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metadata
tags:
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
  - diffusers-training
  - text-to-image
  - diffusers
  - lora
  - template:sd-lora
widget:
  - text: an astronaut on the moon, in the style of TOK
    output:
      url: image_0.png
  - text: an astronaut on the moon, in the style of TOK
    output:
      url: image_1.png
  - text: an astronaut on the moon, in the style of TOK
    output:
      url: image_2.png
  - text: an astronaut on the moon, in the style of TOK
    output:
      url: image_3.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
license: openrail++

SDXL LoRA DreamBooth - Zoahmed1/lora_illustrations_lora_output

Prompt
an astronaut on the moon, in the style of TOK
Prompt
an astronaut on the moon, in the style of TOK
Prompt
an astronaut on the moon, in the style of TOK
Prompt
an astronaut on the moon, in the style of TOK

Model description

These are Zoahmed1/lora_illustrations_lora_output 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

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('Zoahmed1/lora_illustrations_lora_output', weight_name='pytorch_lora_weights.safetensors')

image = pipeline('an astronaut on the moon, in the style of TOK').images[0]

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

Trigger words

You should use 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.