Model reference · open weights
renderformer-swin-large is an open-weight image model from microsoft. renderformer-v1.1-swin-large (FP32) weighs 967 MB; the smallest configuration that runs it is RTX 3060 12 GB.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
Summary of the microsoft/renderformer-v1.1-swin-large model card, 2026-10-01
What it is
| Released by | microsoft |
|---|---|
| Released | 2025-05-15 |
| Parameters | 483M |
| VRAM | 967 MB for the weights |
What it runs on
| Card | One image | Memory |
|---|---|---|
| RTX 3060 12 GB | fits | 11.6 GB |
| RTX 4060 Ti 16 GB | fits | 15.4 GB |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
From the model card
This repo contains the weights of RenderFormer-V1.1-Large.
For more information, see the paper.
Please refer to our Github Repo and Paper.
If you find our repository useful, please cite our paper in your work:
@inproceedings {zeng2025renderformer,
title = {RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination},
author = {Chong Zeng and Yue Dong and Pieter Peers and Hongzhi Wu and Xin Tong},
booktitle = {ACM SIGGRAPH 2025 Conference Papers},
year = {2025}
}
https://huggingface.co/microsoft/renderformer-v1.1-swin-large/blob/main/data_summary_card.md
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
Running it yourself
Rent a machine by the hour. How to run this model is on its model card.