metadata

tags:
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
  - text-to-image
  - diffusers
  - lora
  - template:sd-lora
widget:
  - text: in the style of TOK
    output:
      url: 000.png
  - text: Face closeup, Beautiful young woman
    output:
      url: 001.png
  - text: in the style of TOK
    output:
      url: 002.png
  - text: beautiful woman with red eyes
    output:
      url: 003.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: in the style of TOK
license: openrail++
datasets:
  - Chan-Y/Fish

Chan-Y/FantasticStyle-LoRA

Prompt
Face closeup, Beautiful young woman

Model description

These are besni 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 besni.safetensors here 💾.
- Place it on your models/Lora folder.
- On AUTOMATIC1111, load the LoRA by adding <lora:besni: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('Chan-Y/FantasticStyle-LoRA', weight_name='pytorch_lora_weights.safetensors')

image = pipeline('in the style of TOK', num_inference_steps=50).images[0]
image

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

Trigger words

You should use in the style of TOK 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.