license: openrail++
library_name: diffusers
tags:
- text-to-image
- text-to-image
- diffusers-training
- diffusers
- dora
- template:sd-lora
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a photo of husky
widget: []
SDXL LoRA DreamBooth - YeBhoneLin10/husky_lora
Model description
These are YeBhoneLin10/husky_lora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
How to use
pipe.load_lora_weights('YeBhoneLin10/husky_lora',weight_name='pytorch_lora_weights.safetensors')
Training details
I used only 8 images of husky photos. I assigned the training steps to 300 steps and it gave me good result. Here is the result from my training.
Prompt: "score_9, score_8_up, score_7_up, rating_safe, husky, painterly, faux traditional media, realistic, solo, male focus, mature male, orc, tusks, blue eyes, looking at viewer, armor, shoulder armor, breastplate, pauldrons, upper body, closed mouth, standing, outdoors, night, night sky, dark background"
