How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("DoctorDiffusion/doctor-diffusion-s-toy-xl-style-lora")

prompt = " toy, photo George w bush mission accomplished"
image = pipe(prompt).images[0]

Doctor Diffusion's Toy XL Style LoRA

Prompt
toy, photo George w bush mission accomplished
Prompt
toy fall autumn pepe
Prompt
toy, photo goku on a skateboard,
Prompt
toy bill Clinton Saxaphone
Prompt
toy dogs playing poker
Prompt
toy photo nicolas cage car

Model description

Use "toy" in prompt.

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Trigger words

You should use toy, photo 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('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

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