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--- |
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license: mit |
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pipeline_tag: image-to-3d |
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tags: |
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- triposg |
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- 3d-generation |
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- rectified-flow |
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--- |
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# TripoSG-scribble - Fast 3D Shape Prototyping with Scribble and Prompt |
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TripoSG-scribble converts a scribble image and a text prompt to a 3D shape. TripoSG-scribble is a variant of TripoSG. TripoSG is a state-of-the-art image-to-3D generation foundation model that leverages large-scale rectified flow transformers to produce high-fidelity 3D shapes from single images. |
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## Model Description |
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### Model Architecture |
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TripoSG utilizes a novel architecture combining: |
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- Rectified Flow (RF) based Transformer for stable, linear trajectory modeling |
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- Advanced VAE with SDF-based representation and hybrid geometric supervision |
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- Cross-attention mechanism for image feature condition |
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- 1.5B parameters operating on 2048 latent tokens |
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For inference efficiency, TripoSG-scribble is different from TripoSG in: |
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- TripoSG-scribble is a CFG-distilled model and should be used with CFG=0 |
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- TripoSG-scribble is trained with 512 latent tokens |
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## Intended Uses |
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This model is designed for: |
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- Converting scribble image and text prompt to high-quality 3D meshes |
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- Creative and design applications |
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- Gaming and VFX asset creation |
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- Prototyping and visualization |
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## Requirements |
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- CUDA-capable GPU (>8GB VRAM) |
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## Usage |
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For detailed usage instructions, please visit our [GitHub repository](https://github.com/VAST-AI-Research/TripoSG). |
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## About |
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TripoSG-scribble is developed by [Tripo](https://www.tripo3d.ai), [VAST AI Research](https://github.com/orgs/VAST-AI-Research), pushing the boundaries of 3D Generative AI. |
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For more information: |
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- [GitHub Repository](https://github.com/VAST-AI-Research/TripoSG) |
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- [Paper](https://arxiv.org/abs/2502.06608) |
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- [Gradio Demo](https://huggingface.co/spaces/VAST-AI/TripoSG-scribble) |
