Updated: Jan 7, 2026 Type: LoRA Base Model: ZImageTurbo Training: Steps: 5,000 | Epochs: 42 Trigger Word:aimaginedworlds
The Best Result: V1 Adapter Training
Style: Anime / Illustration Base Model: Tongyi-MAI/Z-Image-Turbo
📖 My Story: The Road to the "Perfect" LoRA
I want to share my experience training this LoRA—not just the final product, but the entire journey, because I believe transparency helps the community learn.
🚫 Attempt 1: The 1000-Image Dataset + V2 Adapter
I started big. I thought more data = better results, so I gathered +1000 images do pro +1000 texts description and used the newest adapter:
Adapter:ostris/zimage_turbo_training_adapter V2
Result: Complete failure. The LoRA didn't capture the anime style at all. The outputs looked generic and lacked any personality from the training data.
I realized quality beats quantity. I carefully curated a smaller dataset of ~118 high-quality anime images with detailed captions.
Result: Better, but still not amazing. The V2 adapter seemed to struggle with strong style transfer. The outputs were "okay," but not the striking anime aesthetic I was aiming for.
🔄 Attempt 3: Trying Z-Image-De-Turbo
I switched gears entirely. I thought maybe training on the non-turbo base model would give me more control:
Model:ostris/Z-Image-De-Turbo
Result: Nothing amazing. While technically capable, it didn't produce the vibrant, stylized anime look I wanted. It felt "flat."
✅ Attempt 4: The V1 Adapter — THE WINNER!
Out of frustration, I went back to the original V1 adapter. And guess what?
Result:AMAZING! This was the breakthrough. The V1 adapter, combined with the right settings, finally captured the anime style beautifully. Fast inference, strong style, and consistent quality.
Sometimes, the "old" version just works better.
💸 The Real Cost: What This Training Cost Me
Training LoRAs isn't free. Here's the honest breakdown of what I spent on Modal cloud compute to reach this result:
GPU Used: NVIDIA H200
Total Training Runs: 10+
Total Cost: ~$60
Time Invested: Multiple days of experimentation...
That's $60 and countless hours of debugging, testing different adapters, adjusting hyperparameters, and waiting for training jobs to complete, all to find the perfect combination.
Training Cost
⚙️ The Winning Configuration
Here is the exact configuration that produced the best results. Feel free to use it as a starting point for your own training!
Rank 32/Alpha 32: The sweet spot for style without overfitting.
V1 Adapter: The secret sauce!
5000 Steps: Enough for full convergence.
FlowMatch Scheduler: Native to Z-Image Turbo.
🚀 How to Use This LoRA
This LoRA was trained specifically for anime/illustration style. It works best when you keep prompts simple and let the trigger word do the heavy lifting.
🎨 Showcase
Here are some examples of what you can create:
Showcase 1
Showcase 2
Showcase 3
Showcase 4
Showcase 5
Showcase 6
✨ The Trigger Word
Just add aimaginedworlds at the start of your prompt:
aimaginedworlds, a girl with blue hair sitting in a cafe
That's it! You don't need complex prompting, the style is baked in.
🔌 Recommended: Z-Image-Turbo Prompt Template Node
For optimal results with this LoRA, use my ComfyUI-OllamaGemini node with the new Z-Image-Turbo prompt template:
It does magic prompting using Flux, Veo3.1, Qwen, Gemini, Banana Pro, Imagen4, and more!
Magic Prompting
❤️ Support My Work
Creating high-quality LoRAs takes real time, effort, and money. As you saw above, this project alone cost me ~$60 in cloud compute and days of experimentation.
If this LoRA helps you create beautiful images, please consider supporting my work. Even a small contribution helps me:
🖥️ Cover cloud compute costs for future models
🎨 Train more high-quality anime LoRAs
📚 Share my findings with the community
Every bit of support means the world to me and keeps me going!
