1.7 KiB
Processes the content with a given GPT-2 model. This is similar to the "Magic Prompts" feature of Dynamic Prompts, if you're familiar with that.
This shortcode requires the "transformers" package which is included with the WebUI by default, but you may need to install the package manually if you're using Unprompted as a standalone program.
You can leave the content blank for a completely randomized prompt.
Supports the model kwarg which can accept a pretrained model identifier from the HuggingFace hub. Defaults to LykosAI/GPT-Prompt-Expansion-Fooocus-v2. The first time you use a new model, it will be downloaded to the unprompted/models/gpt folder.
Please see the Wizard UI for a list of suggested models.
Supports the task kwarg which determines behavior of the transformers pipeline module. Defaults to text-generation. You can set this to summarization if you want to shorten your prompts a la Midjourney.
Supports the instruction kwarg which is a string to be prepended to the prompt. This text will be excluded from the final result. Example: [gpt instruction="Generate a list of animals"]cat,[/gpt] may return cat, dog, bird, horse, cow.
Supports the max_length kwarg which is the maximum number of words to be returned by the shortcode. Defaults to 50.
Supports the min_length kwarg which is the minimum number of words to be returned by the shortcode. Defaults to 1.
Supports the prefix and affix kwargs to include custom strings in the returned result.
Supports the tokenizer kwarg to load a separate model as the tokenizer.
Supports the transformers_class to specify the methods of inference, defaults to auto. Also supports t5.
Supports the unload parg to prevent keeping the model and tokenizer in memory between runs.