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Enjoy_Realistic (Alone)

149
1.2k
14
Verified:
SafeTensor
Type
Checkpoint Trained
Stats
613
Reviews
Published
Oct 16, 2023
Base Model
SDXL 1.0
Hash
AutoV2
8D50957750
default creator card background decoration
Holiday 2023: Red Victory
SHiJ's Avatar
SHiJ

Introduction: Wan Xiang Fantasy Realistic xl Series v6, this version enhances the stability of figure drawing, skin texture, skin texture, light and shadow optimization, figure shape optimization, science fiction style, fantasy style, etc. (running head portrait, portrait, half-body photo, full-body photo, etc.)

Recommended sampling: supports multiple sampling (refer to Figure 2 for sampling effect)

Recommended magnification: 4x-UltraSharp ,SwinIR_4x,

Recommended size: random size

Magnification: maximum not more than 1.55 times (to avoid distortion)

AD repair can be selected according to the actual plotting effect

Note:

This model is public and can be fused. Please note the author of this model. Thank you, friends ~!


In this version, the effort is made to enhance realism in a number of ways. A comprehensive graphics upgrade has been carried out to provide more detailed and realistic visual effects. Light and shadow effects are optimized to make the scene more realistic. In addition, materials and textures have been improved to make the surface of the object more realistic and realistic. In addition to the visual upgrade, also pay attention to each action and environmental effects. Some new elements have also been added.


This model can run most scenes. The following are the settings for this model


Sampler method: dpm 2m karras, other algorithms can be selected by yourself

High-resolution repair opening algorithm: r-esrgan_4x anime6b are commonly used, and other algorithms are adjusted according to the actual plotting effect.

Weight:(0.8)

Sampling steps:(25) or even higher (adjusted according to personal configuration)

cfg scale: (default 7)

Width (&) Height: (random scale)

It is recommended to open the adetailer in the running chart.

adetailer recommendation: face_yolov8n_v2 (if the replacement algorithm can be selected)