Skip to content

Releases: JamesPerlman/TurboNeRF

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 31 Jul 01:52

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 22 Jul 22:13

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 21 Jul 03:49

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 19 Jul 00:39

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 17 Jul 01:26

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 07 Jul 20:17

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 30 Jun 04:09

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 27 Jun 02:24

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 02 May 06:53

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!

PyTurboNeRF Binaries

PyTurboNeRF Binaries Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 01 May 02:38

Choosing your Download

Below you will find multiple build artifacts for different NVIDIA architectures. It is important to download the right one. Below is a table of the most common GPUs for each supported architecture. You can find the complete list here.

Compute Capability Architecture Name Common GPUs
7.5 Turing RTX 2060 - 2080 & Ti, Quadro RTX 4000 - 8000
8.6 Ampere RTX 3050 - 3090 & Ti, RTX A2000 - A6000
8.9 Lovelace RTX 4070 - 4090, RTX 6000 Ada

Information

These are compiled binaries containing the PyTurboNeRF backend code. This is meant to be used by the Blender Addon. This project is currently in pre-alpha testing. If you'd like to know how to install it, check out this YouTube video or come to the Discord server!