metadata
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
- pirate
- style
- fur
- furry
- cute
- pirate ship
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: fur pirates
widget:
- text: 'fur pirates, alligator, '
output:
url: 3408310.jpeg
- text: >-
fur pirates, cute fur pirate, instagram model, instagram shot, outdoor,
glamour
output:
url: 3408383.jpeg
- text: >-
fur pirates, (cyberpunk, dystopian future:1.4), rotten ship, rotten floor,
old fur pirate, grey beard
output:
url: 3408301.jpeg
- text: 'fur pirates, breakdancing, breakdance battle, graffiti background '
output:
url: 3408297.jpeg
- text: 'fur pirates, family, sitting in the park, having a picnic '
output:
url: 3408298.jpeg
- text: 'fur pirates, duck, hook '
output:
url: 3408302.jpeg
- text: 'fur pirates, turtle, hook '
output:
url: 3408303.jpeg
- text: 'fur pirates, octupus, '
output:
url: 3408305.jpeg
- text: 'fur pirates, parrot, '
output:
url: 3408306.jpeg
- text: 'fur pirates, giraffe '
output:
url: 3408307.jpeg
Fur Pirates [SDXL LoRA]
(CivitAI)
Model description
SDXL:
Trigger word: fur pirates
Sampling Method: DPM++ 2M SDE Karras
☕ Buy me a coffee: https://ko-fi.com/ralfingerai
Trigger words
You should use fur pirates
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('RalFinger/fur-pirates-sdxl-lora', weight_name='furpirate-sdxl.safetensors')
image = pipeline('fur pirates, giraffe ').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers