plaguss/test-finepersonas-v0.1-tiny-flux-schnell
Dataset Card for test-finepersonas-v0.1-tiny-flux-schnell This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/test-finepersonas-v0.1-tiny-flux-schnell/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline… See the full description on the dataset page: https://huggingface.co/datasets/plaguss/test-finepersonas-v0.1-tiny-flux-schnell.
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Dataset Card for test-finepersonas-v0.1-tiny-flux-schnell
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/test-finepersonas-v0.1-tiny-flux-schnell/raw/main/pipeline.yaml"or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/plaguss/test-finepersonas-v0.1-tiny-flux-schnell/raw/main/pipeline.yaml"Dataset structure
The examples have the following structure per configuration:
<details><summary> Configuration: default </summary><hr>
{
"image": "",
"model_name": "black-forest-labs/FLUX.1-schnell",
"persona": "A local art historian and museum professional interested in 19th-century American art and the local cultural heritage of Cincinnati."
}This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("plaguss/test-finepersonas-v0.1-tiny-flux-schnell", "default")Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("plaguss/test-finepersonas-v0.1-tiny-flux-schnell")</details>
