Overview
Raemu XL V4 is a merged model that focused in 2.5D Anime
Model Details
- Developed by: Raelina
- Model type: Diffusion-based text-to-image generative model
- Model Description: Generate high-quality anime images from textual prompts
- License: Fair AI Public License 1.0-SD
- Finetuned from: Rae Diffusion XL V2
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
Raemu XL inherits special tags from Rae DIffusion XL V2 to enhance image generation by steering results toward quality 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
- Aesthetic tags: very aesthetic, aesthetic, displeasing, very displeasing
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 35
- 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
Merge Parameter
- Rae Diffusion XL V2 merged to RealCartoonXL V6 using MBW (0.0,1.0,0.8,0.5,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.5,0.71,1.0,0.56,0.71,1.0,0.83,0.1,0)
- (1) merged with Blue Pencil XL v3.1.0 using MBW (0.0,0.11,0.22,0.33,0.44,0.55,0.44,0.33,0.22,0.11,0.0,0.11,0.22,0.33,0.44,0.55,0.44,0.33,0.22,0.11,0)
- Raemu XL V4
License
Raemu XL V4 uses the Fair AI Public License 1.0-SD inherited from Rae Diffusion XL V2, compatible with Stable Diffusion models. Key points:
- Modification Sharing: If you modify Raemu XL V4, 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.