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chichi-pui.com
✓ verifiedFreemium
Japanese community for posting and generating AI illustrations, with rankings, contests, a shop and a prompt library.
6.4M visits/mo
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PromptLayer
✓ verifiedFree
Prompt engineering, management, and LLM observability platform.
212K visits/mo
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦Universal Prompt creation and adaptation
- ✦Cross-model deployment
- ✦Built-in TestBed for performance gauging
- ✦Team collaboration and versioning
- ✦U-Block support for universal prompts
- ✦Midjourney AI artistic styles library
- ✦SREF codes library
- ✦Midjourney Guides
- ✦Midjourney Tools (Color Roulette, Style Benchmark)
- ✦Personal Libraries
- ✦Style Compilations
- ✦AI image generation with multiple models
- ✦Community posting for illustrations, photos, manga
- ✦Daily/weekly/monthly rankings
- ✦User contests and themed events
- ✦Prompt and model library
- ✦Coin-based ('pui') generation credits
- ✦Prompt management
- ✦Prompt evaluations
- ✦LLM observability
- ✦Team collaboration
- ✦Version control for prompts
- ✦A/B testing of prompts
- ✦Prompt Registry
- ✦Historical backtests
- ✦Regression tests
- ✦Usage monitoring
Use cases
- →Creating prompts that work consistently across different AI models without manual rewriting.
- →Building and deploying prompts for applications requiring integration with multiple LLMs.
- →Collaborating with team members on prompt engineering and management.
- →Testing and optimizing prompt performance across various models.
- →Exploring different artistic styles for Midjourney AI
- →Finding SREF codes for specific styles
- →Learning how to use Midjourney effectively
- →Creating consistent and visually appealing AI art
- →Generating unique and creative images with Midjourney
- →Generate AI illustrations
- →Share and rank AI artwork
- →Join themed art contests
- →Find prompts and models
- →Scaling customer support automation with LLMs
- →Empowering non-technical teams with prompt engineering
- →Building personalized AI interactions
- →Debugging LLM agents
- →Improving content creation processes
- →Managing and monitoring prompts with a team
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