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wan_1.3b_v4-fp8
codemichaeld/wan_1.3b_v4-fp8
wan_1.3b_v4-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/Kijai/WanVideocomfy/OneToAllAnimation - Original File(s): Wan21-OneToAllAnimation13Bv2fp16.safetensors - Original Format: safetensors - FP8 Format: E5M2 - FP8 File: Wan21-OneToAllAnima…
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.safetensors2.2 GB · 100%
At a glance
- Library
- diffusers
- Access
- Public
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025
- SHA
- 4a6206e2
Model card
From the Hugging Face model README
FP8 Model Conversion
- Source:
https://huggingface.co/Kijai/WanVideo_comfy/OneToAllAnimation - Original File(s):
Wan21-OneToAllAnimation_1_3B_v2_fp16.safetensors - Original Format:
safetensors - FP8 Format:
E5M2 - FP8 File:
Wan21-OneToAllAnimation_1_3B_v2_fp16-fp8-e5m2.safetensors
Usage
from safetensors.torch import load_file
import torch
# Load FP8 model
fp8_state = load_file("Wan21-OneToAllAnimation_1_3B_v2_fp16-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: 1329
- Converted to FP8: 1329
- Skipped (non-float): 0
- Library
- diffusers
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025