metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - concept
  - duck
  - rubber duck
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: Rubber duck
widget:
  - text: Wonderwoman Rubber duck
    output:
      url: 18380848.jpeg
  - text: The girl with a pearl earring Rubber duck
    output:
      url: 18380853.jpeg
  - text: Albert Einstein Rubber duck
    output:
      url: 18380851.jpeg
datasets:
  - Norod78/Rubber-Duck-blip-captions

Rubber Duck [SD1.5]

Prompt
The girl with a pearl earring Rubber duck

(CivitAI)

Model description

While SDXL is really good at out-of-the box generation of rubber ducks, SDv1.5 needs a little LoRA help. So here it is.

Use "Rubber duck" in your prompts.

Trigger words

You should use Rubber duck 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('Norod78/rubber-duck-sd1-5', weight_name='Rubber_Duck_SD1.5-000009.safetensors')
image = pipeline('`Rubber duck`').images[0]

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