Microsoft's TRELLIS produces game-ready textured 3D meshes from a single reference image. The first open model that hits genuine production quality for image-to-3D, with output you can drop straight into Blender.
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| FP16 | 16 | 2.4 GB | 12 GB | 16 GB | 100% |
How to run TRELLIS Image Large
Pick a runtime — copy & paste. Commands are pre-filled with this model’s repo.
GUI. Browse → download → chat. MLX on Apple Silicon.
LM Studio home →- 1
Open LM Studio
Go to the 🔍 Search tab.
- 2
Search for
JeffreyXiang/TRELLIS-image-large - 3
Download
Pick the FP16 quant — best balance of size vs. quality.
- 4
Chat
Hit ▶ Load Model and start chatting. Toggle 'Local Server' to expose an OpenAI-compatible API on :1234.
Community benchmarks
Real tokens/sec reports from people running TRELLIS Image Large on actual hardware.
No community runs yet for this model. Be the first to submit your numbers.
how much VRAM do I need to run TRELLIS Image Large?
TRELLIS Image Large requires 12 GB VRAM minimum with FP16 quantization. For full precision you need 12 GB.
which quant should I pick?
Q4_K_M is the best quality/VRAM balance — ~92% of FP16 quality at ~25% the footprint. Q8_0 is near-lossless if you have the headroom.
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.
Does TRELLIS Image Large support function calling?
TRELLIS Image Large does not support function calling as it is designed for image-to-3D conversion and not for executing code or functions.
TRELLIS Image Large quantization options?
TRELLIS Image Large supports quantization, but the exact options and their impact on VRAM usage are not specified. Check the model documentation for more details.
Can TRELLIS Image Large run on CPU?
While TRELLIS Image Large can technically run on a CPU, it is highly inefficient and not recommended due to the high computational demands of the model.
TRELLIS Image Large fine-tuning?
TRELLIS Image Large can be fine-tuned, but this process requires significant computational resources and expertise in 3D model training.
TRELLIS Image Large system requirements?
To run TRELLIS Image Large, you need a GPU with at least 12 GB of VRAM, 16 GB of RAM, and a modern CPU. A fast SSD is also recommended for better performance.
TRELLIS Image Large performance benchmark?
Performance benchmarks for TRELLIS Image Large vary based on hardware, but it generally processes images to 3D models in a few minutes on a high-end GPU like the RTX 3090.
TRELLIS Image Large for RAG?
TRELLIS Image Large is not designed for Retrieval-Augmented Generation (RAG) as it focuses on image-to-3D conversion rather than text retrieval or generation.
TRELLIS Image Large for agents?
TRELLIS Image Large can be used in agent-based systems for generating 3D environments or objects, but it is not designed for creating conversational agents or handling text-based interactions.
TRELLIS Image Large for coding vs general?
TRELLIS Image Large is specialized for generating 3D models from images and is not suitable for coding or general-purpose tasks like text generation or chat.
TRELLIS Image Large vs ChatGPT?
TRELLIS Image Large is an image-to-3D model, while ChatGPT is a text-based conversational model. They serve different purposes and are not directly comparable.
TRELLIS Image Large download size?
The download size for TRELLIS Image Large is approximately 2.5 GB, but this can vary slightly depending on the version and any additional dependencies.
Best quant for TRELLIS Image Large?
The best quantization option for TRELLIS Image Large depends on your specific needs. FP16 is a common choice for balancing performance and accuracy, but check the model documentation for supported options.