pjy-cat-sd-lora

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

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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 <pjy0><pjy1> 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.