SDXL LoRA DreamBooth - linoyts/linoy_lora_unet
Model description
These are linoyts/linoy_lora_unet 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
linoy_lora_unet.safetensors
here 💾.- Place it on your
models/Lora
folder. - On AUTOMATIC1111, load the LoRA by adding
<lora:linoy_lora_unet: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('linoyts/linoy_lora_unet', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('a TOK woman with pink hair at a party').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Trigger words
You should use photo of a TOK woman 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. False.
Pivotal tuning was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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Model tree for linoyts/linoy_lora_unet
Base model
stabilityai/stable-diffusion-xl-base-1.0