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README.md
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| Model | Description | Hugging Face | ModelScope |
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| :--- | :--- | :--- | :--- |
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| **Alchemy3D**
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| **Alchemy3D-Turbo** | Step-distilled variant for faster inference with competitive quality | [libadi/Alchemy3D-Turbo](https://huggingface.co/libadi/Alchemy3D-Turbo) | [libd55/Alchemy3D-Turbo](https://modelscope.cn/models/libd55/Alchemy3D-Turbo) |
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| **Alchemy3D-Flux** | Replaces DINOv3 with a Flux2 encoder for stronger PBR / appearance editing | [libadi/Alchemy3D-Flux](https://huggingface.co/libadi/Alchemy3D-Flux) | [libd55/Alchemy3D-Flux](https://modelscope.cn/models/libd55/Alchemy3D-Flux) |
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| **Alchemy3D-Instruct** | Instruction-driven editing from natural-language text instead of a target image | [libadi/Alchemy3D-Instruct](https://huggingface.co/libadi/Alchemy3D-Instruct) | [libd55/Alchemy3D-Instruct](https://modelscope.cn/models/libd55/Alchemy3D-Instruct) |
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| **Alchemy3D-Segment** | Downstream 3D part segmentation from 1–8 multi-view 2D segmentation maps | [libadi/Alchemy3D-Segment](https://huggingface.co/libadi/Alchemy3D-Segment) | [libd55/Alchemy3D-Segment](https://modelscope.cn/models/libd55/Alchemy3D-Segment) |
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- **Alchemy3D / Turbo / Flux** share the same image-conditioned editing API (`Pipeline.from_pretrained(...)`); swap the model ID to switch variants.
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- **Alchemy3D-Instruct** uses `Alchemy3DInstructPipeline` with a text `instruction` string.
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- **Alchemy3D-Segment** uses `Alchemy3DSegmentPipeline` and returns part meshes / labels.
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## Quick Start
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Install and run from the [official repository](https://github.com/libd1/Alchemy3D).
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```python
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from alchemy3d.pipelines import Pipeline
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glb.export("example.glb")
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```
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Instruction editing and part segmentation use dedicated pipelines — see [`example-instruct.py`](https://github.com/libd1/Alchemy3D/blob/main/example-instruct.py) and [`example_segment.py`](https://github.com/libd1/Alchemy3D/blob/main/example_segment.py).
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> **Hardware:** NVIDIA GPU recommended; ~24GB VRAM is a practical minimum. See the [GitHub README](https://github.com/libd1/Alchemy3D) for full environment setup (`setup.sh`).
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## Citation
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| Model | Description | Hugging Face | ModelScope |
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| :--- | :--- | :--- | :--- |
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| **Alchemy3D** | Primary image-conditioned editing model | [libadi/Alchemy3D](https://huggingface.co/libadi/Alchemy3D) | [libd55/Alchemy3D](https://modelscope.cn/models/libd55/Alchemy3D) |
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| **Alchemy3D-Turbo** | Step-distilled variant for faster inference with competitive quality | [libadi/Alchemy3D-Turbo](https://huggingface.co/libadi/Alchemy3D-Turbo) | [libd55/Alchemy3D-Turbo](https://modelscope.cn/models/libd55/Alchemy3D-Turbo) |
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| **Alchemy3D-Flux** | Replaces DINOv3 with a Flux2 encoder for stronger PBR / appearance editing | [libadi/Alchemy3D-Flux](https://huggingface.co/libadi/Alchemy3D-Flux) | [libd55/Alchemy3D-Flux](https://modelscope.cn/models/libd55/Alchemy3D-Flux) |
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| **Alchemy3D-Instruct** | Instruction-driven editing from natural-language text instead of a target image | [libadi/Alchemy3D-Instruct](https://huggingface.co/libadi/Alchemy3D-Instruct) | [libd55/Alchemy3D-Instruct](https://modelscope.cn/models/libd55/Alchemy3D-Instruct) |
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| **Alchemy3D-Segment** | Downstream 3D part segmentation from 1–8 multi-view 2D segmentation maps | [libadi/Alchemy3D-Segment](https://huggingface.co/libadi/Alchemy3D-Segment) | [libd55/Alchemy3D-Segment](https://modelscope.cn/models/libd55/Alchemy3D-Segment) |
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## Quick Start
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Install and run from the [official repository](https://github.com/libd1/Alchemy3D).
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```python
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from alchemy3d.pipelines import Pipeline
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glb.export("example.glb")
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```
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> **Hardware:** NVIDIA GPU recommended; ~24GB VRAM is a practical minimum. See the [GitHub README](https://github.com/libd1/Alchemy3D) for full environment setup (`setup.sh`).
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## Citation
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