I Ate Mushrooms
Introduction
I Ate Mushrooms is a image and noise generator based on a pretrained BIGGAN (https://github.com/huggingface/pytorch-pretrained-BigGAN). It can generate images and videos from 1000 different objects and living beings as well as interpolations and abstract variations of those images. To start, add the plugin to a solid layer.
Parameters
Ingredients
In this section you can define the content you want to display. Choose a number of classes and assign different classes and their respective influences on the image. This way you can mix different objects.
You can find a overview over the different classes here: https://www.youtube.com/watch?v=YY6LrQSxIbc
Noise
The noise that influences the generated image. “Generated” uses a precoded noise function and a seed, which is also loopable (every 360°)! “Custom Layer” lets you choose another layer which then feeds the image ai with noise.
Parameters
Resolution
The output resolution of the model. The smaller the faster.
Creativity, Empty Stomach, Bright Lights, Funky Music, Overtired
Some random sliders that affect your trip through the ai’s space alot.
Display
Scaling
How the ai’s output is scaled on the effects layer.
Interpolation
Choose “Nearest” for a blocky appeareance, and “Bilinear” “and Bicubic” for a smooth image interpolation.
Use Superresolution
An ai based upsampling of the image. This together with model resolution “Low” can give good and fast results.
Backend & Performance
Use GPU (on GPU version of the plugin only)
Run calculations on the GPU. This will give massive speedups compared to CPU mode.
Lower Precision
Compute with reduced precision if possible. This can save up to half of the memory and give you some speedups.
Computation Tiles
Split the computation into several tiles. This can help if you run out of memory.