SDXL LoRA DreamBooth - jcjo/pjy-cat-sd-lora

Model description

These are jcjo/pjy-cat-sd-lora 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 [/content/drive/MyDrive/Colab_Notebooks/DA Matching Algorithm/AI/pet_babyAI//ckpt/cat3.safetensors here 💾](/jcjo/pjy-cat-sd-lora/blob/main//content/drive/MyDrive/Colab_Notebooks/DA Matching Algorithm/AI/pet_babyAI//ckpt/cat3.safetensors).
  • Place it on your models/Lora folder.
  • On AUTOMATIC1111, load the LoRA by adding <lora:/content/drive/MyDrive/Colab_Notebooks/DA Matching Algorithm/AI/pet_babyAI//ckpt/cat3:1> 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('jcjo/pjy-cat-sd-lora', weight_name='pytorch_lora_weights.safetensors')

image = pipeline('True').images[0]

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

Trigger words

You should use realistic, 4k, high resolution cat, 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.