Downloads · 30 days
30
51% of all-time downloads
hunyuan_3d_v2_1_fp8
codemichaeld/hunyuan_3d_v2_1_fp8
hunyuan_3d_v2_1_fp8 is a machine learning model from codemichaeld. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers.
- Source: https://huggingface.co/Comfy-Org/hunyuan3D2.1repackaged - Original File(s): hunyuan3dv2.1.safetensors - Original Format: safetensors - FP8 Format: E5M2 - FP8 File: hunyuan3dv2.1-fp8-e5m2.safetensors
All-time downloads
59
Public
Repo size
3.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.7 GB · 100%
At a glance
- Library
- diffusers
- Access
- Public
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026
- SHA
- 21d41236
Model card
From the Hugging Face model README
FP8 Model Conversion
- Source:
https://huggingface.co/Comfy-Org/hunyuan3D_2.1_repackaged - Original File(s):
hunyuan_3d_v2.1.safetensors - Original Format:
safetensors - FP8 Format:
E5M2 - FP8 File:
hunyuan_3d_v2.1-fp8-e5m2.safetensors
Usage
from safetensors.torch import load_file
import torch
# Load FP8 model
fp8_state = load_file("hunyuan_3d_v2.1-fp8-e5m2.safetensors")
# Convert tensors back to float32 for computation (auto-converted by PyTorch)
model.load_state_dict(fp8_state)
Note: FP8 tensors are automatically converted to float32 when loaded in PyTorch. Requires PyTorch ≥ 2.1 for FP8 support.
Statistics
- Total tensors: 1601
- Converted to FP8: 1601
- Skipped (non-float): 0
- Library
- diffusers
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026