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ENTITY Sol Attn

Sol Attn

PulseAugur coverage of Sol Attn — every cluster mentioning Sol Attn across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_277851 ·

    Stable Diffusion workflow leverages AI tools for film production

    A Reddit user detailed their workflow for creating a film using Stable Diffusion and other AI tools. The process involved modifying a ComfyUI workflow with optimizations like Sol Attn and Comfy Kitchen Sink for efficien…

  2. TOOL · CL_217546 ·

    MiniMax AI expands H3 ecosystem with new integration index

    MiniMax AI is expanding its H3 ecosystem with a new index called "Awesome MiniMax H3 Integrations." This resource tracks community-built projects leveraging the H3 model, ranging from local ComfyUI setups requiring 24GB…

  3. TOOL · CL_204230 ·

    MiniMax-H3 achieves 4.44x speedup on RTX 4090 with Sol-Attn optimization

    MiniMax AI has announced performance improvements for its MiniMax-H3 model, achieving 4.44x speedup on GeForce RTX 4090 hardware. This enhancement is attributed to the inclusion of an optimized SM89 CuTe DSL kernel with…

  4. TOOL · CL_200961 ·

    MiniMax H3 for AMD GPUs boosts Stable Diffusion performance

    A developer has released MiniMax H3, an optimized version of a diffusion model for AMD GPUs, incorporating BlockCache, Sol-Attn, and Turbo features. Testing on an RX 7900 XTX showed significant speed improvements, with …

  5. MEME · CL_188292 ·

    StableDiffusion User Compares MiniMax H3 Turbo and Sol-Attn Models

    A user on Reddit's r/StableDiffusion subreddit shared a comparison between MiniMax H3's Turbo model (8-step and 12-step versions) and Sol-Attn. The user expressed a preference for Sol-Attn with a 12-step process, priori…

  6. RESEARCH · CL_167831 ·

    Sol-Attn speeds up video generation with efficient sparse attention

    Researchers have developed Sol-Attn, a new training-free sparse attention method designed to accelerate inference for video generation models. Unlike previous methods that struggle with efficiency and accuracy due to ri…