---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- style
- merchant

base_model: stablediffusionapi/abyssorangemix2-hard
instance_prompt: Merchant
widget:
- text: '(elon musk)'
  output:
    url: >-
      1.png
- text: '(elon musk), '
  output:
    url: >-
      2.png
- text: '(joe biden), '
  output:
    url: >-
      3.png
- text: '(donald trump), '
  output:
    url: >-
      4.png

---

# merchant_v2 - Happy Merchant Generation 

<Gallery />




## Model description


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

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stablediffusionapi/abyssorangemix2-hard', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('throwromans/merchant_v2', weight_name='merchants-v2.safetensors')
image = pipeline('subversive jewish demon, ').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)