---
title: Cosmos3-Super-Text2Image
emoji: 🌌
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 6.15.1
app_file: app.py
python_version: "3.12"
short_description: NVIDIA Cosmos3-Super 64B text-to-image, NVFP4 quantization
startup_duration_timeout: 1h
pinned: false
license: other
---

# 🌌 Cosmos3-Super-Text2Image

Demo of [nvidia/Cosmos3-Super-Text2Image](https://huggingface.co/nvidia/Cosmos3-Super-Text2Image) — a **64B**-parameter omnimodal world model for Physical AI — generating high-fidelity images from text on a single NVIDIA Blackwell GPU (ZeroGPU) via **NVFP4** weight-only quantization (torchao / NVIDIA ModelOpt).

## Notes

- NVIDIA officially tests this checkpoint **only at BF16**. NVFP4 is unofficial and may show quality drift compared to the full-precision recipe.
- The 64B transformer does not fit in BF16 on a single GPU, so it is loaded weight-only quantized to NVFP4 and streamed onto the ZeroGPU `xlarge` (96 GB) allocation.
- The app doubles as an **MCP server** (`mcp_server=True`) — the `generate` tool is exposed with its docstring and type hints.

## License

Model released under [OpenMDW 1.1](https://openmdw.ai/license/1-1/).