Instructions to use suvadityamuk/Hunyuan3D-2.1-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/Hunyuan3D-2.1-diffusers-3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suvadityamuk/Hunyuan3D-2.1-diffusers-3d", 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
Hunyuan3D-2.1 (shape) for diffusers-3d
tencent/Hunyuan3D-2.1 converted into a diffusers-3d
pipeline: ordinary Diffusers and Transformers component folders plus the object3d_model_index.json sidecar that
the package's auto-loader validates before downloading anything. Nothing here requires remote code.
Install
pip install git+https://github.com/suvadityamuk/diffusers-3d.git
pip install "git+https://github.com/suvadityamuk/diffusers-3d.git#subdirectory=packages/diffusers-3d"
diffusers-3d runs every network in plain PyTorch on CPU or GPU. Rendering Gaussian splats needs the optional
gsplat backend; the PBR-textured mesh for TRELLIS.2 needs CuMesh (see the package docs).
Usage
import torch
from diffusers_3d import AutoPipelineForImageTo3D, ImageCondition
pipeline = AutoPipelineForImageTo3D.from_pretrained("suvadityamuk/Hunyuan3D-2.1-diffusers-3d", dtype=torch.float16).to("cuda")
mesh = pipeline(ImageCondition(image=rgba), generator=torch.Generator("cuda").manual_seed(0)).objects[0]
rgba is a (4, H, W) tensor in [0, 1] whose alpha channel masks the object; the pipeline crops and pads it as the released code does. This is the shape stage (hunyuan3d-dit-v2-1); the result is an untextured MeshAsset.
Components
| Folder | Class |
|---|---|
image_encoder |
transformers.Dinov2Model |
scheduler |
diffusers_3d.families.hunyuan3d.scheduler.Hunyuan3DFlowMatchEulerDiscreteScheduler |
transformer |
diffusers_3d.families.hunyuan3d.models.Hunyuan3DDiTModel |
vae |
diffusers_3d.families.hunyuan3d.vae.Hunyuan3DShapeVAE |
Provenance
Converted with diffusers-3d-convert-hunyuan3d from diffusers-3d 0.1.0.dev0; the package's family README lists the pinned upstream
revisions and how the conversion maps each tensor. Parity tests against the pinned upstream code are part of the
package test suite.
License and attribution
Tencent Hunyuan 3D 2.1 is licensed under the Tencent Hunyuan 3D 2.1 Community License Agreement, Copyright © 2025 Tencent. All Rights Reserved. The trademark rights of "Tencent Hunyuan" are owned by Tencent or its affiliate.
This repository redistributes modified Tencent Hunyuan 3D 2.1 works: diffusers-3d converted the released weights
into Diffusers component folders (parameters renamed and the ShapeVAE point-cloud encoder dropped; weight values
unchanged). The license, including its Acceptable Use Policy and the use restrictions of its Sections 5(a) and
5(b), applies to everyone who uses these files; read LICENSE-TENCENT-HUNYUAN-3D-2.1 and NOTICE before use.
The license does not apply in the European Union, the United Kingdom, or South Korea, and products above
1 million monthly active users need a separate license from Tencent. This repository and diffusers-3d are not
affiliated with, sponsored, or endorsed by Tencent.
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Base model
tencent/Hunyuan3D-2.1