DiffusionTokenizer
Easily visualize tokens for any diffusion model.
You May Also Like
View AllText To Emotion Classifier
Determine emotion from text
Machine Learning
Explore and Learn ML basics
GLiNER-Multiv2.1
Identify named entities in text
GraphRAG Visualization
Generate insights and visuals from text
AI Text Detector
Detect AI-generated texts with precision
Philosophy
Search for philosophical answers by author
Gradio SentimentAnalysis
This is for learning purpose, don't take it seriously :)
Turkish Zero-Shot Text Classification With Multilingual Models
Classify Turkish text into predefined categories
Ai Capabilities
List the capabilities of various AI models
NuExtract 1.5
Playground for NuExtract-v1.5
Depot
Provide feedback on text content
Open Chinese LLM Leaderboard
Display and filter LLM benchmark results
What is DiffusionTokenizer ?
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.
Features
⢠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.
How to use DiffusionTokenizer ?
- Input a Prompt: Enter the text prompt you want to analyze.
- Generate Tokens: Click the "Tokenize" button to process the prompt.
- Analyze Results: Review the token count and visualization to understand the token distribution.
Frequently Asked Questions
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.