new1>.bin")

image = pipeline(
    "<new1> cat sitting in a bucket",
    num_inference_steps=100,
    guidance_scale=6.0,
    eta=1.0,
).images[0]
image.save("cat.png")
</hfoption>
<hfoption id="multiple concepts">

	  Copied import torch
from huggingface_hub.repocard import RepoCard
from diffusers import DiffusionPipeline

pipeline = DiffusionPipeline.from_pretrained("sayakpaul/custom-diffusion-cat-wooden-pot", torch_dtype=torch.float16).to("c