metadata
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
Model description
Trigger words
You should use merchant
to trigger the image generation.
Use it with the 🧨 diffusers library
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