{
    "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",
            "trigger_token": ""
        },
        "CompVis/stable-diffusion-v1-4": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/CompVis/stable-diffusion-v1-4",
            "scheduler": "EulerDiscreteScheduler",
            "trigger_token": ""
        },
        "runwayml/stable-diffusion-v1-5": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/runwayml/stable-diffusion-v1-5",
            "scheduler": "DDPMScheduler",
            "trigger_token": ""
        },
        "stabilityai/stable-diffusion-2-1": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/stabilityai/stable-diffusion-2-1",
            "scheduler": "DPMSolverMultistepScheduler",
            "trigger_token": ""
        },
        "stabilityai/stable-diffusion-3-medium-diffusers": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/stabilityai/stable-diffusion-3-medium",
            "scheduler": "DPMSolverMultistepScheduler",
            "trigger_token": "",
            "pipeline": "StableDiffusion3Pipeline"
        },
        "stabilityai/stable-diffusion-xl-base-1.0": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0",
            "scheduler": "DDPMScheduler",
            "trigger_token": ""
        },
        "sd-dreambooth-library/house-emblem": {
            "use_safetensors": false,
            "description": "see https://huggingface.co/sd-dreambooth-library/house-emblem",
            "scheduler": "DDPMScheduler",
            "trigger_token": ""
        },  
        "Envvi/Inkpunk-Diffusion": {
            "use_safetensors": false,
            "description": "see https://huggingface.co/Envvi/Inkpunk-Diffusion",
            "scheduler": "DDPMScheduler",
            "trigger_token": "nvinkpunk"
        },
        "Stelath/textual_inversion_comic_strip_fp16": {
            "use_safetensors": true,
            "description": "see https://huggingface.co/Stelath/textual_inversion_comic_strip_fp16",
            "scheduler": "DDPMScheduler",
            "trigger_token": ""
        },
        "sd-dreambooth-library/herge-style": {
            "use_safetensors": false,
            "description": "see https://huggingface.co/sd-dreambooth-library/herge-style",
            "scheduler": "DDPMScheduler",
            "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"
    ],
    "refiners": ["stabilityai/stable-diffusion-xl-refiner-1.0"],
    "auto_encoders": {
        "None": "",
        "stabilityai/sdxl-vae": "finetuned auto encoder for stable diffusion models, see https://huggingface.co/stabilityai/sdxl-vae",
        "madebyollin/sdxl-vae-fp16-fix": "stable diffusion models encoder with fp16 precision, see https://huggingface.co/madebyollin/sdxl-vae-fp16-fix",
        "stabilityai/sd-vae-ft-mse": "works best with CompVis/stable-diffusion-v1-4, see https://huggingface.co/stabilityai/sd-vae-ft-mse"
    },
    "adapters": {
        "textual_inversion": {
            "None": {"token": "", "description": ""},
            "sd-concepts-library/gta5-artwork": {
                "token": "<gta-artwork>",
                "description": "see https://huggingface.co/sd-concepts-library/gta5-artwork"
            }
        },
        "lora": {
            "nerijs/pixel-art-xl": {
                "token": "pixel",
                "weight": "pixel-art-xl.safetensors",
                "description": "see https://huggingface.co/nerijs/pixel-art-xl"
            },
            "ByteDance/SDXL-Lightning": {
                "token": "SDXLL",
                "weight": "sdxl_lightning_4step_lora.safetensors",
                "description": "see https://huggingface.co/ByteDance/SDXL-Lightning"
            },
            "super-cereal-sdxl-lora": {
                "token": "cereals",
                "weight": "cereal_box_sdxl_v1.safetensors",
                "description": "see https://huggingface.co/ostris/super-cereal-sdxl-lora"
            },
            "CiroN2022/toy-face": {
                "token": "toy face",
                "weight": "toy_face_sdxl.safetensors",
                "description": "see https://huggingface.co/CiroN2022/toy-face"
            },
            "latent-consistency/lcm-lora-sdxl": {
                "token": "lora",
                "weight": "None",
                "description": "required base model is stabilityai/stable-diffusion-xl-base-1.0; required scheduler is LCMScheduler, Latent Consistency Models (LCM) enable quality image generation in typically 2-4 steps making it possible to use diffusion models in almost real-time settings; see, https://huggingface.co/docs/diffusers/using-diffusers/inference_with_lcm_lora and https://huggingface.co/latent-consistency/lcm-lora-sdxl"
            }
        }
    },
    "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"
    ]
}