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- 🎉 Hey Gate Square friends! Non-stop perks and endless excitement—our hottest posting reward events are ongoing now! The more you post, the more you win. Don’t miss your exclusive goodies! 🚀
🆘 #Gate 2025 Semi-Year Community Gala# | Square Content Creator TOP 10
Only 1 day left! Your favorite creator is one vote away from TOP 10. Interact on Square to earn Votes—boost them and enter the prize draw. Prizes: iPhone 16 Pro Max, Golden Bull sculpture, Futures Vouchers!
Details 👉 https://www.gate.com/activities/community-vote
1️⃣ #Show My Alpha Points# | Share your Alpha points & gains
Post your - 🚀 ETH jumped to $4,600 this morning, up 8.69% in 24h!
Just shy of the $4,891 ATH—think it breaks through?
📍 Follow Gate_Square, vote and drop your reason.
🎁 4 winners split $100 Futures Voucher! - 💙 Gate Square #Gate Blue Challenge# 💙
Show your limitless creativity with Gate Blue!
📅 Event Period
August 11 – 20, 2025
🎯 How to Participate
1. Post your original creation (image / video / hand-drawn art / digital work, etc.) on Gate Square, incorporating Gate’s brand blue or the Gate logo.
2. Include the hashtag #Gate Blue Challenge# in your post title or content.
3. Add a short blessing or message for Gate in your content (e.g., “Wishing Gate Exchange continued success — may the blue shine forever!”).
4. Submissions must be original and comply with community guidelines. Plagiarism or re
Plug and play, perfectly compatible: The SD community's image video plug-in I2V-Adapter is here
Bit Recently, a new research result led by Kuaishou, "I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models", was released, which introduced an innovative image-to-video conversion method and proposed a lightweight adapter module, namely I2V-Adapter, which converts static images into dynamic videos without changing the original structure and pre-trained parameters of existing text-to-video generation (T2V) models.
Compared with existing methods, I2V-Adapter significantly reduces the trainable parameters (down to 22M, which is the mainstream solution such as Stable Video Diffusion [1][2] of 1%), which is also compatible with Stable Diffusion [3] Community-developed custom T2I model (DreamBooth [4]、Lora [5]) and control tools (ControlNet Compatibility. Through experiments, the researchers have demonstrated the effectiveness of the I2V-Adapter in generating high-quality video content, opening up new possibilities for creative applications in the field of I2V.