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license: mit
base_model: microsoft/TRELLIS-image-large
pipeline_tag: image-to-3d
tags:
- image-to-3d
- 3d-generation
- scene-generation
- real-to-sim
---
# IScene
IScene is a segmentation-conditioned 3D scene generation model. This Hugging Face repository hosts the `IScene-v1` checkpoint package for IScene inference.
## Links
- Project: https://luling06.github.io/I-Scene-project/
- Code: https://github.com/LuLing06/I-Scene-project
- Model: https://huggingface.co/LuLing/IScene
## Contents
- `iscene_config.json`: public release metadata and checkpoint layout.
- `config.yml`: inference-only architecture configuration.
- `ckpts/iscene_denoiser.pt`: IScene denoiser checkpoint.
- `ckpts/iscene_image_conditioner.pt`: IScene image-conditioner checkpoint.
## Usage
The public IScene code should load this package with:
```python
from iscene.inference.inferencer import ISceneInferencer
inferencer = ISceneInferencer.from_pretrained("LuLing/IScene")
```
For local testing before uploading to Hugging Face:
```python
inferencer = ISceneInferencer.from_pretrained("release_hf/IScene-v1")
```
## Notes
- This package contains only the IScene release checkpoint files, not historical training logs or experimental checkpoints.
- The IScene code loads the base model from `microsoft/TRELLIS-image-large` unless an equivalent local mirror is provided.
## Attribution
IScene builds on the TRELLIS image-to-3D backbone and uses `microsoft/TRELLIS-image-large` as the base model. Please preserve upstream TRELLIS attribution and license terms when redistributing derived code or model packages.
## License
This model package is prepared for release under the MIT License.
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