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
    - name: upvotes
      dtype: int64
  splits:
    - name: train
      num_bytes: 20834626
      num_examples: 219
  download_size: 20825015
  dataset_size: 20834626
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Karlo

All images included in this dataset were voted as "Not solved" by the community in https://huggingface.co/spaces/OpenGenAI/open-parti-prompts. This means that according to the community the model did not generate an image that corresponds sufficiently enough to the prompt.

The following script was used to generate the images:

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]