, use_safetensors=True
).to("cuda")

pipeline.load_textual_inversion(repo_id_embeds) Create a prompt with the pre-learned concept by using the special placeholder token <cat-toy>, and choose the number of samples and rows of images you’d like to generate:   Copied prompt = "a grafitti in a favela wall with a <cat-toy> on it"

num_samples_per_row = 2
num_rows = 2 Then run the pipeline (feel free to adjust the parameters like num_inference_steps 