datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
117k_human_coherence_flux1.0_V_flux1.1Blueberry
Rapidata Image Generation Alignment Dataset
This Dataset is a 1/3 of a 340k human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Preference dataset: https://huggingface.co/datasets/Rapidata/117k_human_preferences_flux1.0_V_flux1.1Blueberry
Link to the Text-2-Image Alignment dataset: https://huggingface.co/datasets/Rapidata/117k_human_alignment_flux1.0_V_flux1.1Blueberry
It was collected in ~2 Days using the… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/117k_human_coherence_flux1.0_V_flux1.1Blueberry.flux_10k_captions
Dataset Card for "flux_10k_captions"
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117k_human_alignment_flux1.0_V_flux1.1Blueberry
Rapidata Image Generation Alignment Dataset
This Dataset is a 1/3 of a 340k human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Preference dataset: https://huggingface.co/datasets/Rapidata/117k_human_preferences_flux1.0_V_flux1.1Blueberry
Link to the Coherence dataset: https://huggingface.co/datasets/Rapidata/117k_human_coherence_flux1.0_V_flux1.1Blueberry
It was collected in ~2 Days using the Rapidata… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/117k_human_alignment_flux1.0_V_flux1.1Blueberry.flux1.1-likert-scale-preference
Flux1.1 Likert Scale Text-to-Image Alignment Evaluation
This dataset contains images generated using Flux1.1 [pro] based on the prompts from our text-to-image generation benchmark.
Where the benchmark generally focuses on pairwise comparisons to rank different image generation models against each other, this Likert-scale dataset focuses on one
particular model and aims to reveal the particular nuances and highlight strong and weaks points of the model.
If you get value from this… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/flux1.1-likert-scale-preference.117k_human_preferences_flux1.0_V_flux1.1Blueberry
Rapidata Image Generation Alignment Dataset
This Dataset is a 1/3 of a 340k human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Text-2-Image Alignment dataset: https://huggingface.co/datasets/Rapidata/117k_human_alignment_flux1.0_V_flux1.1Blueberry
Link to the Coherence dataset: https://huggingface.co/datasets/Rapidata/117k_human_coherence_flux1.0_V_flux1.1Blueberry
It was collected in ~2 Days using the… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/117k_human_preferences_flux1.0_V_flux1.1Blueberry.image-generation-flux1-schnell
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Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/davidberenstein1957/image-generation-flux1-schnell.FLUX.1-schnell-random
Flux 1 Schnell Random Images
A dataset of 3000 synthetic images (1024 x 1024) generated to explore the latent space of black-forest-labs/FLUX.1-schnell in a completely randomized, unbiased way.
Generation Parameters
Model Checkpoint: flux1-schnell-fp8.safetensors
Sampler: euler_ancestral | Steps: 4 | CFG: 1.0 | Flux Guidance: 3.5
Seed: Random
Prompt Configuration
Prompt: Dynamically assembled string using up to the maximum limit of 512 random… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/FLUX.1-schnell-random.flux1_dev-small
Image Captioning Dataset
This dataset is designed to train visual language models (VLMs) for image captioning tasks. It contains a varied collection of images generated with flux1_dev associated with highly accurate and verified descriptive captions.
FLUX.1-dev-random
Flux 1 Dev Random Images
A dataset of over 1200 synthetic images (1024 x 1024) generated to explore the latent space of black-forest-labs/FLUX.1-dev in a completely randomized, unbiased way.
Generation Parameters
Model Checkpoint: flux1-dev-Q5_K_S.gguf
Sampler: euler_ancestral | Steps: 28 | CFG: 1.0 | Flux Guidance: 3.5
Seed: Random
Prompt Configuration
Prompt: Dynamically assembled string using up to the maximum limit of 512 random tokens.… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/FLUX.1-dev-random.flux-1-dev-generated-10kflux-1s-generated-human-associations-10kGenerated With: Flux 1S
Size: 1024x1024
Steps: 4
Guidance: 0
Generated using random captions from a tokenization conjunction generation system - meant to introduce subject based linkers from one diffusion concept to another.
This needs additional AI passes to filter out things like floating hands, bad anatomy and so on.
This dataset is full of diffusion poison, but it's all generated from Flux 1S so it can be used for classification, object identification, association identification, and so on… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/flux-1s-generated-human-associations-10k.flux1_dev-trainflux-1.1-v2Flux1-Regularization-Florence-2-Tagged-Dataset_1812flux_1024_10kPixelNinjaArt_Dataset_Flux1flux1_lora_mp3pintyo_face-datasetGenshin_Impact_flux1_kontext_fp8_animetic_lightflux_1k_captionsgirl108_flux1dev_lora_v1-datasetffhq-flux1-latents-256ds1234_anime_flux16FLUX.1-dev-Batch