Type | |
Stats | 425 |
Reviews | (75) |
Published | Oct 21, 2024 |
Base Model | |
Hash | AutoV2 0C9FC92CA2 |
Raehoshi Illust XL
an enhanced iteration built upon the Illustrious XL v01 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, and further refinements will continue. The goal is to deliver a more polished, balanced output while staying true to the strengths of the base model.
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Also check out my other models on Mage: Raepix Focus XL / Raepix Focus XL Lightning / Raevitamix Realistic / Raevista XL
Recommended setting
Positive prompt :
masterpiece, best quality, good quality,
Negative prompt :
lowres, (bad quality, worst quality:1.2), bad anatomy, sketch, jpeg artifacts, ugly, poorly drawn, signature, watermark,
*Optional: If you notice excessive noise or artifacts in the background, try adding "film grain" to the negative prompt to reduce it.
Steps : 28
CFG : 5-7
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
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 : 31k
Hardware : 2x A100 80gb
Batch size : 32
Gradient accumulation steps : 2
Learning rate : 6e-6
Text encoder : 3e-6
Epoch : 15
Stage 2
Dataset : 2.5k
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 series character
wuthering waves series character
hololive from justice and dev is
HSR character from 2.2 - 2.5 version
tokidoki bosotto roshia-go de dereru tonari no alya-san series
For character prompts, please refer to the Danbooru site for accurate tags and references.