LTX 2.5 Studio · AI Scene Planner
🎬
45
LTX-2.5 with Studio UI, scenes, LoRA tools and audio
Abdul Muhit Temongmere PRO
abdulMuhit
AI & ML interests
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ariG23498/flow-matchingOrganizations
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Spaces 5 days ago
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Cinematic Storyboard Generator
🎬
59
Generate 8-panel cinematic storyboards from text prompts
ToonCrafter
😻
1.06k
Generate animated video from two images and a prompt
See-through: Layer Decomposition
🔍
172
Generate layered PSD of anime characters from a single image
Kimodo
🏃
312
Generate high-quality motions from text prompts
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Spaces about 2 months ago
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Spaces 2 months ago
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Spaces 3 months ago
reacted to Banaxi-Tech's post with 👍 3 months ago
Post
10768
A new model is coming!
Its going to take a long time on my 5070 Ti so expect a release in ~1 month.
We think this model is going to be SOTA For its size.
Our Mini Version will be 25M Parameters and Pro with 140M.
The Pro version has a 3072 Context Window (Extensible to up to 6K with RoPE) And the Mini version has a context window of 4096 (Up to 8K with RoPE)
Meanwhile we are currently working on a Instruct Version of our BananaMind 1.5 Base.
The training will start this weekend
We are very exited to release it when its done!
Its going to take a long time on my 5070 Ti so expect a release in ~1 month.
We think this model is going to be SOTA For its size.
Our Mini Version will be 25M Parameters and Pro with 140M.
The Pro version has a 3072 Context Window (Extensible to up to 6K with RoPE) And the Mini version has a context window of 4096 (Up to 8K with RoPE)
Meanwhile we are currently working on a Instruct Version of our BananaMind 1.5 Base.
The training will start this weekend
We are very exited to release it when its done!
- 12 replies
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model 3 months ago
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Space 3 months ago
reacted to constannnt's post with ❤️ 3 months ago
Post
10479
We are excited to announce Sipp.sh: a high-performance library for running AI inference locally and in the cloud through a unified API.
We began to realize that an LLM isn't just a chat interface for information retrieval. It can be integrated directly into web, games, or productivity apps to handle continuous monitoring and decision-making. It can act as a sort of "second brain,” the silent hand that guides and helps a user without them even realizing it. We see this as the next frontier of UX design, but this is only possible if developers have access to low-cost, zero-latency compute and absolute data privacy.
That's why we created Sipp. It’s an opinionated library that lets developers integrate local AI into any application, giving them the superpowers to completely rethink user experiences across the web, games, and desktop.
To achieve this, we built an entirely new stack in Rust and C++, working alongside the llama.cpp project. Through our work, we were able to contribute back to that community to help upgrade the GGML WebGPU backend. This deep optimization is what enables our fast, responsive decode speeds directly in the browser. Sipp ships as a zero-dependency library for desktop and web, achieving 3x to 5x speedup in token decode compared to popular alternatives.
We are already seeing some incredible use cases emerge from this, from continuous monitoring using local vision to the dynamic generation of game elements in a real-time wizard vs. wizard game.
The best part? It's fully open-source!
We see this as the start of a dialogue about what the future of user interaction is going to look like, and we built Sipp to lay the foundation for that exciting future. Check out the live demos on our site, run your own benchmarks, or come hang out with us in our Discord.
Website: https://www.sipp.sh/
Github: https://github.com/noumena-labs/Sipp
We began to realize that an LLM isn't just a chat interface for information retrieval. It can be integrated directly into web, games, or productivity apps to handle continuous monitoring and decision-making. It can act as a sort of "second brain,” the silent hand that guides and helps a user without them even realizing it. We see this as the next frontier of UX design, but this is only possible if developers have access to low-cost, zero-latency compute and absolute data privacy.
That's why we created Sipp. It’s an opinionated library that lets developers integrate local AI into any application, giving them the superpowers to completely rethink user experiences across the web, games, and desktop.
To achieve this, we built an entirely new stack in Rust and C++, working alongside the llama.cpp project. Through our work, we were able to contribute back to that community to help upgrade the GGML WebGPU backend. This deep optimization is what enables our fast, responsive decode speeds directly in the browser. Sipp ships as a zero-dependency library for desktop and web, achieving 3x to 5x speedup in token decode compared to popular alternatives.
We are already seeing some incredible use cases emerge from this, from continuous monitoring using local vision to the dynamic generation of game elements in a real-time wizard vs. wizard game.
The best part? It's fully open-source!
We see this as the start of a dialogue about what the future of user interaction is going to look like, and we built Sipp to lay the foundation for that exciting future. Check out the live demos on our site, run your own benchmarks, or come hang out with us in our Discord.
Website: https://www.sipp.sh/
Github: https://github.com/noumena-labs/Sipp
liked a
Space 3 months ago
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model 3 months ago
