metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - gold
  - style
  - black and gold
  - protoart
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: blk_&_gold
widget:
  - text: ' '
    output:
      url: 21634513.jpeg
  - text: ' '
    output:
      url: 21633934.jpeg
  - text: ' '
    output:
      url: 21633160.jpeg
  - text: ' '
    output:
      url: 21635179.jpeg
  - text: ' '
    output:
      url: 21626595.jpeg
  - text: ' '
    output:
      url: 21626597.jpeg
  - text: ' '
    output:
      url: 21626596.jpeg

black and gold

Model description

This vivid Art LoRa is meant to emphasize the contrasting black and gold color combo. You can be a little heavy handed so I would dialed back to weight to a round 0.7

Trigger words

You should use blk_&_gold, evang, black and gold to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/black-and-gold', weight_name='black and gold_epoch_7.safetensors')
image = pipeline('`blk_&_gold`, `evang`, `black and gold`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers