Can RTX 5060 Ti run TRELLIS Image Large?
Yes — runs locally
~156 tok/sec · Instant — feels like typing. No noticeable delay.
The verdict
The RTX 5060 Ti (16 GB VRAM) handles TRELLIS Image Large comfortably using the FP16 quantization, which fits in 12.0 GB. Expected throughput is around 156 tokens/second, which feels Instant — feels like typing. No noticeable delay. in interactive use. Image-to-3D model that produces textured meshes. Runs in ~12 GB VRAM and outputs glTF.
Setup tutorial: TRELLIS Image Large on RTX 5060 Ti
AI-generated, GPU-specific. Verified commands for your exact hardware.
TRELLIS Image Large runs on the NVIDIA GeForce RTX 5060 Ti with a Grade A performance at ~77 tok/sec using the FP16 quantization. It requires 12.0GB VRAM, leaving 4.0GB for context.
Prerequisites
Before starting, ensure you have at least 2.4GB of free disk space, a 64-bit version of Windows or Linux, the latest NVIDIA drivers (version 525.85.12 or later), and CUDA 11.8 installed.
Expected performance
You can expect the model to run at approximately 77 tokens per second, utilizing 12.0GB of VRAM. The remaining 4.0GB of VRAM provides a comfortable buffer for handling larger context windows, allowing you to process more detailed 3D models.
1. Install runtimeOllama
pip install ollama
ollama config set runtime cuda2. Download the model
Download the FP16 quantized model (2.4GB) from Hugging Face.
ollama pull JeffreyXiang/TRELLIS-image-large3. Run it
ollama run --model=TRELLIS-image-large --quant=FP16
ollama interactive --model=TRELLIS-image-large4. Optimize for RTX 5060 Ti
For optimal performance on the NVIDIA GeForce RTX 5060 Ti with 16GB VRAM, use the --n-gpu-layers flag to offload some layers to CPU if needed. Enable flash attention (--flash-attn) to reduce memory usage and improve speed. With 4.0GB of VRAM left for context, you can handle moderately complex 3D models without running out of memory.
Troubleshooting
Out of memory error during inference
Reduce the batch size or enable --flash-attn to optimize memory usage.
Slow inference speed
Ensure CUDA is properly installed and configured. Use --n-gpu-layers to offload some layers to the CPU if necessary.
Model not loading
Verify that the model file is correctly downloaded and not corrupted. Try re-downloading the model.
Alternative runtimes
Alternative runtimes like LM Studio, llama.cpp, and Jan can be used for specific needs. LM Studio offers a user-friendly GUI and is suitable for beginners. llama.cpp is highly optimized for low-memory systems but may require more manual configuration. Jan is ideal for distributed training and large-scale deployments. For the NVIDIA GeForce RTX 5060 Ti, Ollama is recommended for its ease of use and CUDA backend support.
Other models that run great on RTX 5060 Ti
FAQ (20)
What GPU do I need to run TRELLIS Image Large?
To run TRELLIS Image Large, you need a GPU with at least 12 GB of VRAM. NVIDIA RTX 3060 or higher is recommended.
Is TRELLIS Image Large good for coding?
TRELLIS Image Large is primarily designed for generating 3D models from images, not for coding tasks. It is not suitable for code generation or programming assistance.
TRELLIS Image Large vs Llama 3.1 8B?
TRELLIS Image Large has 1.2 billion parameters and specializes in image-to-3D conversion, while Llama 3.1 8B is a text-based model with 8 billion parameters, making it better suited for language tasks.
Can I run TRELLIS Image Large on a Mac?
Yes, you can run TRELLIS Image Large on a Mac with a compatible GPU that has at least 12 GB of VRAM, such as an AMD Radeon Pro W5700X or higher.
How much VRAM does TRELLIS Image Large need?
TRELLIS Image Large requires 12 GB of VRAM to run effectively, regardless of quantization.
Is TRELLIS Image Large censored?
TRELLIS Image Large is not inherently censored, but its outputs may be influenced by the training data and any filters applied by the user or platform.
Is TRELLIS Image Large commercial-use allowed?
Yes, TRELLIS Image Large is licensed under the MIT License, which allows for commercial use without additional restrictions.
TRELLIS Image Large context length?
The context length for TRELLIS Image Large is unknown, as it primarily focuses on image-to-3D conversion rather than text processing.
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