---
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 

<Gallery />



([CivitAI](https://civitai.com/models/294004))

## Model description

<p>What happens when Fruits and Vegetables go bad?</p><p>Prompt as "&lt;name of fruit / vegetable&gt; <strong>FaVGoneBad</strong>" and find out :)</p>

## Trigger words
You should use `FaVGoneBad` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/Norod78/fruits-and-vegetables-gone-bad-sdxl-lora/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('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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)