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📦 Hash-sum → 4b30d935fab871ec46a792522fc0f5b8 | 📌 Updated on 2026-07-01
- CPU: modern architecture (Zen 3 / Alder Lake minimum)
- RAM: 32 GB highly recommended for 26B+ GGUF models
- Storage:100 GB free space for HuggingFace cache folder
- GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference
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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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