Sample Image 1 Satanichia Kurumizawa Mcdowell	Sample Image 2 Erza Scarlet	Sample Image 3 Hinata Kaho
Sample Image 4 Onodera Kosaki and Kirisaki Chitoge	Sample Image 5 Katou Megumi	Sample Image 6 Jabami Yumeko

Overview

Introducing Rae Diffusion XL , an enhanced iteration based on the Animagine XL 3.1 model, specifically fine-tuned for generating stunning anime-style artwork. Building on the robust foundation of the SDXL model, Rae Diffusion XL is meticulously optimized to excel in depicting anime characters, pushing the boundaries of creativity.

Model Details

Developed by: Raelina
Model type: Diffusion-based text-to-image generative model
Model Description: Rae Diffusion XL is an enhanced iteration built on the Animagine XL 3.1 model. It is fine-tuned for high-quality anime-style character art generation.
License: Fair AI Public License 1.0-SD
Finetuned from: Animagine XL 3.1

Usage Guidelines

Tag Ordering

For optimal results, it's recommended to follow the structured prompt template because we train the model like this:

1girl/1boy, character name, from which series, everything else in any order.

Special Tag

Rae Diffusion XL inherits special tags from Animagine XL 3.1 to enhance image generation by steering results toward quality, rating, creation date, and aesthetic. While the model can generate images without these tags, using them helps achieve better results.

Quality tags: masterpiece, best quality, great quality, good quality, normal quality, low quality, worst quality
Rating tags: safe, sensitive, nsfw, explicit
Year tags: newest, recent, mid, early, oldest
Aesthetic tags: very aesthetic, aesthetic, displeasing, very displeasing

Recommended settings

Positive prompts:

masterpiece, best quality, ultra detailed, very aesthetic,

Negative prompts:

(low quality, worst quality:1.2), very displeasing, ugly, interlocked fingers, badly drawn, anatomically incorrect hands, signature, watermark,

CFG: 7
Sampling steps: 25 to 30
Sampler: Euler a
Supported Resolution:

1024 x 1024, 1152 x 896, 896 x 1152, 1216 x 832, 832 x 1216, 1344 x 768, 768 x 1344, 1536 x 640, 640 x 1536

Hires.fix Setting

Upscaler: 4x_NMKD-YandereNeoXL
Hires step: 10-15
Denoising: 0.1-0.3 or 0.55 for latent upscaler

Training config

Hardware: 1x RTX 3090 24gb
Batch size: 12
Gradient Accumulation: 1
Epochs: 15
Learning Rate: 5e-5
Optimizer: Adafactor
Optimizer Args: (Scale Parameter: False, Relative Step: False, Warmup Init: False)
Scheduler: Constant with warmup
Warmup steps: 0.05
Noise offset: 0.0357
Algorithm: Locon

License

Rae Diffusion XL now uses the Fair AI Public License 1.0-SD inherited from Animagine XL 3.1, compatible with Stable Diffusion models. Key points:

Modification Sharing: If you modify Rae Diffusion XL, you must share both your changes and the original license.
Source Code Accessibility: If your modified version is network-accessible, provide a way (like a download link) for others to get the source code. This applies to derived models too.
Distribution Terms: Any distribution must be under this license or another with similar rules.
Compliance: Non-compliance must be fixed within 30 days to avoid license termination, emphasizing transparency and adherence to open-source values.

Raelina/Rae-Diffusion-XL

Rae Diffusion XL