Easily visualize tokens for any diffusion model.
Extract bibliographical metadata from PDFs
Analyze content to detect triggers
Check text for moderation flags
Display and explore model leaderboards and chat history
Analyze sentiment of articles about trading assets
G2P
Give URL get details about the company
Demo emotion detection
Test your attribute inference skills with comments
Classify Turkish text into predefined categories
Rerank documents based on a query
Search for similar AI-generated patent abstracts
DiffusionTokenizer is a text analysis tool designed to help users visualize tokens for any diffusion model. It provides a straightforward way to generate token counts and visualizations for diffusion prompts, making it easier to understand how text is represented and processed by these models.
• Token Counting: Automatically counts the number of tokens in a given prompt. • Visualization: Generates visual representations of token distributions. • Model Compatibility: Works seamlessly with various diffusion models. • Clipboard Support: Allows easy copying of tokenized results. • Data Export: Enables users to export token data for further analysis. • User-Friendly Design: Features an intuitive interface for smooth navigation.
What is DiffusionTokenizer used for?
DiffusionTokenizer is used to analyze and visualize token representations in diffusion models, helping users understand how their prompts are processed.
What file formats can I export token data in?
Token data can be exported in formats such as CSV or JSON for further analysis.
Can I use DiffusionTokenizer with any diffusion model?
Yes, DiffusionTokenizer is designed to be compatible with most popular diffusion models.