metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - female
  - feline
  - fur
  - cat
  - animal
  - gozer
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: gzr cat
widget:
  - text: ' '
    output:
      url: 2175967.jpeg
  - text: ' '
    output:
      url: 2176131.jpeg
  - text: ' '
    output:
      url: 2175965.jpeg
  - text: ' '
    output:
      url: 2175966.jpeg
  - text: ' '
    output:
      url: 2176159.jpeg
  - text: ' '
    output:
      url: 2176083.jpeg
  - text: ' '
    output:
      url: 2176075.jpeg
  - text: ' '
    output:
      url: 2176339.jpeg

Gozer Cat - 218MB LoRA - XL

Model description

Gozer the Gozerian is a beautiful sweet lazy cat.

The 100 epochs 218MB XL version I followed AI_Characters's guide on LoRA settings but with my own cat regulation images.

Trigger words

You should use gzr cat to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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('DoctorDiffusion/gozer-cat-218mb-lora-xl', weight_name='DD-gzr-cat-XL-v1.safetensors')
image = pipeline('`gzr cat`').images[0]

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