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
- concept
- vegetable
- fruit
- rotten
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: FaVGoneBad
widget:
- text: 'A bunch of Cherries FaVGoneBad on the tree are barking at each other '
output:
url: 6326319.jpeg
- text: 'blueberry FaVGoneBad Ice-skating on a frozen yogurt surface '
output:
url: 6326312.jpeg
- text: 'A watermelon FaVGoneBad on a rooftop '
output:
url: 6326320.jpeg
- text: 'A Strawberry FaVGoneBad '
output:
url: 6326311.jpeg
- text: 'A banana FaVGoneBad on the sandy beach floor '
output:
url: 6326316.jpeg
- text: 'A potato FaVGoneBad on shelve in the supermarket '
output:
url: 6326313.jpeg
- text: 'A pickle FaVGoneBad in the street '
output:
url: 6326310.jpeg
- text: 'A cute peach FaVGoneBad dancing on the dance floor at the disco '
output:
url: 6326317.jpeg
- text: 'Heavily chained Cherries FaVGoneBad on the tree are barking '
output:
url: 6326318.jpeg
- text: 'A banana FaVGoneBad on the sandy beach floor '
output:
url: 6326315.jpeg
Fruits and Vegetables gone bad - SDXL LoRA
(CivitAI)
Model description
What happens when Fruits and Vegetables go bad?
Prompt as "<name of fruit / vegetable> FaVGoneBad" and find out :)
Trigger words
You should use FaVGoneBad
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/fruits-and-vegetables-gone-bad-sdxl-lora', weight_name='Fruits_and_Vegetables_gone_bad_-_SDXL_LoRA-000007.safetensors')
image = pipeline('A banana FaVGoneBad on the sandy beach floor ').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers