README.md

---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- animals
- style
- cat
- furry
- mythology
- egypt
- mummy
- bastet

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: bastet
widget:
- text: 'bastet, a man in a costume with a knife in his left hand, mummy style, claws, kneeling on the floor, attack pose, mummy style, wrapped in bandages '
  output:
    url: >-
      3429992.jpeg
- text: 'bastet, cat, a female bastet with heavy shoulder armor plates, green eyes, magical staff in right hand, belt with animal head, gem stone on the chest, magic staff, mummy style '
  output:
    url: >-
      3429979.jpeg
- text: 'bastet, cat, a male warrior bastet, heavy black and bronze armor, armor plates, shoulder plates, skull belt, holding weapon in his right hand, glowing white eyes '
  output:
    url: >-
      3429983.jpeg
- text: 'bastet, cat, a male bastet, man, dressed as a mummy, casting a glowing magic spell in his hand, wearing retropunk machinery on his body, '
  output:
    url: >-
      3429980.jpeg
- text: 'bastet, cat, a male bastete in a bandages, mummy, holding a magic statt with symbols in it, spiked shoulder plates, glowing white eyes, leather belt on chest, staff on the back '
  output:
    url: >-
      3429978.jpeg
- text: 'bastet, a cat, a female warrior, wearing plate armor, armor shoulder plates, black and bronze runes on the armor, wearing a hood, yellow eyes, sword on her back, shild in left hand, bandages, mummy style '
  output:
    url: >-
      3429991.jpeg
- text: 'bastet, cat, a male bastete in a bandages, mummy, holding a magic statt with symbols in it, spiked shoulder plates, glowing white eyes, leather belt on chest, staff on the back '
  output:
    url: >-
      3429982.jpeg
- text: 'bastet, a cat dressed in armor, writst armor, shoulder plates, shoulder armor, chest armor, black and bronze armor with runes, wrapped in bondages, mummy style, glowing eyes, fighting pose '
  output:
    url: >-
      3429990.jpeg
- text: 'bastet, cat, a male warrior bastet, heavy black and bronze armor, armor plates, shoulder plates, skull belt, holding weapon in his right hand, glowing white eyes '
  output:
    url: >-
      3429981.jpeg
- text: 'a bastet female cat, shaman, wizzard, sorcerer, with staff, holding staff, green eyes, '
  output:
    url: >-
      3429984.jpeg

---

# Bastet Egypt Cat Style [SDXL LoRA] 

<Gallery />



([CivitAI](https://civitai.com/models/191203))

## Model description

<p><u>SDXL:<br /></u><span style="color:rgb(193, 194, 197)">Trigger word: </span><strong><span style="color:rgb(193, 194, 197)">bastet</span></strong><br /><span style="color:rgb(193, 194, 197)">Sampling Method: </span><strong><span style="color:rgb(219, 222, 225)">DPM++ 2M SDE Karras</span></strong><br /><br />☕ Buy me a coffee: <a target="_blank" rel="ugc" href="https://ko-fi.com/ralfingerai">https://ko-fi.com/ralfingerai</a></p>

## Trigger words
You should use `bastet` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/RalFinger/bastet-egypt-cat-style-sdxl-lora/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('RalFinger/bastet-egypt-cat-style-sdxl-lora', weight_name='bastet-sdxl.safetensors')
image = pipeline('a bastet female cat, shaman, wizzard, sorcerer, with staff, holding staff, green eyes, ').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)