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  5. Run TRELLIS 2 on 6GB/8GB VRAM: Low VRAM ComfyUI Guide (2026)
Run TRELLIS 2 on 6GB/8GB VRAM: Low VRAM ComfyUI Guide (2026)
2026/04/21
3 min read

Run TRELLIS 2 on 6GB/8GB VRAM: Low VRAM ComfyUI Guide (2026)

How to run Microsoft TRELLIS 2 on low VRAM GPUs (RTX 3060, 4060) in ComfyUI. Covers low VRAM mode setup, resolution tuning, memory optimization, and performance benchmarks.

Last updated: April 21, 2026

You don't need a $2,000 GPU to run TRELLIS 2. With the right configuration, Microsoft's 4-billion parameter 3D generation model works on consumer GPUs with as little as 6GB VRAM. This guide shows you exactly how to optimize ComfyUI for low VRAM setups.

If your GPU doesn't meet the requirements, you can use TRELLIS 2 online instead β€” no GPU needed.

Which GPUs Work?

GPUVRAMMax ResolutionTime per Model

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RTX 4060
8 GB
1024Β³ (low VRAM)
~120s
RTX 30608 GB1024Β³ (low VRAM)~150s
RTX 306012 GB1024Β³~90s
RTX 20606 GB512Β³ only~60s
GTX 10808 GB512Β³~45s
GTX 16606 GB512Β³~50s

Step 1: Enable Low VRAM Mode

In ComfyUI, launch with the low VRAM flag:

python main.py --lowvram

Or for extremely limited VRAM:

python main.py --novram

Step 2: Configure TRELLIS Node Parameters

In the TRELLIS node settings within ComfyUI:

ParameterValueWhy
Resolution512Cuts VRAM usage by ~60%
Low VRAM ModetrueEnables gradient checkpointing
Batch Size1Process one model at a time
Texture Resolution512Lower texture = less memory
PBR Channelscolor onlySkip roughness/metallic/normal
Steps20Fewer steps = less peak memory

Step 3: Optimize Your System

Close GPU-Consuming Applications

Before running TRELLIS 2, close:

  • Browser tabs (especially with video/WebGL)
  • Other AI tools (Stable Diffusion, game engines)
  • GPU monitoring tools with live graphs
  • Screen recording software

Use fp16 Precision

# In ComfyUI startup
python main.py --lowvram --force-fp16

This halves memory usage with minimal quality loss.

Monitor VRAM Usage

# Real-time GPU monitoring
watch -n 1 nvidia-smi

Performance Benchmarks

RTX 3060 8GB

ResolutionLow VRAM ModeVRAM PeakTimeQuality
512Β³Off7.5 GB~30sGood
512Β³On6.2 GB~60sGood
1024Β³On7.8 GB~180sVery Good

RTX 4060 8GB

ResolutionLow VRAM ModeVRAM PeakTimeQuality
512Β³Off7.2 GB~20sGood
1024Β³Off7.9 GB~100sVery Good
1024Β³On6.8 GB~120sVery Good

Tips for Best Results on Low VRAM

  1. Start at 512Β³ for iteration β€” Get the shape right, then switch to 1024Β³ for final output
  2. Use a fixed seed β€” Reproduce results without re-running
  3. Pre-process images β€” Resize to 512x512 before loading into ComfyUI
  4. Disable texture baking initially β€” Focus on shape quality first
  5. Process one at a time β€” Don't queue multiple models

Troubleshooting

"CUDA out of memory" error

  • Reduce resolution to 512Β³
  • Enable --lowvram or --novram
  • Close all other applications
  • Set texture resolution to 256

"Generation is very slow"

Low VRAM mode trades speed for memory. On a 6GB card, expect 2-3x longer generation times compared to a 24GB card.

"Output quality is poor"

  • Ensure input image is high quality (512x512+)
  • Use 1024Β³ for final output (not 512Β³)
  • Increase steps to 30-40

Related Guides

  • TRELLIS 2 ComfyUI Guide β€” Full installation instructions
  • ComfyUI Workflow Tutorial β€” Step-by-step workflow
  • TRELLIS 2 Download β€” Model weights and dependencies
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Author

avatar for Trellis2 Team
Trellis2 Team

3D technology specialists focused on AI-powered 3D model generation, format conversion, and browser-based 3D rendering. We test and review 3D tools so you don't have to.

Categories

    Which GPUs Work?Step 1: Enable Low VRAM ModeStep 2: Configure TRELLIS Node ParametersStep 3: Optimize Your SystemClose GPU-Consuming ApplicationsUse fp16 PrecisionMonitor VRAM UsagePerformance BenchmarksRTX 3060 8GBRTX 4060 8GBTips for Best Results on Low VRAMTroubleshooting"CUDA out of memory" error"Generation is very slow""Output quality is poor"Related Guides
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