🎉 [Gate 30 Million Milestone] Share Your Gate Moment & Win Exclusive Gifts!
Gate has surpassed 30M users worldwide — not just a number, but a journey we've built together.
Remember the thrill of opening your first account, or the Gate merch that’s been part of your daily life?
📸 Join the #MyGateMoment# campaign!
Share your story on Gate Square, and embrace the next 30 million together!
✅ How to Participate:
1️⃣ Post a photo or video with Gate elements
2️⃣ Add #MyGateMoment# and share your story, wishes, or thoughts
3️⃣ Share your post on Twitter (X) — top 10 views will get extra rewards!
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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.