metadata

tags:
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
  - diffusers-training
  - text-to-image
  - diffusers
  - dora
  - template:sd-lora
widget:
  - text: a TOK emoji dressed as yoda
    output:
      url: image_0.png
  - text: a TOK emoji dressed as yoda
    output:
      url: image_1.png
  - text: a TOK emoji dressed as yoda
    output:
      url: image_2.png
  - text: a TOK emoji dressed as yoda
    output:
      url: image_3.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a TOK emoji
license: openrail++

SDXL LoRA DreamBooth - linoyts/huggy_dora_v4_te

Model description

These are linoyts/huggy_dora_v4_te 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 huggy_dora_v4_te.safetensors here 💾.
- Place it on your models/Lora folder.
- On AUTOMATIC1111, load the LoRA by adding <lora:huggy_dora_v4_te: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('linoyts/huggy_dora_v4_te', weight_name='pytorch_lora_weights.safetensors')

image = pipeline('a TOK emoji dressed as yoda').images[0]

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

Trigger words

You should use a TOK emoji 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.