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{
"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-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"
]
} |