Let's take a look at the instructions first!!!

Goose flock:

Moyou Alchemy Pavilion - Taiqing Pavilion: 858495398

Moyou Alchemy Pavilion - Shangqing Pavilion: 764481772

Please also pay more attention to my Little Red Book and Tiktok account: yy469370733

Mo You: The main beauty lies in the collection, screening, and refinement of all materials, the production of training sets for all rounds, the fusion fine-tuning of models after training (all fusion material models are based on SDXL1.0 training models), as well as the 4, 5, and 6 rounds of large model training, final fine-tuning, and testing for all rounds.

Special thanks:

Zhao Tutu, a migrant worker from Tianxuan, provides detailed technical guidance for the first, second, and third rounds of large-scale model training.

Thanks:

LEOSAM: Feasibility verification of sdxl real person model.

ArienTOP: Theoretical support.

Introduction: The XL model has made a qualitative leap in the realism of human portraits, with unparalleled visual impact of light and shadow, rich and infectious emotional expression. It performs well in fashion blockbusters in studios, realistic outdoor photography, natural mobile phone photography, or artistic photography.

Suggestion for generation: (Please refer to the example image tag more)

Recommended tag: (does not support stable plotting of fixed simple tags, it is recommended to refer to example images for more descriptions)

Be sure to add some natural language descriptions!!!

Positive: Chinese woman, moyou, (Chinese woman triggers Asian features)

(Selective addition of positive trigger tags, it is recommended to refer to the example image description or self select the original image package for reference when joining the group)

Negative: (best quality, low quality, cgi, bad eye, best eye, illustration, carton), deformed, destroyed, shown, poor drawing, bad anatomy, wrong anatomy, open mouth,

(Negative tags are more universal and can be used as fixed negative tags for characters)

It is basically possible to enable the After Detailer facial contouring plugin without thinking, and when enabled, copy the positive and negative tags completely to the corresponding positions of the positive and negative tags in the After Detailer

Recommended parameters:

CLIP termination layer: 2

Vae: Built in (select none)

Iteration steps: 30-50

Sampling method: DPM++2M Karras

Recommended resolution (both horizontal and vertical): 1024 x 1024, 1024 x 1280, 768 x 1280, 888 x 1280

(The resolution can also be adjusted within the range of 1024 x 1024)

CFG Scale: 7

Do not enable high-resolution repair!

Do not activate facial repair!

Creative Overview and Issues Solved:

1. It directly solves the low resolution problem of AI photography, with a straight out resolution of 1280 x 1024 providing clearer and richer details, as well as a more delicate texture. Provides a higher upper limit for secondary amplification processing through other software after straight out.

2. The far superior lighting performance, unparalleled emotional appeal, more natural and realistic expressions, more detailed and rich depictions, and more exaggerated lens language transmission all provide a more solid foundation for AI virtual photography.

3. Extremely subtle camera language, even large head shots can have a noticeable large aperture effect.

Please return more pictures for support! Thank you!!!