| { | |
| "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" | |
| ], | |
| "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" | |
| } | |
| } | |
| }, | |
| "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" | |
| ] | |
| } |