Z Image Omni Base: The Foundation Model for AI Image Generation
Alibaba Tongyi's open-source 6B parameter base model designed for fine-tuning, LoRA training, and custom workflows. Download from Hugging Face and run locally with ComfyUI, DiffSynth, or your own inference pipeline.
6B Parameters
Powerful yet efficient architecture optimized for training
Training-Friendly
Built for fine-tuning, LoRA, and custom model development
ComfyUI Ready
Seamless integration with popular workflows and nodes
Why Choose Z Image Omni Base?
The ideal foundation model for researchers, developers, and AI practitioners
Fully Open Source
Download weights from Hugging Face. No API keys, no rate limits. Complete control over your deployment and training pipeline.
Efficient Architecture
6B parameters strike the perfect balance between quality and resource requirements. Run on consumer GPUs with 24GB+ VRAM (fp16/bf16).
Flexible Deployment
Compatible with ComfyUI workflows, DiffSynth library, Python inference scripts, and custom training pipelines. Deploy locally or on cloud infrastructure.
High-Quality Generation
Strong baseline performance for text-to-image generation. Excellent foundation for domain-specific fine-tuning and style adaptation.
Ecosystem Compatible
Works with popular tools: ComfyUI nodes, Hugging Face Diffusers, custom training scripts. Supports standard formats and quantization.
Growing Community
Join researchers and developers building custom models, sharing workflows, and creating LoRAs. Active community support and examples.
What Can You Build?
Z Image Omni Base is designed for customization and experimentation
Fine-Tuning & LoRA Training
Train custom models on your datasets. Create LoRAs for specific styles, subjects, or domains. Full control over training parameters and data.
ComfyUI Workflows
Build advanced generation pipelines with ComfyUI nodes. Combine with ControlNet, IP-Adapter, and other extensions for powerful workflows.
Research & Development
Experiment with novel architectures, training techniques, and generation methods. Perfect for academic research and technical exploration.
Production Deployment
Deploy locally or on your infrastructure. No external API dependencies. Scale according to your needs with full control over inference.
Frequently Asked Questions
What is Z Image Omni Base?
Z Image Omni Base is a 6B parameter open-source image generation model developed by Alibaba's Tongyi Vision team. It's a base model designed specifically for fine-tuning, LoRA training, and custom model development, rather than direct end-user generation.
How do I download Z Image Omni Base?
Download the model weights from Hugging Face at huggingface.co/Tongyi-Vision/Z-Image-Omni-Base. You can use git-lfs, the Hugging Face CLI, or download directly through the web interface. Model files include safetensors weights and configuration files.
What are the system requirements and VRAM usage?
Minimum 24GB VRAM recommended for fp16/bf16 inference. 32GB+ VRAM ideal for training and fine-tuning. Supports quantization for lower VRAM usage. CPU: Modern multi-core processor. Storage: ~12GB for model weights. Compatible with CUDA-enabled NVIDIA GPUs.
How do I use Z Image Omni Base with ComfyUI?
Place the model in your ComfyUI models/checkpoints directory. Use standard checkpoint loader nodes in your workflows. Compatible with ControlNet, LoRA, and other ComfyUI extensions. Community workflows available on CivitAI and ComfyUI forums.
Can I fine-tune or train LoRAs on this model?
Yes! Z Image Omni Base is specifically designed for fine-tuning. Use standard training frameworks like Kohya_ss, DiffSynth, or custom PyTorch scripts. Supports LoRA, full fine-tuning, and DreamBooth. Training typically requires 24GB+ VRAM depending on batch size and resolution.
How does it compare to Flux, SD3, or other models?
Z Image Omni Base is a base model optimized for training, while Flux and SD3 are often released as refined models. It offers a strong foundation for custom development with 6B parameters (smaller than Flux Dev 12B, larger than SD 1.5). Best for users who want to train custom models rather than use pre-trained ones.
Can I use it for commercial purposes?
Check the model license on Hugging Face for specific terms. Generally, base models from Alibaba Tongyi allow commercial use of fine-tuned derivatives, but verify the license agreement for your use case.
Where can I get help and find resources?
Visit the Hugging Face model page for documentation. Join the ComfyUI community for workflows and tips. Check GitHub for DiffSynth integration examples. Community forums and Discord servers have active discussions about training and deployment.
Ready to Start Building?
Download Z Image Omni Base from Hugging Face and begin training your custom models today.