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