🎌 Z-Anime | Full Anime Fine-Tune on Z-Image Base

Full Fine-Tune • Rich Aesthetics • Strong Diversity • Full Negative Prompt Support

BF16 & FP8 • Natural Language Prompts • 8GB VRAM

✨ What is Z-Anime?

Z-Anime is a full fine-tune of Alibaba's Z-Image (Base) architecture — not a LoRA merge, but a completely retrained model optimized for anime aesthetics from the ground up.

Built on the S3-DiT (Single-Stream Diffusion Transformer) with 6 billion parameters, Z-Anime inherits everything that makes Z-Image Base special: rich diversity, strong controllability, full negative prompt support and a high ceiling for fine-tuning — now fully tuned for anime.

This page contains all three variants:

🎌 Z-Anime Base — Full quality, full control, full creativity ⚡ Z-Anime Distill-8-Step — Great results in 8 steps 🚀 Z-Anime Distill-4-Step — Maximum speed, 4 steps

Each variant is available in BF16 (~12GB) and FP8 (~6GB).

🎯 Key Features

✅ Full fine-tune on Z-Image Base — not a LoRA merge

✅ Rich anime aesthetics with strong style diversity

✅ Natural language prompts — detailed descriptions, not tag lists

✅ High diversity across characters, poses, compositions and layouts

✅ LoRA training ready — perfect base for further fine-tuning

✅ Partially NSFW capable

✅ 8GB VRAM compatible

✅ All variants supported by the official Z-Anime ComfyUI Workflow

🗺️ Z-Anime Roadmap

✅ Released

🎌 Z-Anime Standard

Full fine-tune on Z-Image Base — BF16 & FP8

Available now on CivitAI

⚡ Z-Anime-Distill-8-Step

BF16 & FP8 — fast anime generation in 8 steps, CFG 1.0

🚀 Z-Anime-Distill-4-Step

BF16 & FP8 — ultra-fast anime generation in 4 steps, CFG 1.0

📦 GGUF Variants

Now available for low VRAM and AMD GPUs

Since CivitAI currently has no dedicated GGUF category, here is what the files represent:

* Z-Anime-Base-Q8_0 = Pruned Model FP8 (**6.73 GB**)

* Z-Anime-Base-Q4_K_S = Pruned Model NF4 (**4.2 GB**)

🔜 Coming Soon

🔧 Z-Anime ComfyUI Workflow

Official workflow — supports all variants

🎲 Diffusers folder upload on Hugging Face

🔮 Planned

📦 AIO Versions

All versions with VAE + Text Encoder integrated in a single file

More updates coming — follow to stay notified! 🎌

📦 Versions Overview

🟢 BF16 (~12GB)

Maximum precision. BFloat16 format, no quality compromise. Best for professional or commercial work and LoRA training. Still runs on 8GB VRAM.

🟡 FP8 (~6GB)

Recommended for most users. Half the file size, much faster downloads. Excellent quality, barely distinguishable from BF16. Perfect for everyday use and testing.

🎌 Z-Anime Base

The foundation of the Z-Anime family. A full fine-tune with the highest quality ceiling, the widest creative range and full negative prompt support.

Recommended Settings:

Steps:      28–50
CFG:        3.0–5.0  (up to 9.0 possible)
Sampler:    euler_ancestral
Scheduler:  beta
Negative:   strongly recommended — very responsive!

CFG Guide: 3.0–5.0 is the sweet spot for balanced quality and creativity. 5.0–7.0 gives tighter prompt adherence. 7.0–9.0 is for maximum control — watch for over-saturation. Above 9.0 is not recommended.

Negative prompts have full effect on Z-Anime Base. The official workflow ships with an optimized negative prompt ready to use.

⚡ Z-Anime Distill-8-Step

The sweet spot of the family. Distilled from Z-Anime Base, delivering strong anime results in just 8 steps. Much faster than Base while keeping most of the quality intact.

Recommended Settings:

Steps:      8
CFG:        1.0  (max ~1.5)
Sampler:    euler_ancestral
Scheduler:  beta
Negative:   limited effect

CFG Guide: Runs best at CFG 1.0 by design. Small nudges up to 1.3–1.5 are possible for slightly tighter prompt adherence. Do not go above 1.5 — artifacts may appear.

Negative prompts have limited effect at this distillation level. Use ConditioningZeroOut (included in the workflow) instead of writing a full negative prompt.

🚀 Z-Anime Distill-4-Step

The fastest Z-Anime variant. Built for maximum throughput — rapid prototyping, batch generation and situations where speed matters most.

Recommended Settings:

Steps:      4
CFG:        1.0  (max ~1.5)
Sampler:    euler_ancestral
Scheduler:  beta
Negative:   limited effect

CFG Guide: At 4 steps the model has very little correction room. Stay at CFG 1.0 for the most stable results. Nudging up to 1.3–1.5 is possible but increases instability. Do not go above 1.5.

Tips for 4-Step: Be specific and front-load the most important details early in your prompt. The optional upscaler (hires fix or SeedVR2) in the workflow is especially useful here to recover fine detail.

📐 Resolution Guide

⭐ Portrait: 832×1216 — Character art Landscape: 1216×832 — Scenes, backgrounds Square: 1024×1024 — General purpose Tall: 768×1344 — Full body, phone wallpaper Cinematic: 1920×1088 — Wide scenes, wallpapers High Quality: 1024×1536 — Detailed portraits

Supported range: 512×512 to 2048×2048, any aspect ratio. All resolutions run on 8GB VRAM.

💡 Prompting Guide

Natural language — not tag lists!

✅ Good:

A young anime girl with long silver hair and golden eyes, wearing a 
traditional shrine maiden outfit with white haori and red hakama. 
She stands in a sunlit bamboo forest, cherry blossoms falling softly 
around her. Warm afternoon light filtering through the trees, 
detailed fabric shading, expressive face, calm serene expression. 
High quality anime illustration with fine line work.

❌ Avoid:

anime girl, silver hair, shrine maiden, bamboo, cherry blossom, warm light

Character portraits:

Detailed anime portrait of [character], soft rim lighting, 
expressive eyes with detailed reflections, fine hair strands, 
clean linework, professional anime illustration quality.

Action scenes:

Dynamic anime [scene], dramatic angle, motion energy, speed lines, 
particle effects, cinematic composition, detailed shading, 
high quality anime art.

Backgrounds & landscapes:

Anime [location] at [time of day], [lighting], [atmosphere], 
Studio Ghibli inspired detail level, beautiful background art, 
wallpaper quality.

🔧 Installation

Step 1 — Download your version (BF16 or FP8) for the variant you want.

Step 2 — Place the files:

ComfyUI/models/diffusion_models/
└── z-anime-base-bf16.safetensors        (Base BF16)
└── z-anime-base-fp8.safetensors         (Base FP8)
└── z-anime-distill-8step-bf16.safetensors
└── z-anime-distill-8step-fp8.safetensors
└── z-anime-distill-4step-bf16.safetensors
└── z-anime-distill-4step-fp8.safetensors

**GGUF variants**
ComfyUI/models/unet/
└── z-anime-q8_0.gguf
└── z-anime-q4_k_s.gguf

ComfyUI/models/clip/
└── qwen_3_4b.safetensors

ComfyUI/models/vae/
└── ae.safetensors

Step 3 — Load in ComfyUI:

Use the Load Diffusion Model node for the model file, a CLIPLoader node for the text encoder and a VAELoader node for the VAE.

Or use the official Z-Anime ComfyUI Workflow — it handles all three variants and both precisions with a built-in model switch.

For the GGUF versions:

- Load the **GGUF model from the models/unet/ folder**

- Use the same **CLIP** and **VAE** files as above

📦 Custom Nodes (for the official workflow)

• rgthree-comfy

• ComfyUI-Lora-Manager

• ComfyUI-SeedVR2_VideoUpscaler (optional, only for SeedVR2 upscale)

📈 Version History

v1.0 — Initial Release

- Z-Anime Base: Full fine-tune on Z-Image Base, available in BF16 & FP8

- Z-Anime Distill-8-Step: Available in BF16 & FP8

- Z-Anime Distill-4-Step: Available in BF16 & FP8

- GGUF Variants added:

- Z-Anime-Q8_0 = pruned FP8 model

- Z-Anime-Q4_K_S = pruned NF4 model

- Optimized for euler_ancestral + beta across all variants

- Official ComfyUI Workflow included

🙏 Credits

Base Architecture: Tongyi Lab (Alibaba) — Z-Image Fine-Tune: SeeSee21 License: Apache 2.0 Architecture: S3-DiT (Single-Stream Diffusion Transformer, 6B parameters) Base Model: Tongyi-MAI/Z-Image GitHub: Tongyi-MAI/Z-Image

Z-Anime — Anime at its finest, powered by Z-Image Base. 🎌