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("Norod78/claymationxmas", dtype=torch.bfloat16, device_map="cuda")

prompt = "A Gal Gadot in the snow with Santa ClaymationXmas, very detailed, clean, high quality, sharp image"
image = pipe(prompt).images[0]

SDv1.5 ClaymationXmas Dreambooth model trained by Norod78 with TheLastBen's fast-DreamBooth notebook

Use ClaymationXmas in your prompt

Test the concept via A1111 Colab fast-Colab-A1111 Or you can run your new concept via diffusers Colab Notebook for Inference

Sample pictures of this concept:

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Dataset used to train Norod78/claymationxmas