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Releases: JamesPerlman/TurboNeRF

PyTurboNeRF Binaries

31 Jul 01:52
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PyTurboNeRF Binaries Pre-release
Pre-release

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

22 Jul 22:13
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PyTurboNeRF Binaries Pre-release
Pre-release

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

21 Jul 03:49
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PyTurboNeRF Binaries Pre-release
Pre-release

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

19 Jul 00:39
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PyTurboNeRF Binaries Pre-release
Pre-release

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

17 Jul 01:26
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PyTurboNeRF Binaries Pre-release
Pre-release

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

07 Jul 20:17
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PyTurboNeRF Binaries Pre-release
Pre-release

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

30 Jun 04:09
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PyTurboNeRF Binaries Pre-release
Pre-release

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

27 Jun 02:24
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PyTurboNeRF Binaries Pre-release
Pre-release

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

02 May 06:53
Compare
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PyTurboNeRF Binaries Pre-release
Pre-release

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

01 May 02:38
Compare
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PyTurboNeRF Binaries Pre-release
Pre-release

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!