|
--- |
|
dataset_info: |
|
features: |
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- 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: 20834626.0 |
|
num_examples: 219 |
|
download_size: 20825015 |
|
dataset_size: 20834626.0 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
--- |
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# Karlo |
|
|
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All images included in this dataset were voted as "Not solved" by the community in https://huggingface.co/spaces/OpenGenAI/open-parti-prompts. |
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This means that according to the community the model did not generate an image that corresponds sufficiently enough to the prompt. |
|
|
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The following script was used to generate the images: |
|
|
|
```py |
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from diffusers import DiffusionPipeline |
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import torch |
|
|
|
pipe = DiffusionPipeline.from_pretrained("kakaobrain/karlo-v1-alpha", torch_dtype=torch.float16) |
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pipe.to("cuda") |
|
|
|
prompt = "" # a parti prompt |
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generator = torch.Generator("cuda").manual_seed(0) |
|
|
|
image = pipe(prompt, prior_num_inference_steps=50, decoder_num_inference_steps=100, generator=generator).images[0] |
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``` |
