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("garg-aayush/grey_sloth_plushie")

prompt = "a picture of [V] boot on top of green grass with sunflowers around it"
image = pipe(prompt).images[0]

SDXL LoRA DreamBooth - garg-aayush/grey_sloth_plushie

Prompt
a picture of [V] boot on top of green grass with sunflowers around it
Prompt
a picture of [V] boot on top of green grass with sunflowers around it
Prompt
a picture of [V] boot on top of green grass with sunflowers around it
Prompt
a picture of [V] boot on top of green grass with sunflowers around it

Model description

These are garg-aayush/grey_sloth_plushie LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

The weights were trained using DreamBooth.

LoRA for the text encoder was enabled: False.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

Trigger words

You should use a picture of [V] stuffed animal to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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