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nofl

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microsoft/OmniParser-v2

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meta-llama/Meta-Llama-3-8B-Instruct

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OmniParser V2

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OmniParser, turn your LLM into GUI agent

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meta-llama/Meta-Llama-3-8B-Instruct

Text Generation • Updated Sep 27, 2024 • 1.83M • • 3.83k

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LGM-Mini

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Generate 3D models from images

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yl4579/StyleTTS2-LJSpeech

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LLaMA Board

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Fine-tuning large language model with Gradio UI

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onnx-community/Kokoro-82M-ONNX

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Kokoro Text-to-Speech (WebGPU)

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High-quality speech synthesis powered by Kokoro TTS

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Text Generation • Updated Sep 25, 2024 • 715k • • 325

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State-Space-Model powered Language Models for Apple Silicon • 12 items • Updated Aug 27, 2024 • 5

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cartesia-ai/Rene-v0.1-1.3b-pytorch

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GitHub README Profile Generator

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AI-powered GitHub README profile generator with customizable

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CPU BlazeChat

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Generate text and images using advanced AI models on CPU

Mixture Of Diffusers SDXL Tiling

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Mixture of Diffusers implementation for XL Stable Diffusion

reacted to elismasilva's post with 👀 8 days ago

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Mixture-of-Diffusers pipeline tiling for SDXL

This strives to provide a better tool for image composition by using several diffusion processes in parallel, each configured with a specific prompt and settings, and focused on a particular region of the image. The mixture of diffusion processes is done in a way that harmonizes the generation process, preventing "seam" effects in the generated image. Using several diffusion processes in parallel has also practical advantages when generating very large images, as the GPU memory requirements are similar to that of generating an image of the size of a single tile.

elismasilva/mixture-of-diffusers-sdxl-tiling