metadata
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
- claymation
- christmas
- style
- sdxl style lora
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: ClaymationX
widget:
- text: 'Harry potter and the holiday spirit ClaymationX '
output:
url: 3974791.jpeg
- text: 'Rick and Morty ClaymationX '
output:
url: 3974823.jpeg
- text: 'Cyberman santa ClaymationX '
output:
url: 3974831.jpeg
- text: 'Snoop Dogg ClaymationX '
output:
url: 3974835.jpeg
- text: 'Godzilla vs. Santa ClaymationX '
output:
url: 3974837.jpeg
- text: 'The girl with a pearl earring by vermeer ClaymationX '
output:
url: 3974905.jpeg
- text: 'Zombie Santa riding with a demon reindeer ClaymationX '
output:
url: 3974868.jpeg
- text: 'An evil Rudolph spider ClaymationX '
output:
url: 3974883.jpeg
- text: 'A socially awkward (potato) ClaymationX '
output:
url: 3974929.jpeg
- text: 'Marge Simpson kissing Santa ClaymationX '
output:
url: 3974948.jpeg
ClaymationX - SDXL LoRA
(CivitAI)
Model description
SDXL LoRA trained upon images from various old "Christmas claymation specials"
Use the trigger word ClaymationX in your prompts
Trigger words
You should use ClaymationX
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('Norod78/claymationx-sdxl-lora', weight_name='SDXL-ClaymationX-Lora-000002.safetensors')
image = pipeline('Marge Simpson kissing Santa ClaymationX ').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers