, weight_name="<new1>.bin")

image = pipe(
    "<new1> cat sitting in a bucket",
    num_inference_steps=100,
    guidance_scale=6.0,
    eta=1.0,
).images[0]
image.save("cat.png")
Here is an example of performing inference with multiple concepts:


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

model_id = "sayakpaul/custom-diffusion-cat-wooden-pot"
card = RepoCard.load(model_id)
base