FFusion Core 2023

⚠️ Experimental — not a polished release.

Retrained a personal 2023 SDXL dataset (969 images + original captions) on Zimage Turbo using only Civitai Trainer — no local training, no manual caption editing.

🧪 Why This Exists

A stress test to see how Zimage Turbo handles heavy repetition — 20 epochs at just 2 repeats on a large abstract dataset. Deliberately overbaked. Results will vary wildly, and that's the point.

🎨 What It Does

• Abstract backgrounds & gradient compositions

• 3D cube/container renders

• Cloud & smoke formations

• Colorful surreal portraits

• Neon-lit geometric shapes

Best used as a style layer, background generator, or starting point for abstract designs.

⚙️ Training Config

Base Model Zimage Turbo
Engine ai-toolkit (Civitai Trainer)
LoRA rank 32 / alpha 32
Epochs 20
Repeats 2
Resolution 1024
Optimizer AdamW 8-bit
LR / Scheduler 1e-4 / constant
Text Encoder not trained

💡 How To Use

Trigger word: ffusion

WeightExpect 0.3–0.5
Subtle color/style bleed 0.5–0.8
Recommended range 0.6

Dataset and the original 2023 SDXL LoRA available on request.