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experimental playground 2.5 support

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Vladimir Mandic
2024-02-27 17:11:37 -05:00
parent c11ff37b61
commit e3c1432502
5 changed files with 60 additions and 31 deletions
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html/reference.json
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@@ -169,6 +169,11 @@
"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.",
"preview": "playgroundai--playground-v2-1024px-aesthetic.jpg"
},
"Playground v2.5": {
"path": "playground-v2.5-1024px-aesthetic.fp16.safetensors@https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic/resolve/main/playground-v2.5-1024px-aesthetic.fp16.safetensors?download=true",
"desc": "Playground v2.5 is a diffusion-based text-to-image generative model, and a successor to Playground v2. Playground v2.5 is the state-of-the-art open-source model in aesthetic quality. Our user studies demonstrate that our model outperforms SDXL, Playground v2, PixArt-α, DALL-E 3, and Midjourney 5.2.",
"preview": "playgroundai--playground-v2-1024px-aesthetic.jpg"
},
"DeepFloyd IF Medium": {
"path": "DeepFloyd/IF-I-M-v1.0",
"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.",