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+    "description": "<h3 id=\"heading-54\">Check out our quickstart Guide! <a target=\"_blank\" rel=\"ugc\" href=\"https://education.civitai.com/quickstart-guide-to-stable-video-diffusion/\">https://education.civitai.com/quickstart-guide-to-stable-video-diffusion/</a></h3><p></p><p>The base <strong>img2vid</strong> model was trained to generate 14 frames at 1024x576, uses less VRAM than the...<br /><br /><strong>img2vid-xt</strong> model, trained to generate 25 frames at 1024x576.</p><p></p><p><strong>img2vid-xt-1.1</strong>, the latest version, is <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt-1-1\">finetuned</a> to provide enhanced outputs for the following settings;<br /><br /><strong>Width</strong>: 1024<br /><strong>Height</strong>: 576<br /><strong>Frames</strong>: 25<br /><strong>Motion Bucket ID</strong>: 127<br /><strong>FPS</strong>: 6<br /><strong>Augmentation Level</strong>: 0.00</p><p></p><p>Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it. Developed by: <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt\">Stability AI</a></p>",
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207992/329995/stableVideoDiffusion_img2vidXt11.json

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