{
    "models": {
        
        "sd-dreambooth-library/solo-levelling-art-style": {
            "use_safetensors": false,
            "description": "see https://huggingface.co/sd-dreambooth-library/solo-levelling-art-style",
            "scheduler": "DDIMScheduler",
            "refiner": "none",
            "trigger_token": ""
        },
        "CompVis/stable-diffusion-v1-4": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/CompVis/stable-diffusion-v1-4",
            "scheduler": "EulerDiscreteScheduler",
            "refiner": "none",
            "trigger_token": ""
        },
        "runwayml/stable-diffusion-v1-5": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/runwayml/stable-diffusion-v1-5",
            "scheduler": "DDPMScheduler",
            "refiner": "none",
            "trigger_token": ""
        },
        "stabilityai/stable-diffusion-2-1": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/stabilityai/stable-diffusion-2-1",
            "scheduler": "DPMSolverMultistepScheduler",
            "refiner": "none",
            "trigger_token": ""
        },
        "stabilityai/stable-diffusion-xl-base-1.0": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0",
            "scheduler": "DDPMScheduler",
            "refiner": "stabilityai/stable-diffusion-xl-refiner-1.0",
            "trigger_token": ""
        },
        "sd-dreambooth-library/house-emblem": {
            "use_safetensors": false,
            "description": "see https://huggingface.co/sd-dreambooth-library/house-emblem",
            "scheduler": "DDPMScheduler",
            "refiner": "none",
            "trigger_token": ""
        },
        "Envvi/Inkpunk-Diffusion": {
            "use_safetensors": false,
            "description": "see https://huggingface.co/Envvi/Inkpunk-Diffusion",
            "scheduler": "DDPMScheduler",
            "refiner": "none",
            "trigger_token": ""
        },
        "Stelath/textual_inversion_comic_strip_fp16": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/Stelath/textual_inversion_comic_strip_fp16",
            "scheduler": "DDPMScheduler",
            "refiner": "none",
            "trigger_token": ""
        },
        "sd-dreambooth-library/herge-style": {
            "use_safetensors": false,
            "description": "see https://huggingface.co/sd-dreambooth-library/herge-style",
            "scheduler": "DDPMScheduler",
            "refiner": "none",
            "trigger_token": "herge_style"
        }

    },
    "devices": [
        "cpu", "cuda", "mps", "gpu"
    ],
    "backup_devices": [
        "cpu", "cuda", "ipu", "xpu", "mkldnn", "opengl", "opencl", "ideep", "hip", "ve", "fpga", "ort", "xla", "lazy", "vulkan", "mps", "meta", "hpu", "mtia", "privateuseone", "gpu"
    ],
    "schedulers": {
        "DDPMScheduler":                    "Denoising Diffusion Probabilistic Model",  
        "DDIMScheduler":                    "Denoising Diffusion Incremental Sampling, efficient image generation, might require more tunin",  
        "PNDMScheduler":                    "Pseudo Numerical Methods for Diffusion Models, not compatible with DDPM pipelines, probably more flexible but with in increased complexity and performance trade-offs",
        "LMSDiscreteScheduler":             "Linear Multistep Scheduler, often leads to better quality results, linear approach, pre-defined noise levels at each step",
        "EulerDiscreteScheduler":           "can achieve high quality images with fewer steps, predefined set of noise levels for each step",
        "EulerAncestralDiscreteScheduler":  "can achieve high quality images with fewer steps, incorporates ancestral sampling for potentially improved image quality but less speed as its twin",
        "DPMSolverMultistepScheduler":      "offers a balance between speed and quality, potentially better than Euler in speed and quality, faster than PNDM, similar to LMS"
    },
    "negative_prompts": [
        "lowres, cropped, worst quality, low quality"
    ]
}