Pollinations Extension의 버전 기록 - 2개 버전
Pollinations Extension 제작자: ChunkyPanda
Pollinations Extension의 버전 기록 - 2개 버전
이전 버전의 사용에 주의하십시오! 이 버전들은 테스트 및 참조 용도로만 표시되는 것입니다.항상 최신 버전의 부가 기능을 사용해야 합니다.
최신 버전
버전 1.0.6
2026년 3월 8일에 출시 - 1.87 MBfirefox 113.0 이상에서 작동Version 1.0.6 - The Quad-Modal Update
We are thrilled to bring the full Pollinations.ai experience to Firefox with our biggest update yet!
🌸 QUAD-MODAL GENERATION:
Experience the power of four modalities in one sidebar. We now fully support:
Image: Flux, Turbo, and Realism models.
Video: Text-to-Video and Image-to-Video with duration controls.
Audio: Text-to-Speech (TTS) and Music generation.
Text: LLM Chat for coding, writing, and research.
✨ NEW FEATURES:
Generation History: Never lose your work again. Your creations are now saved in a persistent local history grid for 24+ hours.
4K Quality Scaling: Need higher resolution? Select your aspect ratio, then use the new 1x-4x Quality Multiplier to boost your output pixel density effortlessly.
Enhanced Customization: Enjoy our new rounded UI with three theme modes (Dark, Mid, Light) and three accent colors (Pink, Blue, and Pollinations Purple).
Native Account Auth: Easily link your Pollinations.ai account for a seamless "Bring Your Own Pollen" (BYOP) experience.
🛠️ IMPROVEMENTS:
Smart Model Updates: The extension now dynamically updates its model registry daily to ensure you always have access to the latest models and voice options.
Enhanced Media Protocol: Uses efficient Media Hashes for better performance and privacy.
Content Safety: Toggleable safety filters for raw/unfiltered generations.MIT 라이선스에 따라 릴리스된 소스 코드
이전 버전
버전 1.0.5
2026년 3월 5일에 출시 - 1.87 MBfirefox 113.0 이상에서 작동v1.0.5 Release Notes:
✨ Daily Model Updates: The extension now automatically fetches the latest AI models every 24 hours, ensuring you always have access to the newest Pollinations releases.
💎 Premium Indicators: Models are now clearly labeled with a diamond (💎) if they require paid credits.
🛠️ Capability Tags: The model dropdown now explicitly displays what each model supports (e.g., T2I for Text-to-Image, I2V for Image-to-Video) to help you choose the right tool for the job.MIT 라이선스에 따라 릴리스된 소스 코드