Commas in Token Analysis for Stable Diffusion Prompts

Referred to generated contents by Claude Sonnet 4.

Commas in Token Analysis for Stable Diffusion Prompts

Commas play a significant role in token analysis for Stable Diffusion prompts. It is said to be highly recommended to include commas in prompts to ensure accurate tokenization.

Recommended:

"LORA_TRIGGER_WORD, person, on house, in the forest"

Not Recommended:

"LORA_TRIGGER_WORD person on house in the forest"

Token Separation

• Tokenizer processes each element separated by commas as distinct tokens.
• Avoid the risk of being treated as a combined token with LORA_TRIGGER_WORD and other elements by using commas effectively.

Clear Weight Assignment

• Stable Diffusion weights each token separately.
• Using commas allows for clear and precise weight assignment to each token.

Stable Training

• Control the same token structure when training and generating images.
• Relatively easier to get stable results for the same prompt.