SDXL LoRA DreamBooth - kalighat-lora-4

Model description

These are kalighat-lora-4 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

Download model

Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke

• LoRA: download kalighat-lora-4.safetensors here 💾.
  • Place it on your models/Lora folder.
  • On AUTOMATIC1111, load the LoRA by adding <lora:kalighat-lora-4:1> to your prompt. On ComfyUI just load it as a regular LoRA.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('kalighat-lora-4', weight_name='pytorch_lora_weights.safetensors')

image = pipeline('in the style of TOK').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

Trigger words

You should use in the style of TOK to trigger the image generation.

Details

All Files & versions.

The weights were trained using 🧨 diffusers Advanced Dreambooth Training Script.

LoRA for the text encoder was enabled. True.

Pivotal tuning was enabled: False.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.