datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
image_generation_prompts_SDXL
Dataset Card for "image_generation_prompts_SDXL"
More Information needed
image-generation-promptsSubject_Driven_Image_Generation
Dataset Card
Dataset in ImagenHub.
Citation
Please kindly cite our paper if you use our code, data, models or results:
@article{ku2023imagenhub,
title={ImagenHub: Standardizing the evaluation of conditional image generation models},
author={Max Ku and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen},
journal={arXiv preprint arXiv:2310.01596},
year={2023}
}
image-generation-flux1-schnell
Dataset Card for Dataset Name
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/davidberenstein1957/image-generation-flux1-schnell.finesse_image_generation1
Dataset Card for "finesse_image_generation1"
More Information needed
finesse_image_generation
Dataset Card for "finesse_image_generation"
More Information needed
unconditional-image-generation-checkpoint-downloadsimage-generation-promptsMulti_Subject_Driven_Image_Generation
Dataset Card
Dataset in ImagenHub.
Citation
Please kindly cite our paper if you use our code, data, models or results:
@article{ku2023imagenhub,
title={ImagenHub: Standardizing the evaluation of conditional image generation models},
author={Max Ku and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen},
journal={arXiv preprint arXiv:2310.01596},
year={2023}
}
dataset-viber-image-generation-preference-inference-endpoints-battle-flux
Dataset Card for Dataset Name
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/davidberenstein1957/dataset-viber-image-generation-preference-inference-endpoints-battle-flux.CoM_Audio_Image_LLM_Generation
This dataset is a Mixture of DIBT/10k_prompts_ranked, lj_speech and Falah/image_generation_prompts_SDXL
Repartition
Why this dataset ?
Training a multimodal router holds crucial significance in the realm of artificial intelligence. By harmonizing different specialized models within a constellation, the router plays a central role in intelligently orchestrating tasks. This approach not only enables precise classification but also paves the way for diverse… See the full description on the dataset page: https://huggingface.co/datasets/Nielzac/CoM_Audio_Image_LLM_Generation.Train-image-generation-standardGenAI-Bench_image_generation_processedimage-generation-dataset-testproactive_image_generation
Dataset Card for "proactive_image_generation"
More Information needed
image-generation-celeba_HQimage_generationimage-generation-promptingru-image-generation
🧠 Image Generation Benchmark Dataset
This dataset simulates a large-scale benchmark for analyzing the performance of a text-to-image generation system. It contains 100,000 entries with user prompt data, generated image metadata, and multi-criteria quality ratings.
📁 Dataset Structure
Each row in the dataset corresponds to a single image generation request and includes the following fields:
Column Name
Description
request_id
Unique identifier for the request… See the full description on the dataset page: https://huggingface.co/datasets/ZennyKenny/ru-image-generation.ZiyuG_Image_Generation_CoT_dpo_jsonl_image_generationControl_Guided_Image_Generation
Dataset Card
Dataset in ImagenHub.
Citation
Please kindly cite our paper if you use our code, data, models or results:
@article{ku2023imagenhub,
title={ImagenHub: Standardizing the evaluation of conditional image generation models},
author={Max Ku and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen},
journal={arXiv preprint arXiv:2310.01596},
year={2023}
}
image-generation-dataset-traingpt-image-2-creative-generationai-image-generation-parametersunconditional-image-generation-checkpoint-downloadsimage_generation_prompts