( Not my Model )
https://civitai.com/models/2526557/ffusion-core-2023
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
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Abstract backgrounds & gradient compositions
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3D cube/container renders
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Cloud & smoke formations
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Colorful surreal portraits
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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.