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The Segmind-Vega Model is a distilled version of the Stable Diffusion XL (SDXL), offering a remarkable **70% reduction in size** and an impressive **100% speedup** while retaining high-quality text-to-image generation capabilities. Trained on diverse datasets, including Grit and Midjourney scrape data, it excels at creating a wide range of visual content based on textual prompts. Employing a knowledge distillation strategy, Segmind-Vega leverages the teachings of several expert models, including SDXL, ZavyChromaXL, and JuggernautXL, to combine their strengths and produce compelling visual outputs. The tests were conducted on an A100 80GB GPU. (Note: All times are reported with the respective tiny-VAE!)

Image generation
Input Text→ Output Image
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SSD-1B

segmind

Try out the model at Segmind SSD-1B for ⚡ fastest inference. You can also try it on 🤗 Spaces The Segmind Stable Diffusion Model (SSD-1B) is a **distilled 50% smaller** version of the Stable Diffusion XL (SDXL), offering a **60% speedup** while maintaining high-quality text-to-image generation capabilities. It has been trained on diverse datasets, including Grit and Midjourney scrape data, to enhance its ability to create a wide range of visual content based on textual prompts. This model employs a knowledge distillation strategy, where it leverages the teachings of several expert models in succession, including SDXL, ZavyChromaXL, and JuggernautXL, to combine their strengths and produce impressive visual outputs.

Image generation
Input Text→ Output Image
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tiny-sd

segmind

--- license: creativeml-openrail-m base_model: SG161222/Realistic_Vision_V4.0 datasets: - recastai/LAION-art-EN-improved-captions tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true --- This pipeline was distilled from **SG161222/Realistic_Vision_V4.0** on a Subset of **recastai/LAION-art-EN-improved-captions** dataset. Below are some example images generated with the tiny-sd model. We have observed that the distilled models are upto 80% faster than the Base SD1.5 Models. Below is a comparision on an A100 80GB.

Image generation
Input Text→ Output Image
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