README.md

metadata

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
      num_examples: 1632
  download_size: 161038543
  dataset_size: 161180147

Images of Parti Prompts for "karlo-v1"

Code that was used to get the results:

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]