---
pretty_name: Stock Photos (Asian People, Stable Diffusion 1.5)
tags:
- image-generation
- computer-vision
- stable-diffusion
- stock-photos
- diffusion-models
- synthetic-data
- asian
license: cc0-1.0
language:
- en
task_categories:
- text-to-image
- feature-extraction
---

# Stock Photos (Asian People, Stable Diffusion 1.5)

<figure>
  <img src="Examples.jpg" alt="Collage of randomly selected images from the dataset" width="600"/>
  <figcaption>Collage of randomly selected images from the dataset</figcaption>
</figure>

Collection of synthetic stock photographs created with Stable Diffusion 1.5, emphasizing Asian people 
(including East Asians, Southeast Asians, South Asians, and Central Asians).
Images were generated using a diverse set of prompts and filtered for quality, realism, and safety.

## Supported Tasks

- Image generation
- Image captioning
- Visual representation learning
- Fairness and diversity analysis in generative models

## Dataset Structure

Each entry in the dataset includes:
- The generated image (512 &times; 512 RGB)
- The automatically generated caption

The metadata of each image file contains its generation parameters.
Note that the input prompts may not resemble the generated images and their captions.

## Dataset Creation

**Generation Process**
- Software: AUTOMATIC1111/stable-diffusion-webui v1.10.1 (Python 3.10.12, Torch 2.1.2+cu121, xformers 0.0.23.post1)
- Models used:
  - leosamsHelloworldXL_filmGrain20
  - redcraftCADSUpdatedApr28_relustion15FP32
  - evalisenniaSD15Ultra_v10
  - asianRealismByStable_v4
- Prompts: Each image was generated using a random sample of 10 phrases from the first 100&thinsp;000 rows of agentlans/noun-phrases.
- Negative prompt: CyberRealistic_Negative-neg
- Sampling: DPM++ 2M, 20 steps, CFG Scale 7
- Additional processing: ADetailer with person, face, and hand detection models

**Filtering**
- Graphics and NSFW images removed using:
  - timm/tiny_vit_21m_224.dist_in22k_ft_in1k (for graphics: drawing, cartoon, infographic, webpage, illustration, comic)
  - Marqo/nsfw-image-detection-384 (for NSFW)
- Outlier removal with isolation forest (contamination=0.1) using:
  - resnet18 embeddings
  - CLIP-based detection (openai/clip-vit-large-patch14) of problematic body parts (repeated 3 times)

**Captioning**
- Captions generated with Qwen/Qwen2.5-VL-3B-Instruct
  - System prompt: "You are an expert image captioner."
  - User prompt: "Write a concise, clear caption describing the picture."

## Languages

Captions are in English. Prompts are in English and consist of diverse noun phrases.

## Limitations

- Some images exhibit artifacts, unrealistic features, or visual distortions.
- The dataset includes individuals of various ethnic backgrounds, not exclusively Asians.
- Contains identifiable individuals, including celebrities and politicians.
- Due to prompt limitations, the dataset does not fully capture the diversity of Asian cultures, art forms, or traditional contexts.
- Captions are automatically generated and may not be appropriate for all use cases.

## Licence

Creative Commons Zero 1.0