Z-Image Supervised FineTune (FP32)
This repository provides an FP32 (32-bit floating point) version of the Z-Image Supervised FineTune model.
The FP32 variant is intended for research, analysis, and compatibility testing, and preserves the model in full numerical precision compared to reduced-precision releases (e.g. BF16).
Model Overview
- Model name: Z-Image Supervised FineTune (FP32)
- Precision: FP32
- Task: Image generation
- Framework: PyTorch
- Weights format:
.safetensors
This release is functionally equivalent to the original Z-Image Supervised FineTune architecture, differing only in numerical precision.
FP32 inference on consumer GPUs may be slower than BF16.
🔗 Credits & Source Code
@article{team2025zimage,
title={Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer},
author={Z-Image Team},
journal={arXiv preprint arXiv:2511.22699},
year={2025}
}
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Disclaimer: These files are provided "as is" for experimental builds. Please check the original repositories for licensing information regarding commercial use.
