Detailed Explanation of Token
A token is the basic data unit used by AI models to understand and process text. Before text is sent to a model, it goes through a tokenization process, where the text is split into small pieces (tokens) that the model can understand.
The tokenization method varies from model to model. In GPT-based models, a token is typically 3-4 characters or a part of a word. For example, the word "beautiful" can be split into two tokens ("beaut" and "iful"). Agglutinative languages like Turkish generally use more tokens than English.
In image generation tools, the token concept is important in several ways. First, CLIP text encoders have a prompt token limit (typically 75-77 tokens). Prompts exceeding this limit are truncated, and instructions at the end are ignored. Second, in API-based models (DALL-E 3, Claude), cost is calculated based on token count.
Due to token limits, it is important to avoid unnecessary words when writing prompts and to place the most important instructions at the beginning of the prompt. Some tools offer a token counter feature to help users stay within limits.
As a practical example, in Midjourney, the prompt "a beautiful sunset over the ocean with dramatic clouds and golden light reflecting on water" is split into approximately 15 tokens. Midjourney's token limit is around 60 words; prompts exceeding this limit are truncated and details at the end are ignored. In DALL-E 3, ChatGPT processes and optimizes long natural language sentences before sending them to the model, so the token limit does not directly affect the user experience.
Tools on tasarim.ai where the token concept is important include Midjourney (short, concise prompts needed due to prompt length limits), DALL-E 3 (with ChatGPT's token processing layer), and Stable Diffusion (CLIP token limit of 77 tokens, with the BREAK command available for longer prompts). Understanding token limits helps write more effective prompts.
Tip for beginners: When writing prompts, avoid unnecessary words and place the most important details at the beginning of your prompt. Most models give more weight to tokens at the start of the prompt. In Stable Diffusion, you can segment your prompt using the "BREAK" command to exceed the 77-token limit. In Midjourney, keeping your prompts as short and stylistic as possible yields the best results.