Rae Diffusion XL
v2.0







Overview
Introducing Rae Diffusion XL V2 , an enhanced iteration based on the Animagine XL 3.1 model, specifically fine-tuned for generating stunning anime-style artwork. Rae Diffusion XL V2 is meticulously optimized to excel in depicting anime characters, pushing the boundaries of creativity.
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Anime Series
New additional anime series that have been trained in V2:
Zombie land saga, Yuru yuri, To love-ru, Amagi brilliant park, Avatar legends, Highschool of the dead, Infinite stratos, Inuyasha, Kara no kyoukai, Monster musume no iru nichijou, Seishun buta yarou, Snk, Tekken, Wuthering waves.
Wildcard character available to download here
*Note: Some characters might not have been properly generated due to the low dataset available.
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.
Recommended settings
Positive prompts:
masterpiece, best quality, very aesthetic, absurdres,
Negative prompts:
(low quality, worst quality:1.2), very displeasing, ugly, poorly drawn, 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-YandereNeoXLHires step: 10-15Denoising: 0.1-0.3 or 0.55 for latent upscaler
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.
