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.
- Place it on your
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.
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