1.7 KiB
FunPack Story Writer
This node is designed for generating up to 5 prompts for 5 video sequences, based on user's prompt and previous context.
It's finetuned to be used with LLaMA-3 LLM family (3, 3.1, 3.1-instruct), technically it can support LLaMA-based merges but good results are not guaranteed.
Attention: GGUF models, as well as other newer quantized models variants are not supported.
Parameters
user_prompt: Your original prompt for generating the story.
story_system_prompt: Instruction for LLM on how to process your prompt and convert it into a story.
sequence_system_prompt: Instruction for LLM on how to generate the prompt for the next sequence.
model_path_type: Choose between local .safetensors file path or download a Diffusers-format model from Huggingface.
model_path: Path to Huggingface repository.
llm_safetensors_file: Selector for local .safetensors file (should be downloaded into ComfyUI/models/clip).
prompt_count: How many prompts to generate (min 1, max 5).
top_p, top_k, temperature, max_new_tokens, repetition_penalty: Parameters responsible for more creative or more strict text generation.
mode: Generate sequences based on the story and previous sequences or generate based on user's prompt and previous sequences (story generation is skipped).
recommend_loras: Experimental feature. After generating all sequences, analyzes the list of LoRAs you have and suggests which to use in each sequence. Output is in console.
sanity_check: Perform an additional check after generating a prompt to make sure resulting prompt is matching requirements.
sanity_check_system_prompt: Instruction for LLM on how to perform sanity check.