
The fastest way to get this model running locally is via Optional Features.
Simply follow the directions outlined below.
The setup auto-downloads all needed files (several GBs).
Your resources are automatically evaluated to lock in the premium configuration.
🔗 SHA sum: 4443db7cd61edfbf7bd50544853dab46 | Updated: 2026-07-07
- CPU: modern architecture (Zen 3 / Alder Lake minimum)
- RAM: 48 GB needed to prevent memory swapping to disk
- Disk: 150+ GB for high-context vector database storage
- Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration
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The diffusiongemma-26B-A4B-it-NVFP4 model leverages a Gemma-based architecture to deliver high‑fidelity image generation with only 26 billion parameters. Its NVFP4 quantization enables fast inference on consumer‑grade hardware while preserving fine‑grained details. The model excels in multi‑modal prompting, accepting text instructions and producing corresponding visual outputs with impressive coherence. Compared to earlier diffusion models, it achieves a superior balance between speed and quality, making it suitable for real‑time creative workflows. Developers appreciate its seamless integration with the Transformer ecosystem and the built‑in support for conditional generation. Overall, the diffusiongemma-26B-A4B-it-NVFP4 stands out as a versatile tool for both research and production environments.
| Parameter Count |
26 B |
| Architecture |
Gemma‑based diffusion Transformer |
| Quantization |
NVFP4 |
| Max Input Tokens |
1024 |
| Output Resolution |
1024×1024 |
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