Hugging Face has released a comprehensive guide detailing how to fine-tune TRELLIS.2, a 3D generation model. The guide focuses on using LoRA (low-rank adaptation) to improve specific aspects of 3D model generation, such as the accuracy of shoe soles. It provides scripts and containers for fine-tuning that can be run locally or on Hugging Face Jobs, leveraging the PEFT library for efficient adaptation. AI
IMPACT Enables users to customize existing 3D generation models for specific applications, improving detail accuracy.
RANK_REASON The item describes a guide and scripts for fine-tuning an existing model, which falls under tooling rather than a new model release.
- 3D Gaussian splatting
- BiRefNet
- DINOv3-L
- Google Scanned Objects
- Hugging Face
- Hugging Face Hub
- Hugging Face Jobs
- LoRA
- Neural Radiance Fields
- PEFT
- TRELLIS.2
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