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---
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]
<Gallery />
([CivitAI](https://civitai.com/models/))
## Model description
<p>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.</p><p>Use "Rubber duck" in your prompts.</p>
## Trigger words
You should use `Rubber duck` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Norod78/rubber-duck-sd1-5/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) |