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Vladimir Mandic
2024-02-02 10:07:15 -05:00
parent 8c3e92b154
commit 9acc6259bb
6 changed files with 61 additions and 4 deletions
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html/reference.json
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@@ -44,18 +44,22 @@
},
"StabilityAI SD-XL 1.0 Base": {
"path": "stabilityai/stable-diffusion-xl-base-1.0",
"variant": "fp16",
"desc": "Stable Diffusion XL (SDXL) is the latest AI image generation model that is tailored towards more photorealistic outputs with more detailed imagery and composition compared to previous SD models, including SD 2.1. It can make realistic faces, legible text within the images, and better image composition, all while using shorter and simpler prompts at a greatly increased base resolution of 1024x1024. Just like its predecessors, SDXL has the ability to generate image variations using image-to-image prompting, inpainting (reimagining of the selected parts of an image), and outpainting (creating new parts that lie outside the image borders).",
"preview": "stabilityai--stable-diffusion-xl-base-1.0.jpg"
},
"StabilityAI SD 2.1 Turbo": {
"path": "stabilityai/sd-turbo",
"alt": "sd_turbo.safetensors@https://huggingface.co/stabilityai/sd-turbo/resolve/main/sd_turbo.safetensors?download=true",
"variant": "fp16",
"desc": "SD-Turbo is a distilled version of Stable Diffusion 2.1, trained for real-time synthesis. SD-Turbo is based on a novel training method called Adversarial Diffusion Distillation (ADD) (see the technical report), which allows sampling large-scale foundational image diffusion models in 1 to 4 steps at high image quality. This approach uses score distillation to leverage large-scale off-the-shelf image diffusion models as a teacher signal and combines this with an adversarial loss to ensure high image fidelity even in the low-step regime of one or two sampling steps.",
"preview": "stabilityai--sd-turbo.jpg",
"original": true
},
"StabilityAI SD-XL Turbo": {
"path": "stabilityai/sdxl-turbo",
"alt": "sdxl_turbo.safetensors@https://huggingface.co/stabilityai/sdxl-turbo/resolve/main/sdxl_turbo.safetensors?download=true",
"variant": "fp16",
"desc": "SDXL-Turbo is a distilled version of SDXL 1.0, trained for real-time synthesis. SDXL-Turbo is based on a novel training method called Adversarial Diffusion Distillation (ADD) (see the technical report), which allows sampling large-scale foundational image diffusion models in 1 to 4 steps at high image quality. This approach uses score distillation to leverage large-scale off-the-shelf image diffusion models as a teacher signal and combines this with an adversarial loss to ensure high image fidelity even in the low-step regime of one or two sampling steps.",
"preview": "stabilityai--sdxl-turbo.jpg"
},