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Update model card.

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@@ -62,19 +62,15 @@ Weights are mirrored on Hugging Face and ModelScope. If Hugging Face is unreacha
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  | Model | Description | Hugging Face | ModelScope |
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  | :--- | :--- | :--- | :--- |
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- | **Alchemy3D** (this repo) | 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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- - **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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-
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  ## Quick Start
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- Install and run from the [official repository](https://github.com/libd1/Alchemy3D). Drop-in alternatives for the same image-conditioned API: `libadi/Alchemy3D-Turbo`, `libadi/Alchemy3D-Flux` (or the ModelScope IDs above).
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  ```python
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  from alchemy3d.pipelines import Pipeline
@@ -107,8 +103,6 @@ glb = o_voxel.postprocess.to_glb(
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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