Downloads · 30 days
9
17% of all-time downloads
zavychromaxl_FP8
codemichaeld/zavychromaxl_FP8
zavychromaxl_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/misri/zavychromaxlv100 - Original File(s): zavychromaxlv100.safetensors - Original Format: safetensors - FP8 Format: E5M2 - FP8 File: zavychromaxlv100-fp8-e5m2.safetensors
All-time downloads
54
Public
Repo size
3.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.5 GB · 100%
At a glance
- Library
- diffusers
- Access
- Public
- Created
- May 28, 2026
- Updated
- May 28, 2026
- SHA
- 4129c0f1
Model card
From the Hugging Face model README
FP8 Model Conversion
- Source:
https://huggingface.co/misri/zavychromaxl_v100 - Original File(s):
zavychromaxl_v100.safetensors - Original Format:
safetensors - FP8 Format:
E5M2 - FP8 File:
zavychromaxl_v100-fp8-e5m2.safetensors
Usage
from safetensors.torch import load_file
import torch
# Load FP8 model
fp8_state = load_file("zavychromaxl_v100-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: 2515
- Converted to FP8: 2515
- Skipped (non-float): 0
- Library
- diffusers
- Created
- May 28, 2026
- Updated
- May 28, 2026