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PromptEnhancer

Hunyuan-PromptEnhancer/PromptEnhancer

Prompt-rewriting tool for enhanced image generation

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

40views this month

3.8k stars326 forksLast push Aug 18, 2026 Python Other

Decision brief

PromptEnhancer refines text prompts for better structured input specifically in image generation tasks.

Good fit when

When working with text-to-image models where the quality of generated images is highly dependent on well-structured and clear prompts
In scenarios requiring advanced prompt engineering for precise control over aspects like object details, lighting, or composition

Avoid when

For applications not related to image generation or editing, such as natural language processing tasks that do not involve visual outputs
If the text-to-image model you are using performs well without additional prompt refinement, suggesting PromptEnhancer would provide little value

Pricing:: unknown - The pricing information for PromptEnhancer is not specified in the provided data.
Requirements:: Min 4 GB RAM

Observed Jul 16, 2026 · Source: enrich:decision_facts

PromptEnhancer alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Steady (33d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install PromptEnhancer

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

[CVPR 2026] PromptEnhancer refines prompts for clearer structured versions in text-to-image and image-editing applications.

Capability facts

Languages: python
Source: github.language · Sep 20, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

pip install -r requirements.txt

Source link

README

Option 1: Standard Installation (Recommended) Option 2: GGUF Installation (For quantized models with CUDA support) 💡 Tip : Choose GGUF installation if you want faster inference with lower memory usage, especially for the 32B model. 🎯 Quick Start For most users, we recommend sta...

For agents

This page has a .md twin and JSON over the API.

/tools/hunyuan-promptenhancer-promptenhancer.md GET /api/graphcanon/tools/hunyuan-promptenhancer-promptenhancer GET /api/graphcanon/graph?tool=hunyuan-promptenhancer-promptenhancer