-Demand
- Estimated Cloud Rate:
- $0.44 / hr
- Weekly Cloud Billing:
- $0.00
- Annual Cost (Equivalent):
- $0.00
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Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does Bobs_Latent_Optimizer require?
Bobs_Latent_Optimizer requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run Bobs_Latent_Optimizer on an RTX 3060, RTX 4070, or RTX 4090?
❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom
How much VRAM does Bobs_Latent_Optimizer take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), Bobs_Latent_Optimizer will struggle or run out of memory on an RTX 3060 (12GB) without aggressive memory offloading (using --lowvram), as the node's base footprint of 12.0GB takes up a large portion of the card's capacity. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 9.6GB 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.
How do I install Bobs_Latent_Optimizer in ComfyUI?
To install Bobs_Latent_Optimizer: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/BobsBlazed/Bobs_Latent_Optimizer, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.