Solutions for low graphics memory devices
For the problem of insufficient video memory, Tencent Hunyuan3D-2 provides the following three solutions:
- Using the mini version: Select the Hunyuan3D-2mini model (requires only 6GB of video memory) by command:
pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained('tencent/Hunyuan3D-2mini') - Modify generation parameters: Reduce
num_inference_stepsparameter value (e.g. from 30 to 15), sacrificing a small amount of quality for a lower memory footprint. - Enable memory optimization: Add
enable_model_cpu_offload=TrueParameters to let the system automatically manage video memory
For extreme cases (e.g. 4GB of video memory): try running the texture generation module on a separate CPU, or use a cloud service such as Google Colab.
This answer comes from the articleHunyuan3D-2: Tencent open source high-resolution 3D model generation toolThe
May not be reproduced without permission:AI productivity tools " How to solve the problem that Hunyuan3D-2 can't run normally due to insufficient video memory?
