---
language:
- en
license: mit
task_categories:
- text-to-image
- unconditional-image-generation
pretty_name: Housey Home v2
dataset_info:
  features:
  - name: image
    dtype: image
  - name: prompt
    dtype: string
  - name: hash
    dtype: string
  - name: generated_by
    dtype: string
  - name: quantity
    dtype: string
  - name: plain_background
    dtype: string
  - name: has_neighbors
    dtype: string
  - name: style
    sequence: string
  - name: size
    sequence:
      sequence: string
  splits:
  - name: train
    num_bytes: 873060466.6
    num_examples: 3032
  download_size: 872503009
  dataset_size: 873060466.6
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- art
---

# Housey Home v2 - Like v1 never happened

I was in the process of producing a fully synthetic dataset for ungrounded image generation using an unconventional combination of layers. As such, I needed a dataset of highly similar objects with 'themes'. In order to produce `log(x, y)` combinations of options in the final model. This is that dataset.

The initial ( 07/15/2024 ) release includes ~2k unique houses, each processed using a VQA, [ybelkada/blip-vqa-base](https://huggingface.co/Salesforce/blip-vqa-base), to be precise.

Release 2 includes ~3k unique houses, each processed more efficiently and using a more powerful GPU via parallel model loading followed by sequential but accelerated inference and diffusion with each.

```
# This code procedurally generates a simple description based upon the input lists of string selections. Feel free to expand or use as MIT.
word_salad = [
        ["cartoon", "happy", "goofy", "virant", "whymsical"],
        ["realistic", "ultra hd", "best quality", "high quality", "masterpiece"],
        ["horrifying", "nightmare", "wicked", "evil", "dark", "creepy", "scary"]
    ]
    sizes = [
        ["large mansion", "mansion", "manor", "estate", "enournmous house", "palace"],
        ["medium house", "home", "residence", "big house", "large house"],
        ["tiny shack", "cottage", "small house", "miniature house", "dinimutive house", "shack"]
    ]
    post_prompt = ", ".join(chosen_salad := random.choice(word_salad)) + ", " + ", ".join(chosen_sizes := random.choice(sizes))
    description = "A " + chosen_sizes[0].split(" ")[0] + ", " + chosen_salad[0] + " " + chosen_sizes[0].split(" ")[1]
```