Instructions to use gucci233/FlexPart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gucci233/FlexPart with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gucci233/FlexPart", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Download README.md from gucci233/FlexPart: direct link, hf CLI and curl.
- Browser
- Download file 684 Bytes
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https://huggingface.co/gucci233/FlexPart/resolve/main/README.md
- Command line
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hf download hf://gucci233/FlexPart/README.md
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curl -L -o README.md https://huggingface.co/gucci233/FlexPart/resolve/main/README.md
684 Bytes
| license: apache-2.0 | |
| library_name: diffusers | |
| pipeline_tag: image-to-3d | |
| # FlexPart | |
| FlexPart is a unified image-to-3D part generation framework that supports variable-granularity geometric conditions, ranging from sparse points to bounding boxes and segmentation masks, within a single model. It generates separate, assemblable 3D parts from a single image. | |
| This model is presented in the paper [A Unified Framework for Image-to-3D Part Generation via Variable Granularity](https://huggingface.co/papers/2610.31671). | |
| The code and usage instructions are available in the official GitHub repository: [https://github.com/Gucci233/FlexPart](https://github.com/Gucci233/FlexPart). |