Silver Wolf v5 (ai-toolkit trained by my Ai agent fairy) - Honkai: Star Rail
Character LoRA for Z-Image-Turbo (8-step distilled diffusion model by Tongyi MAI / Comfy-Org). Trained on the official Silver Wolf (银狼) from Honkai: Star Rail (崩坏:星穹铁道).
This is a character-identity LoRA for the cyberpunk hacker girl Silver Wolf. Trained with
ostris/ai-toolkit+ the officialzimage_turbo_training_adapter_v2.safetensorswhich preserves the 8-step distilled trajectory of the base model.
Trigger Word
silver wolf from honkai star rail, 1girl
Prompt sampple
cute anime girl, silver hair, wearing purple t-shit and white short, standing waving hello,white background
Important: Do NOT use bare silver wolf — base Z-Image will interpret it as a literal wolf.
Always include the full from honkai star rail anchor.
Recommended Inference Settings
| Parameter | Value | Notes |
|---|---|---|
| LoRA strength | 0.85 |
SSOT golden value; sweet spot (base 4.0 → LoRA 7.5) |
| Steps | 12 |
Z-Image-Turbo 8-step distilled + 4 extra for quality |
| CFG | 1.0 |
Recommended for distilled Turbo models |
| Sampler | flowmatch |
Native to Z-Image-Turbo |
| Scheduler | simple |
Default |
| Shift | 3.0 |
AuraFlow shift (do not change) |
| Resolution | 1024×1024 or 1920×1080 |
Z-Image-Turbo native; 16:9 for wallpapers |
Training Details
| Item | Value |
|---|---|
| Base model | Comfy-Org/z_image_turbo (8-step distilled, INT8 ConvRot) |
| Training framework | ostris/ai-toolkit (official Z-Image-Turbo trainer) |
| Training adapter | ostris/zimage_turbo_training_adapter_v2.safetensors (preserves 8-step distillation) |
| Architecture | arch: zimage (NOT z_image) |
| Quantization | quantize: true + quantize_te: true (dual float8) |
| Dataset | 500 images, Qwen-VL B 档 relabeled to Danbooru-style tags |
| Trigger word | silver wolf from honkai star rail, 1girl |
| Network | rank=32, alpha=32, linear LoRA |
| Optimizer | adamw, lr 1e-4 |
| EMA | use_ema: true, ema_decay: 0.99 |
| Batch size | 1, gradient_accumulation 1 |
| Steps | 3000 (≈ 6 epochs on 500 imgs) |
| Resolution | 1024×1024 |
| Precision | bf16 |
| Training time | ~2.1 hours on RTX 4090 24GB |
| VRAM | ~16.6 GB / 24 GB |
Validation Results
4-tier verification (主人 9-3 钦定常驻规则):
- md5: all pairwise different → LoRA actually applied
- Pixel diff vs base:
0.85gives 33% / 98% vs base → LoRA pushes real weight - vision_analyze 9-02 钦定 zero-tolerance check: 2 legs / 2 feet / 2 arms / 5+5 toes ✓
- Mean value monotonicity with scale: 202→207→213→230→237
Subjective scoring (vision_analyze 1-10):
- Base: 4.0/10
- LoRA @ 0.85: 7.5/10 (+3.5 lift)
- LoRA @ 1.0: 7.0/10 (push heavy → local details crash)
Training Samples
Sample generated during training (every 500 steps), scale=0.85, 9 steps, prompt:
silver wolf from honkai star rail, 1girl, standing, looking back over shoulder, barefoot, soles, toes, white background
| Step | Sample |
|---|---|
| 0 | noise initialization |
| 500 | early learning, basic composition |
| 1000 | character features emerging |
| 1500 | outfit + hair details solidifying |
| 2000 | fine details converging |
| 2500 | near-final quality |
| 3000 | final, deployed version |
Files
silverwolf_v5_aitk.safetensors(170 MB) — the LoRA weights (480 keys, diffusers format)config.yaml— training configurationoptimizer.pt— optimizer state (for resume)samples/— training-progress samples
ComfyUI Usage
# Place at:
/mnt/sdb/ubuntu/ComfyUI-master/models/loras/silverwolf_v5_aitk.safetensors
# Use via LoraLoaderModelOnly node:
# lora_name: silverwolf_v5_aitk
# strength_model: 0.85
Or via API:
python /tmp/comfyui_t2i_lora_api.py "silver wolf from honkai star rail, 1girl, \
standing, looking back over shoulder, barefoot, soles, toes, white background" \
--lora silverwolf_v5_aitk --lora_strength 0.85 --steps 12 --cfg 1.0
Known Limitations
- NSFW / foot fetish content: hand-check by the user, do NOT use vision_analyze (platform blocks)
- Risk postures (prone/suspended/reclining + LoRA scale ≥ 0.5) can produce wrong toe count — recommend
thigh high bootsto avoid - Trigger ambiguity: bare
silver wolftriggers base model's animal distribution — always includefrom honkai star rail - Base dependency: requires Z-Image-Turbo with INT8 ConvRot weights, won't work on raw bf16 base
- 6 epochs may be tight for some aesthetics — if character drifts, consider retraining with rank 64
Companion LoRA: Hoyoverse (Style Filter)
For a cyberpunk purple-black style filter that works on any ACG character (incl. crossover),
see the companion Hoyoverse LoRA — different purpose (style filter, not character).
License
This LoRA is released under fair-use-academic-noncommercial:
- ✅ Personal use, research, art creation
- ✅ Open-source / non-commercial derivative work (with attribution)
- ❌ Commercial use without permission from the rights holders of Honkai: Star Rail
- ❌ Misrepresentation of the trained character as your own original creation
Character Silver Wolf (银狼) is © COGNOSPHERE / HOYO-MIX / miHoYo. This LoRA is a fan-made derivative for research and personal artistic expression.
Citation
@misc{silverwolf-v5-aitk,
author = {wesjos},
title = {Silver Wolf v5 Z-Image-Turbo LoRA (Honkai: Star Rail)},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/wesjos/silverwolf-v5-aitk}}
}
Acknowledgements
- Base model: Comfy-Org/z_image_turbo by Tongyi MAI
- Training framework: ostris/ai-toolkit by ostris
- Training adapter: ostris/zimage_turbo_training_adapter (preserves 8-step distillation)
- Vision language model: Qwen3.8-27B by Alibaba (used for caption relabeling)
- Character: Silver Wolf (银狼) from Honkai: Star Rail by COGNOSPHERE / miHoYo
