metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - character
  - kendrick lamar
  - the protoart
  - kendrick_lamar
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: Kendrick_lamar
widget:
  - text: ' '
    output:
      url: 17391249.jpeg
  - text: ' '
    output:
      url: 17389966.jpeg
  - text: ' '
    output:
      url: 17392871.jpeg
  - text: ' '
    output:
      url: 17393437.jpeg
  - text: ' '
    output:
      url: 17390412.jpeg
  - text: ' '
    output:
      url: 17389725.jpeg
  - text: ' '
    output:
      url: 17384384.jpeg

Kendrick Lamar

Model description

using around 25 img i tried to recreate Kdot

Trigger words

You should use Kendrick_lamar, evang 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/kendrick-lamar', weight_name='Kdot.safetensors')
image = pipeline('`Kendrick_lamar`, `evang`').images[0]

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