Diffusion Model
stable_diffusion_modelsA_Reasoning_Critique_of_Diffusion_Models
A Reasoning Critique of Diffusion Models
Author: Zixi "Oz" Li (李籽溪)
Date: December 12, 2025
Type: Theoretical AI Research (Geometry, Reasoning Theory)
Citation
@misc{oz_lee_2025,
author = { Oz Lee },
title = { A_Reasoning_Critique_of_Diffusion_Models (Revision 267326d) },
year = 2025,
url = { https://huggingface.co/datasets/OzTianlu/A_Reasoning_Critique_of_Diffusion_Models },
doi = { 10.57967/hf/7243 }… See the full description on the dataset page: https://huggingface.co/datasets/OzTianlu/A_Reasoning_Critique_of_Diffusion_Models.matryoshka-diffusion-models-paper-examples
Matryoshka Diffusion Models - paper examples
This dataset contains the 1024x1024 images included in the Matryoshka Diffusion Models
paper.
Arxiv: https://arxiv.org/abs/2310.15111
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_models_course_stickerseval_lx7r_diffusion_pickup_modelThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "multi_robot",
"total_episodes": 1,
"total_frames": 639,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/arclabmit/eval_lx7r_diffusion_pickup_model.