takara-ai/Sumi-e_no_kurozuappu_ink_painting_closeups

--- license: cc-by-4.0 language: - en size_categories: - 1K<n<10K --- # Sumi-e no Kurozuappu Ink Painting Closeups ## Dataset Description This dataset contains 1,250 synthetically generated images of Japanese Sumi-e ink paintings. The images were created to explore the capabilities of diffusion models in replicating the nuanced art style of traditional Japanese ink painting. The dataset is ideal for those interested in niche artistic model creation, generating LORAs, or simply enjoying and sharing these artistic expressions. ### Example Image  *An example of traditional Japanese ink painting featuring bamboo stalks and leaves, showcasing the intricate details and nuanced brushwork characteristic of Sumi-e art.* ## Dataset Structure - **image**: The image data (Sumi-e ink painting close-ups). - **seed**: Random seed used for image generation. - **positive_prompt**: Prompt used to guide the generation towards desired features. - **negative_prompt**: Prompt used to avoid undesired features in the images. - **model**: Model utilized for generating the images. - **steps**: Number of iterations used by the model during generation. - **cfg**: Configuration parameters applied during generation. - **sampler_name**: Sampler algorithm used in the process. - **scheduler**: Scheduling algorithm or method employed. - **denoise**: Denoising level applied to the final images. ## Usage This dataset is open for any type of use, including but not limited to: - Sharing the images. - Creating LORAs (Low-Rank Adaptation of Large Language Models). - Building niche artistic models based on Sumi-e art style. ## Licensing This dataset is shared under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. No warranties or guarantees are provided. ## Citation If you use this dataset, please cite it as follows: ``` @dataset{takara-ai_sumi-e_no_kurozuappu, author = {Takara.ai}, title = {Sumi-e no Kurozuappu Ink Painting Closeups}, year = {2024}, url = {https://huggingface.co/datasets/takara-ai/Sumi-e_no_kurozuappu_ink_painting_closeups} } ``` ## Disclaimer This dataset is offered with no warranties or guarantees. Use it at your own discretion. ## Related Resources If you enjoyed exploring this dataset, check out more of our art-related datasets at the [Takara.ai open-source gallery](https://takara.ai/open-source/gallery/). Discover a variety of unique collections that showcase different art styles and creative expressions.--- 许可证：CC BY 4.0 语言： - 英语 规模类别： - 1000<样本量<10000 --- # 墨绘（Sumi-e）水墨画特写数据集 ## 数据集描述 本数据集收录1250张合成生成的日本墨绘（Sumi-e）水墨画图像，旨在探究扩散模型（diffusion models）复刻传统日本水墨画细腻艺术风格的能力。本数据集适用于关注小众艺术模型开发、生成LORA（Low-Rank Adaptation of Large Language Models）创作，或是单纯欣赏与分享这类艺术作品的用户。 ### 示例图像  *示例图像为一幅展现竹枝与竹叶的日本传统水墨画，尽显墨绘（Sumi-e）标志性的精致细节与细腻笔触。 ## 数据集结构 - **image**：图像数据（墨绘（Sumi-e）水墨画特写） - **seed**：用于图像生成的随机种子 - **positive_prompt**：引导生成符合预期特征的正向提示词 - **negative_prompt**：用于规避生成图像中不期望特征的负向提示词 - **model**：用于生成图像的模型 - **steps**：模型生成过程中的迭代次数 - **cfg**：生成过程中应用的配置参数 - **sampler_name**：生成过程中使用的采样器算法 - **scheduler**：采用的调度算法或方法 - **denoise**：应用于最终图像的降噪等级 ## 使用说明 本数据集开放任意用途，包括但不限于： - 分享图像资源 - 创作LORA（Low-Rank Adaptation of Large Language Models）模型 - 基于墨绘（Sumi-e）艺术风格开发小众艺术模型 ## 许可证 本数据集采用[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)许可证发布，不提供任何担保或保证。 ## 引用方式 若您使用本数据集，请按如下格式引用： @dataset{takara-ai_sumi-e_no_kurozuappu, author = {Takara.ai}, title = {Sumi-e no Kurozuappu Ink Painting Closeups}, year = {2024}, url = {https://huggingface.co/datasets/takara-ai/Sumi-e_no_kurozuappu_ink_painting_closeups} } ## 免责声明 本数据集仅按现状提供，不附带任何担保或保证，请您自行斟酌使用。 ## 相关资源 如果您喜爱本数据集，可前往[Takara.ai开源画廊](https://takara.ai/open-source/gallery/)浏览我们更多的艺术相关数据集，探索各类展现不同艺术风格与创意表达的独特馆藏。