**AVAILABLE FOR DOWNLOAD** 👉 [https://civitai.com/models/2194531/ciri-the-witcher-3-z-image-turbo-lora](https://civitai.com/models/2194531/ciri-the-witcher-3-z-image-turbo-lora)

Trained a Ciri (The Witcher 3) character LoRA with Ostris AI‑Toolkit and Z‑Image Turbo, sharing some samples + settings.​​

**Training setup**

* **Base model:** Tongyi‑MAI/Z‑Image‑Turbo (flowmatch, 8‑step turbo)​
* **Hardware:** RTX 4060 Ti 16 GB, 32 GB RAM, CUDA, low‑VRAM + qfloat8 quantization​
* **Trainer:** Ostris AI‑Toolkit, LoRA (linear 32 / conv 16), bf16, diffusers format​​

**Dataset**

* 30 Ciri images of varying poses, expressions and lighting conditions (TW3), 30 matching captions
* Mixed resolutions: 512 / 768 / 1024
* Caption dropout: 5%​
* Trigger word: `Ciri_TW3` (job trigger field + in captions)​​

**Training hyperparams**

* Steps: **2500**
* Time to finish: 3:45:09
* UNet only (text encoder frozen)
* Optimizer: adamw8bit, lr **1e‑4**, weight decay **1e‑4**
* Flowmatch scheduler, weighted timesteps, content/style = balanced
* Gradient checkpointing, cache text embeddings on
* Save every **250** steps, keep last 4 checkpoints​

**Sampling for the examples**

* Resolution: 1024×1024
* Sampler: flowmatch, 8 steps, guidance scale 1, seed 42

Ciri [The Witcher 3] Z-Image Turbo LoRA