# Images of Parti Prompts for "karlo-v1"

Code that was used to get the results:

```py
from diffusers import DiffusionPipeline
import torch

pipe = DiffusionPipeline.from_pretrained("kakaobrain/karlo-v1-alpha", torch_dtype=torch.float16)
pipe.to("cuda")

prompt = "" # a parti prompt
generator = torch.Generator("cuda").manual_seed(0)

image = pipe(prompt, prior_num_inference_steps=50, decoder_num_inference_steps=100, generator=generator).images[0]
```
region:us
{"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Category", "dtype": "string"}, {"name": "Challenge", "dtype": "string"}, {"name": "Note", "dtype": "string"}, {"name": "images", "dtype": "image"}, {"name": "model_name", "dtype": "string"}, {"name": "seed", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 161180147.0, "num_examples": 1632}], "download_size": 161038543, "dataset_size": 161180147.0}}
TAGS
#region-us 

# Images of Parti Prompts for "karlo-v1"

Code that was used to get the results:


# Images of Parti Prompts for "karlo-v1"

Code that was used to get the results:
TAGS
#region-us 
 # Images of Parti Prompts for "karlo-v1"

Code that was used to get the results:
passage: TAGS
#region-us 
# Images of Parti Prompts for "karlo-v1"

Code that was used to get the results: