Z-Image-Turbo Trainability Test Model
Model Purpose and Current Status
The content of this Model Card is intended to clarify the positioning of the current model: it is strictly a testing artifact for base architecture and code validation.
This model was trained based on the Z-Image-Turbo Base Model (or "Basemodel"), and its primary goal is to validate trainability and code workflow in the following areas:
Base Model Trainability Testing: To verify the potential performance of the Z-Image-Turbo Basemodel under specific datasets and training configurations.
Code and Workflow Validation: To ensure the effectiveness and stability of custom training scripts, optimizer configurations, and data processing pipelines.
⚠️ Important Notice: Optimized Model to be Released Later
Please Note:
This currently released model does not represent the final performance or the optimized version of Z-Image-Turbo.
It may contain training artifacts that are yet to be optimized, and its generation quality and efficiency may not be in the best state.
The optimized, production-ready version of the model, which features higher performance and stability, will be released at a later date.
Usage Limitations
As this model is for testing purposes only, users are advised to:
Refrain from using this model in any production environments or critical applications.
Treat it as a temporary version intended for experimentation and code validation.
QQ浏览器截图20251129053555
🤝 Cooperation and Contact
If you are interested in cooperation or have any inquiries, please contact:
