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---
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: WarriorMama777/AbyssOrangeMix2
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('WarriorMama777/AbyssOrangeMix2', 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)
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