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---
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:
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- text: ' '
output:
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- text: ' '
output:
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- text: ' '
output:
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- text: ' '
output:
url: >-
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- text: ' '
output:
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- text: ' '
output:
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- text: ' '
output:
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---
# Gozer Cat - 218MB LoRA - XL
<Gallery />
## Model description
<p><a rel="ugc" href="https://www.instagram.com/gozerbaby/">Gozer the Gozerian</a> is a beautiful sweet lazy cat.<br /><br /><span style="color:rgb(193, 194, 197)">The 100 epochs 218MB XL version I followed </span><a target="_blank" rel="ugc" href="https://civitai.com/articles/1771/how-to-create-near-perfect-character-and-style-loras-for-sdxl-10-important-update-19082023"><strong><span style="color:rgb(193, 194, 197)">AI_Characters's</span></strong></a><span style="color:rgb(193, 194, 197)"> </span><a target="_blank" rel="ugc" href="https://civitai.com/articles/1771/how-to-create-near-perfect-character-and-style-loras-for-sdxl-10-important-update-19082023">guide on LoRA settings</a><span style="color:rgb(193, 194, 197)"> but with my own cat regulation images.</span></p>
## Trigger words
You should use `gzr cat` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/DoctorDiffusion/gozer-cat-218mb-lora-xl/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)