Fine-tuning Images for Stable Diffusion Text-to-Image Models

Image dataset used to fine-tune HoJ, a Stable Diffusion model. The dataset contains between 1,000 and 10,000 samples, is gated to prevent mass downloads, and was authored by n-Arno.

Use Cases

• Fine-tune a Stable Diffusion model using the provided image samples for improved text-to-image generation.
• Analyze the relationship between image samples and associated text prompts for model training.
• Use the gated image collection to benchmark fine-tuning techniques for diffusion models.

Strengths

• Dataset size is categorized as between 1,000 and 10,000 samples.
• Specifically intended for fine-tuning Stable Diffusion text-to-image models.
• Updated recently on March 16, 2025.

Limitations

• Exact number of rows, columns, and file formats are unknown.
• Dataset is gated, which may restrict access and complicate automated workflows.
• Limited descriptive metadata is available about image content or collection methodology.

Provenance

Source

Hugging Face, author n-Arno.

Collection Method

null

Time Range

null

Freshness

2025-03-16

Geography

Region is tagged as 'us'.