NewBie

NewBie image Exp0.1 is a 3.5B parameter open-source text-to-image model built on the Next-DiT architecture, developed by the NewBie-AI community. It is specifically pretrained on high-quality anime data for detailed and visually striking anime-style image generation.

Model Variants

NewBie image Exp0.1

3.5B parameter DiT model based on Next-DiT architecture
Uses Gemma3-4B-it as primary text encoder with Jina CLIP v2 for pooled features
FLUX.1-dev 16-channel VAE for rich color rendering and fine texture detail
Supports natural language, tags, and XML structured prompts
Non-commercial community license (Newbie-NC-1.0) for model weights

Key Features

Exceptional anime and ACG (Anime, Comics, Games) style generation
XML structured prompting for improved attribute binding and element disentanglement
Strong multi-character scene generation with accurate attribute assignment
Hanzo Studio integration via dedicated custom nodes
LoRA training support with community trainer
Built on research from the Lumina architecture family

Hardware Requirements

Minimum: 12GB VRAM (bfloat16 or float16)
Recommended: 24GB VRAM for comfortable generation
Requires Gemma3-4B-it and Jina CLIP v2 text encoders
Python 3.10, PyTorch 2.6.0+, Transformers 4.57.1+

Common Use Cases

Anime and illustration generation
Character design with precise attribute control
Multi-character scene composition
Fan art and creative anime artwork

Key Parameters

num_inference_steps: 28 recommended
height/width: 1024x1024 native resolution
prompt_format: Natural language, tags, or XML structured
torch_dtype: bfloat16 recommended (float16 fallback)

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