Update README.md

README.md

@@ -1,4 +1,10 @@
 ---
+language:
+- en
+license: mit
+task_categories:
+- text-to-image
+- unconditional-image-generation
 dataset_info:
   features:
   - name: image
@@ -28,4 +34,32 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+tags:
+- art
+pretty_name: Housey House v2 - PixArt Alpha
 ---
+
+
+# Housey Home v2: PixArt Alpha Split
+
+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, [PixArt-alpha/PixArt-Sigma-XL-2-1024-MS](https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS), to be precise.
+
+Release 2 split PixArt Alpha includes ~2.1k 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 " + sizes[0][0] + ", " + word_salad[0][0]
+```