---
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
---
# 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]
```