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- Gate July 2025 Transparency Report:
Accelerating Leadership in the Global Crypto Landscape!
#GateTransparencyReport# - 📢 Gate Square Exclusive: #PUBLIC Creative Contest# Is Now Live!
Join Gate Launchpool Round 297 — PublicAI (PUBLIC) and share your post on Gate Square for a chance to win from a 4,000 $PUBLIC prize pool
🎨 Event Period
Aug 18, 2025, 10:00 – Aug 22, 2025, 16:00 (UTC)
📌 How to Participate
Post original content on Gate Square related to PublicAI (PUBLIC) or the ongoing Launchpool event
Content must be at least 100 words (analysis, tutorials, creative graphics, reviews, etc.)
Add hashtag: #PUBLIC Creative Contest#
Include screenshots of your Launchpool participation (e.g., staking record, reward - 🎉 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
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Generate 110 images per second! StreamDiffusion is open source
Bit News According to the webmaster's home on December 22: StreamDiffusion is an Open Source project that has recently caused heated discussions on Twitter. Based on LCM and SDXL Turbo technology, this project is capable of generating 110 images per second, providing a noteworthy resource for those who want to develop real-time image generation products. This project is primarily designed for real-time image generation services and provides significant enhancements in terms of performance.
StreamDiffusion supports a wide range of models and output frame rates. Among them, the SD-turbo model reaches 106 frames per second for t2i and 93 for i2i in 1 step. The LCM-LoRA+KohakuV2 model has a frame rate of 38 for t2i and 37 for i2i in the case of 4 steps. These data show the efficient performance of StreamDiffusion in terms of image generation.