Model details

Merge of the following models, credit goes to their authors (permissions & commercial use inherited from the strictest source model):

For exact recipe of each version, check the version descriptions.

Usage

It is highly recommended to download and use the following extensions:

https://github.com/Bing-su/adetailer - improves face/hand details when generating character images
https://github.com/mcmonkeyprojects/sd-dynamic-thresholding - improves behavior of the CFG scale, allows for more detail without loss of quality

Recommended LoRa for further details in images: https://civitai.com/models/153562?modelVersionId=17????

Recommended settings

VAE: vae-ft-mse-840000-ema-pruned
Clip skip: 1 or 2
Steps: 25
CFG Scale: 7 (without dynamic thresholding), 20 (with dynamic thresholding)
Sampler: DPM++ 2M Karras or DPM++ 2M SDE Karras
Upscaler: 4x-UltraSharp or R-ESRGAN 4x+ Anime6B
ADetailer:
- 1st ADetailer: face_yolov8n
- 2nd ADetailer: hand_yolov8n
Dynamic Thresholding:
- Mimic CFG Scale: 7
- Top percentiles of latents to clamp: 100
- Mimic Scale Scheduler: Half Cosine Up, min value 5.0
- CFG Scale Scheduler: Half Cosine Up, min value 5.0

Hires. fix (upscaling) helps with enhancing the images, but results are fine even without upscale, using the above settings (so you only need to use Hires. fix, if you need the higher resolution). Example (made with v1.0):

Description

Further checkpoints & LoRas merged, check description for details. Pruned, f16 safetensors format.

v3.0 Recipe:

BMRA = brickMortar_v10 + restlessanimance_v10 (weighted block merge)

weights: 1,0.800968123070988,0.674238040123457,0.575358072916667,0.501543209876543,0.450008439429012,0.41796875,0.402639130015432,0.401234567901235,0.410970052083333,0.429060570987654,0.452721113040124,0.479166666666667,0.50561222029321,0.529272762345679,0.54736328125,0.557098765432099,0.555694203317901,0.5403??583333333,0.508324893904322,0.456790123456789,0.382975260416667,0.284095293209876,0.157365210262345,0

brickMortar_v30 = BMRA + seizamix_v2.safetensors (weighted block merge)

Additional modifications to the final merge via LoRa merging:

FZB_line_weights:0.35 (https://civitai.com/models/81238?modelVersionId=86180 )

outline:0.2 (https://civitai.com/models/81340/outline )