Based on a ![horribly complicated multi latent fixing and upscaling](../hrf-x10-latent-upscale-was-tokens-3lora/) workflow.
This is a more complicated version of the more complicated predecesor.
This workflow
* generates 2 images.
* each image is then sampled 10 times
* then each of those is sampled 3 times
* Uses a prompt with a high degree of randomness
* figure, hair, ears, & clothing. More elements can be randomized with these as examples.
* values are picked from a list, then assigned to a token. The tokens can then be evaluated in other areas.
* Like before, I wanted all the prompt data to be shared with the image.
* In comfyui, words in {curly braces | separated by | pipes are | used to | generate} random results. Due to the way comfyui functions, an image's workflow will contain only the items in the prompt which were evaluated for the image. Other random elements will be dropped.
## The workflow
* Generates a text prompt from several randomized lists
* in order to run properly, the workflow needs a fix as talked about [here](https://github.com/wyrde/wyrde-comfyui-workflows/tree/main/basics/token-random-example)