t-kerascv_sd_diffusers_pipeline")
pipeline.to("cuda")

placeholder_token = "<my-funny-cat-token>"
prompt = f"two {placeholder_token} getting married, photorealistic, high quality"
image = pipeline(prompt, num_inference_steps=50).images[0]
And we get: 

Note that if you specified a placeholder_token while performing the conversion, the tool will log it accordingly. Refer
to the model card of this repository
as an example.
We welcome you to use t