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add playground models
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@@ -79,6 +79,26 @@
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"desc": "Kandinsky 3.0 is an open-source text-to-image diffusion model built upon the Kandinsky2-x model family. In comparison to its predecessors, Kandinsky 3.0 incorporates more data and specifically related to Russian culture, which allows to generate pictures related to Russin culture. Furthermore, enhancements have been made to the text understanding and visual quality of the model, achieved by increasing the size of the text encoder and Diffusion U-Net models, respectively.",
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"preview": "kandinsky-community--kandinsky-3.jpg"
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},
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"Playground v1": {
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"path": "playgroundai/playground-v1",
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"desc": "Playground v1 is a latent diffusion model that improves the overall HDR quality to get more stunning images.",
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"preview": "playgroundai--playground-v1.jpg"
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},
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"Playground v2 256": {
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"path": "playgroundai/playground-v2-256px-base",
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"desc": "Playground v2 is a diffusion-based text-to-image generative model. The model was trained from scratch by the research team at Playground. Images generated by Playground v2 are favored 2.5 times more than those produced by Stable Diffusion XL, according to Playground’s user study.",
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"preview": "playgroundai--playground-v2-256px-base.jpg"
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},
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"Playground v2 512": {
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"path": "playgroundai/playground-v2-512px-base",
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"desc": "Playground v2 is a diffusion-based text-to-image generative model. The model was trained from scratch by the research team at Playground. Images generated by Playground v2 are favored 2.5 times more than those produced by Stable Diffusion XL, according to Playground’s user study.",
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"preview": "playgroundai--playground-v2-512px-base.jpg"
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},
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"Playground v2 1024": {
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"path": "playgroundai/playground-v2-1024px-aesthetic",
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"desc": "Playground v2 is a diffusion-based text-to-image generative model. The model was trained from scratch by the research team at Playground. Images generated by Playground v2 are favored 2.5 times more than those produced by Stable Diffusion XL, according to Playground’s user study.",
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"preview": "playgroundai--playground-v2-1024px-aesthetic.jpg"
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},
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"DeepFloyd IF Medium": {
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"path": "DeepFloyd/IF-I-M-v1.0",
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"desc": "DeepFloyd-IF is a pixel-based text-to-image triple-cascaded diffusion model, that can generate pictures with new state-of-the-art for photorealism and language understanding. The result is a highly efficient model that outperforms current state-of-the-art models, achieving a zero-shot FID-30K score of 6.66 on the COCO dataset. It is modular and composed of frozen text mode and three pixel cascaded diffusion modules, each designed to generate images of increasing resolution: 64x64, 256x256, and 1024x1024.",
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