text-diffusion
text-to-image-diffusiondb-2M
DiffusionDB text-to-image subset
A cleaned, safety-filtered image-prompt dataset for training a text-to-image
model, built from DiffusionDB.
Built on Hugging Face Jobs directly from poloclub/diffusiondb. It covers
part_id 1-20 (20,000 source images) before filtering. The same content is
also kept on the 20k-subset branch.
Load it with:
load_dataset("whosouravsharma/text-to-image-diffusiondb-2M")
Note on the repo name: despite "2M" in the name, this is a small slice of… See the full description on the dataset page: https://huggingface.co/datasets/whosouravsharma/text-to-image-diffusiondb-2M.Diffusion-Reward-Modeling-for-Text-Rendering-Dataset
🖼️ Text-to-Image Rendering Dataset
A dataset of 14k text prompts for image generation with text rendering evaluation
📚 Dataset Overview
This dataset contains 14,000 text prompts specifically designed for:
Image generation with text rendering
Evaluating text preservation in generated images
Training diffusion models for better text rendering
Each prompt comes with:
Pre-extracted target text for rendering
5 Stable Diffusion 3 generated latents (70k total)
Dual… See the full description on the dataset page: https://huggingface.co/datasets/leffff/Diffusion-Reward-Modeling-for-Text-Rendering-Dataset.diffusion-generated-text
Diffusion-Generated Text Benchmark
17,565 cleaned responses from three diffusion language model families and 21 generation settings
This benchmark supports research on diffusion-generated language, machine-generated text detection, and robustness across model families and decoding configurations. It includes outputs from DiffusionGemma, LLaDA-8B-Instruct, and LLaDA2-mini with varied generation lengths and block sizes.
Benchmark composition
Generator… See the full description on the dataset page: https://huggingface.co/datasets/paoche11/diffusion-generated-text.diffusion.4.text_to_image.book
Dataset Card for "diffusion.4.text_to_image.book"
More Information needed
diffusion.4.text_to_image
Dataset Card for "diffusion.4.text_to_image"
More Information needed
diffusion_models_qa_text
