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hy3d_2_turbo_fp8
codemichaeld/hy3d_2_turbo_fp8
hy3d_2_turbo_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/hunyuan3D2.0repackaged - Original File(s): hunyuan3d-dit-v2-mv-turbofp16.safetensors - Original Format: safetensors - FP8 Format: E4M3FN - FP8 File: hunyuan3d-dit-v2-mv-turbo…
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.safetensors2.5 GB · 100%
At a glance
- Library
- diffusers
- Access
- Public
- Created
- May 2, 2026
- Updated
- May 2, 2026
- SHA
- a2226024
Model card
From the Hugging Face model README
FP8 Model Conversion
- Source:
https://huggingface.co/Comfy-Org/hunyuan3D_2.0_repackaged - Original File(s):
hunyuan3d-dit-v2-mv-turbo_fp16.safetensors - Original Format:
safetensors - FP8 Format:
E4M3FN - FP8 File:
hunyuan3d-dit-v2-mv-turbo_fp16-fp8-e4m3fn.safetensors
Usage
from safetensors.torch import load_file
import torch
# Load FP8 model
fp8_state = load_file("hunyuan3d-dit-v2-mv-turbo_fp16-fp8-e4m3fn.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: 1649
- Converted to FP8: 1649
- Skipped (non-float): 0
- Library
- diffusers
- Created
- May 2, 2026
- Updated
- May 2, 2026