---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- style
- gargoyle
- gargoyles tv show
- gargoyles comic
- protoart
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: gargoyles_comic
widget:
- text: ' '
output:
url: >-
23742614.jpeg
- text: ' '
output:
url: >-
23822158.jpeg
- text: ' '
output:
url: >-
23742620.jpeg
- text: ' '
output:
url: >-
23802322.jpeg
- text: ' '
output:
url: >-
23801199.jpeg
- text: ' '
output:
url: >-
23742030.jpeg
- text: ' '
output:
url: >-
23742007.jpeg
---
# Gargoyles_comic XL
Updated version of my original 1.5 model.
Created this LoRa based off of the classic 90s cartoon series "Gargoyles"
Add this to your arsenal of tools to create fun designs- used terms like
"gargoyles" "medieval" "loincloth" "blue skin" "wings"
claws
to aid in the overall results
Tested this using a few different base models such as “anything v3” and some of my own cartoon custom models
## Trigger words You should use `gargoyles_comic`, `evang` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/brushpenbob/gargoyles-comic-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('brushpenbob/gargoyles-comic-xl', weight_name='Gargoyles_comic_XL-000012.safetensors') image = pipeline('`gargoyles_comic`, `evang`').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)