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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01FredZhang7 /stable-diffusion-prompts-2.47M Source Combined text-only dataset from poloclub/diffusiondb Gustavosta/Stable-Diffusion-Prompts bartman081523/stable-diffusion-discord-prompts FredZhang7/krea-ai-prompts For preprocessing methods, please see Fast GPT2 PromptGen. Python Download and save the dataset to all_prompts.txt locally. pip install datasets import datasets dataset = datasets.load_dataset("FredZhang7/stable-diffusion-prompts-2.47M") train = dataset["train"] prompts = train["text"] with… See the full description on the dataset page: https://huggingface.co/datasets/FredZhang7/stable-diffusion-prompts-2.47M.texttext-generation1M<n<10M42 likes222 downloads4y agoHugging Face02xzuyn /Stable-Diffusion-Prompts-Deduped-2.008M Original Dataset by FredZhang7 Deduped from 2,473,022 down to 2,007,998. Changed anything that had [ prompt text ], ( prompt text ), or < prompt text >, to [prompt text], (prompt text), and <prompt text>. 2 or more spaces converted to a single space. Removed all " Removed spaces at beginnings. texttext-generation1M<n<10M10 likes117 downloads3y agoHugging Face03WoWoWoWololo /stable_diffusion_female_prompts stable_diffusion_female_prompts ⚠ PRECAUTION : This dataset contains NSFW and SFW prompts. ⚠ Stable Diffusion female prompts and some informations about the generated images Dataset Details Dataset Description Enhancing the dataset progress is going on and going to be updated frequently. These Huggingface datasets are used for enhancing the dataset: FredZhang7/anime-prompts-180K FredZhang7/stable-diffusion-prompts-2.47M… See the full description on the dataset page: https://huggingface.co/datasets/WoWoWoWololo/stable_diffusion_female_prompts.tabulartext-generation1M<n<10M6 likes48 downloads9mo agoHugging Face04hanruijiang /civitai-stable-diffusion-2.5minspired by thefcraft/civitai-stable-diffusion-337k. collected using civitai api to get all prompts. imagetext-generation1M<n<10M5 likes47 downloads3y agoHugging Face05gokaygokay /prompt_description_stable_diffusion_3k The Synthetic Description from Prompts Dataset This dataset is created using the Phi 2 3B Q4_K_S quantized model, using 3k random samples from training set of a base dataset of about 80,000 prompts from the Stable Diffusion dataset on Lexica.art. This dataset is designed to explore the capabilities of language models in generating creative and expanded descriptions from concise prompts. Source Data… See the full description on the dataset page: https://huggingface.co/datasets/gokaygokay/prompt_description_stable_diffusion_3k.texttext-generation1K<n<10K5 likes43 downloads2mo agoHugging Face06Pratofeitoo /Stable-Diffusion-Prompts-Deduped-2.008M Original Dataset by FredZhang7 Deduped from 2,473,022 down to 2,007,998. Changed anything that had [ prompt text ], ( prompt text ), or < prompt text >, to [prompt text], (prompt text), and <prompt text>. 2 or more spaces converted to a single space. Removed all " Removed spaces at beginnings. texttext-generation1M<n<10M0 likes7 downloads5mo agoHugging Face07Pratofeitoo /stable-diffusion-prompts-2.47M Source Combined text-only dataset from poloclub/diffusiondb Gustavosta/Stable-Diffusion-Prompts bartman081523/stable-diffusion-discord-prompts FredZhang7/krea-ai-prompts For preprocessing methods, please see Fast GPT2 PromptGen. Python Download and save the dataset to all_prompts.txt locally. pip install datasets import datasets dataset = datasets.load_dataset("FredZhang7/stable-diffusion-prompts-2.47M") train = dataset["train"] prompts = train["text"] with… See the full description on the dataset page: https://huggingface.co/datasets/Pratofeitoo/stable-diffusion-prompts-2.47M.texttext-generation1M<n<10M0 likes5 downloads5mo agoHugging Face

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