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("stablediffusionapi/disney-pixar-cartoon", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Pixel390/TORTOISE")

prompt = "a uxz tortoise"
image = pipe(prompt).images[0]

LoRA DreamBooth - Pixel390/TORTOISE

These are LoRA adaption weights for stablediffusionapi/disney-pixar-cartoon. The weights were trained on a uxz tortoise using DreamBooth. You can find some example images in the following.

LoRA for the text encoder was enabled: True.

Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Pixel390/TORTOISE

Adapter
(2)
this model

Space using Pixel390/TORTOISE 1