PromptEnhancer
Prompt-rewriting tool for enhanced image generation
GraphCanon updated 4w · GitHub synced 4w
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
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (47d since push)
- As of 4w
- Provenance
- Not a fork · Organization account
- As of 4w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install PromptEnhancerSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
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 · Jul 28, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 28, 2026)
pip install -r requirements.txtSource link
Tags
README
Option 1: Standard Installation (Recommended)
pip install -r requirements.txt
Option 2: GGUF Installation (For quantized models with CUDA support)
chmod +x script/install_gguf.sh && ./script/install_gguf.sh
💡 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 starting with the PromptEnhancer-7B model:
For agents
This page has a .md twin and JSON over the API.