Ultimate guide to deepdaze

• deep-daze

  49 4,379 0.0 Python

  Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

To use deepdaze, we just the `imagine` command. To make specific images, use the format `imagine TEXT `. For a full guide on all the flags avalible, check out the [GitHub page](https://github.com/lucidrains/deep-daze)

• nvidia-smi.exe

  1 0 1.8

  hope this helps :)

Solution:This is due to you installing the CPU version of PyTorch. Essentially, PyTorch wasn't compiled with CUDA support. The way we fixed this was by running the `nvidia-smi.exe` file from the command line by typing `nvidia-smi.exe`. If this isn't working, check if you have this file, type `dir` and scroll down the alphabetically to where the file should be. If you still do not have the file, head over to my [nvidia-smi.exe](https://github.com/Lightning42/nvidia-smi.exe) GitHub link and download the file. Make sure to put it into your system32 directory and run it from the command line.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Pytorch

  341 78,436 10.0 Python

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  

After checking what `CUDA Version` you have, head over to https://pytorch.org/ and use it's in-built installation command generator to select the correct command to enter.

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