Tojak/test_lora-dog-626d7ad2-c5e8

SDXL LoRA DreamBooth - 626d7ad2-c5e8-4d58-88a9-42a3114f852d

Model description

These are 626d7ad2-c5e8-4d58-88a9-42a3114f852d LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

Trigger words

You should use a ohwx character to trigger the image generation.

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('626d7ad2-c5e8-4d58-88a9-42a3114f852d', weight_name='pytorch_lora_weights.safetensors')

image = pipeline('a ohwx character').images[0]

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

Download model

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

• Download the LoRA *.safetensors here. Rename it and place it on your Lora folder.
• Download the text embeddings *.safetensors here. Rename it and place it on it on your embeddings folder.

All Files & versions.

Details

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.