Zero-Click Run diffusiongemma-26B-A4B-it-NVFP4

Zero-Click Run diffusiongemma-26B-A4B-it-NVFP4

To install this model locally in the shortest time, opt for Docker.

Refer to the instructions below to proceed.

The setup auto-streams the model assets (expect a multi-GB download).

There is no manual tuning required; the builder will automatically deploy the best matching configuration.

🔍 Hash-sum: 3a2aee5c215100966b70f76beec427a5 | 🕓 Last update: 2026-06-22



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Storage:100 GB free space for HuggingFace cache folder
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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