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---
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
- wings
- style
- gargoyles
- the protoart
- gargoyles comic
- protoart
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: loincloth
widget:
- text: ' '
output:
url: >-
26187411.jpeg
- text: ' '
output:
url: >-
26185137.jpeg
- text: ' '
output:
url: >-
26182590.jpeg
- text: ' '
output:
url: >-
26182502.jpeg
- text: ' '
output:
url: >-
26182501.jpeg
---
# Flux Gargoyles
<Gallery />
## Model description
<p>Updated version of my <a target="_blank" rel="ugc" href="https://civitai.com/models/634223/gargoylescomic-xl">XL</a> and <a target="_blank" rel="ugc" href="https://civitai.com/models/302571/gargoylescomic?modelVersionId=339768">original 1.5 model</a>.</p><p>Created this LoRa based off of the classic 90s cartoon series "Gargoyles"</p><p>Add this to your arsenal of tools to create fun designs- used terms like</p><p>"gargoyles" "medieval" "loincloth" "blue skin" "wings"</p><p>claws</p><p>to aid in the overall results</p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div><p>Tested this using a few different base models such as “anything v3” and some of my own cartoon custom models</p>
## Trigger words
You should use `loincloth`, `Gargoyles_comic` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/brushpenbob/flux-gargoyles/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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/flux-gargoyles', weight_name='Flux_Gargoyles.safetensors')
image = pipeline('`loincloth`, `Gargoyles_comic`').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)
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