FAQ
Last updated
Pixray generally requires a minimum of 8GB VRAM (with at least 16GB recommended for the best experience). If you do have enough VRAM, you can try any or all of the following: reducing the quality setting; reducing the size/scale of the image; reducing num_cuts and increasing batches to compensate.
Unfortunately, Pixray relies on CUDA and therefore currently only works on Nvidia GPUs. You can try running in CPU mode or using a provider like Colab.
Feel free to reach out in the #royalties channel on Discord or to dribnet if you have any specific questions about your use case. Generally speaking, the following guidelines apply:
"...For NFT projects pixray requests 5% of initial sales and 0.5% of resales to find further development and support server costs in making the online tools available for free. There are wallet addresses for various blockchains in the USE file in the repo; it is preferred that payments be done contractually and on-chain but if your platform does not support that then retroactive payments can be done by transfers..." - dribnet
"Currently for commercial projects that don't end up in the NFT market we are happy with attribution only..." - dribnet
In order to use a custom palette, you also need to set filters to lookup.
Colab can be a little finicky at times. Trying to Restart Runtime or Factory Reset Runtime can often solve transient issues. Using Colab Pro can also help with some issues you might encounter. If all else fails, feel free to reach out to the #debugging channel on Discord.