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Raehoshi Illust XL

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 Raehoshi Illust XL - AI Model cover image
Caricato su
27 mag 2025, 23:13
Utilizzi
4.0k
Reviews
Good  (2)
Permessi
  • Allow image generation & sharing
  • Permettete agli utenti di scaricare il vostro modello
  • Usi commerciali

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Descrizione

https://civitai.com/models/846917/raehoshi-illust-xl?modelVersionId=1838339

Raehoshi Illust XL an enhanced iteration built upon the Illustrious XL model. It aims to elevate the visual style by addressing some of the limitations in the original, such as oversaturation and artifact noise. While these issues are not entirely eliminated, noticeable improvements have been made. The goal is to deliver a more polished, balanced output while staying true to the strengths of the base model.

Why Early Access?

Early access helps cover the cost of training and development. By purchasing early access, you're directly supporting the development of my models. If you'd like to support me further, you can also buy me a coffee on Ko-fi! Your support keeps the project going and ensures even better models in the future.

Recommended setting Positive prompt :

masterpiece, best quality, good quality Negative prompt :

lowres, bad quality, worst quality, bad anatomy, sketch, missing finger, extra digits, fewer digits, signature, watermark, username Steps : 25-28

CFG : 5-6

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 YandereNeo XL / 4x Illustration Janai

Hires step : 10-15

Denoise : 0.1-0.3

Training Details The model was developed using a two-stage fine-tuning process. In Stage 1, new series and characters were introduced into the model. Stage 2 focused on fixing issues and enhancing the overall style for improved output.

Stage 1

Dataset : v1-31k, v2-37k, v3-34k, v4-60k, v5-18k

Hardware : 2x A100 80gb, v3 and v4, v5-2x H100 80gb

Batch size : 32

Gradient accumulation steps : 2

Learning rate : 6e-6

Text encoder : 3e-6

Epoch : 15

Stage 2

Dataset : v1-2.5k, v2 and v3-2.3k, v4-2.5k, v5-2k

Hardware : 1x A100 80gb

Batch size : 48

Gradient accumulation steps : 1

Learning rate : 3e-6

Text encoder : disable

Epoch : 15

List of New Series/Characters Trained: Zenless zone zero character up to 1.7

Wuthering waves character up to 2.4

HSR character up to 3.3

Genshin character up to 5.6

Dandadan

Make heroine ga oo sugiru

Kusuriya no Hotorigoto

Hololive from justice and dev is

Indie Vtuber dooby and yuuki Sakuna

100 girlfriends who really love you

For character prompts, please refer to the Danbooru site for accurate tags and references.

License Fair AI Public License 1.0-SD

Special thanks to Joe for supporting my works

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