---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- concept
- action figure
- figure
- toy
- concpet
- xl lora

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: toy
widget:
- text: ' toy, photo George w bush mission accomplished'
  output:
    url: >-
      3328637.jpeg
- text: ' toy fall autumn pepe'
  output:
    url: >-
      3328917.jpeg
- text: ' toy, photo goku on a skateboard,'
  output:
    url: >-
      3328638.jpeg
- text: ' toy bill Clinton Saxaphone'
  output:
    url: >-
      3329095.jpeg
- text: ' toy dogs playing poker'
  output:
    url: >-
      3328796.jpeg
- text: ' toy photo nicolas cage car'
  output:
    url: >-
      3328734.jpeg

---

# Doctor Diffusion's Toy XL Style LoRA 

<Gallery />





## Model description

<p>Use "<strong>toy</strong>" in prompt.<br /><br /><span style="color:rgb(17, 17, 17)">☕ </span>Like what I do? <span style="color:rgb(17, 17, 17)">☕</span><br /><span style="color:rgb(17, 17, 17)">☕ </span><a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/doctordiffusion">Buy me a coffee or two</a>! <span style="color:rgb(17, 17, 17)">☕</span></p>

## Trigger words
You should use `toy`, `photo` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/DoctorDiffusion/doctor-diffusion-s-toy-xl-style-lora/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('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('DoctorDiffusion/doctor-diffusion-s-toy-xl-style-lora', weight_name='DD-toy-v2.safetensors')
image = pipeline(' toy photo nicolas cage car').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)