Can RTX 3060 12GB run TRELLIS Image Large?
Yes — runs locally
~70 tok/sec · Instant — feels like typing. No noticeable delay.
The verdict
The RTX 3060 12GB (12 GB VRAM) handles TRELLIS Image Large comfortably using the FP16 quantization, which fits in 12.0 GB. Expected throughput is around 70 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 3060 12GB
AI-generated, GPU-specific. Verified commands for your exact hardware.
TRELLIS Image Large runs on the NVIDIA GeForce RTX 3060 12GB with a Grade B performance at ~58 tok/sec using the FP16 quantization. It requires 12.0GB VRAM and outputs glTF files.
Prerequisites
Before starting, ensure you have at least 2.4GB of free disk space, a compatible operating system (Windows or Linux), the latest NVIDIA drivers (version 470.82.01 or later), and CUDA 11.4 or later installed.
Expected performance
With the FP16 quantization, you can expect a token generation rate of ~58 tok/sec, utilizing 12.0GB of VRAM. Given the 12GB VRAM limit, the practical context window will be constrained by the available headroom, which is minimal (0.0GB) after loading the model.
1. Install runtimeOllama
pip install ollama
ollama config set runtime cuda2. Download the model
Download the FP16 quantized version of TRELLIS Image Large (2.4GB) from Hugging Face.
ollama pull JeffreyXiang/TRELLIS-image-large3. Run it
ollama run TRELLIS-image-large --input your_input_image.jpg --output output.gltf
ollama serve TRELLIS-image-large4. Optimize for RTX 3060 12GB
For optimal performance on the NVIDIA GeForce RTX 3060 12GB, use the FP16 quantization and enable flash attention with the --flash-attn flag. Set --n-gpu-layers to 24 to fully utilize the 12GB VRAM. Tensor parallelism can be set to 1 for this model size.
Troubleshooting
Out of memory errors during inference
Reduce the batch size or decrease the number of layers loaded onto the GPU using the --n-gpu-layers flag.
Slow inference times
Ensure that the CUDA backend is correctly configured and that the latest NVIDIA drivers are installed. Consider enabling flash attention with --flash-attn.
Model fails to load
Verify that the model file has been downloaded correctly and that there are no issues with the Ollama installation. Try reinstalling Ollama or pulling the model again.
Alternative runtimes
Alternative runtimes like LM Studio, llama.cpp, and Jan can be used if you need more control over the execution environment or if Ollama does not meet your specific requirements. For example, LM Studio offers a more user-friendly interface, while llama.cpp provides more flexibility in terms of quantization options and performance tuning.
Other models that run great on RTX 3060 12GB
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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