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--- |
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license: apache-2.0 |
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pipeline_tag: image-to-3d |
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tags: |
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- text-to-3d |
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- image-to-3d |
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datasets: |
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- fka/awesome-chatgpt-prompts |
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language: |
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- ab |
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metrics: |
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- accuracy |
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base_model: black-forest-labs/FLUX.1-dev |
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library_name: adapter-transformers |
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--- |
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# 3DTopia-XL |
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This repo contains the pretrained weights for *3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion*. |
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[Project Page]() | [Arxiv](https://arxiv.org/abs/xxxx.xxxxx) | [Weights](https://huggingface.co/FrozenBurning/3DTopia-XL) | [Code](https://github.com/3DTopia/3DTopia-XL) |
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## Introduction |
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3DTopia-XL scales high-quality 3D asset generation using Diffusion Transformer (DiT) built upon an expressive and efficient 3D representation, **PrimX**. The denoising process takes 5 seconds to generate a 3D PBR asset from text/image input which is ready for the graphics pipeline to use. |
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<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/62fc8cf7ee999004b5a8b982/-f349zLT7hjWla9yxupSY.mp4"></video> |
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## Model Details |
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The model is trained on a ~256K subset of [Objaverse](https://huggingface.co/datasets/allenai/objaverse). |
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For more details, please refer to our paper. |
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## Usage |
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To download the model: |
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```python |
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from huggingface_hub import hf_hub_download |
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ckpt_path = hf_hub_download(repo_id="frozenburning/3DTopia-XL", filename="model_sview_dit_fp16.pt") |
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vae_ckpt_path = hf_hub_download(repo_id="frozenburning/3DTopia-XL", filename="model_vae_fp16.pt") |
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``` |
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Please refer to our [repo](https://github.com/3DTopia/3DTopia-XL) for more details on loading and inference. |
