SoteMix - v2.0

SoteMix

CHECKPOINT
Original


Updated:

SoteMix by Disty on Tensor.Art
SoteMix by Disty on Tensor.Art
SoteMix by Disty on Tensor.Art
SoteMix by Disty on Tensor.Art
SoteMix by Disty on Tensor.Art
SoteMix by Disty on Tensor.Art

SoteMix V3 is trained at 1024x1536 for high resolution image generations.

Also available at Hugging Face:

OpenVINO and ONNX are supported too.

https://huggingface.co/Disty0/SoteMixV3

This model is tested on with Diffusers backend and HyperTile size 0 (Auto).

Positive Prompts:

masterpiece, best quality, highres, 1girl,

Negative Prompts:

(worst quality, low quality, lowres), zombie, interlocked fingers,

Do not use any negative embeddings.

Sampler: Euler a

Steps: 30-40

Clip Skip: 1 or 2

CFG: 4-7

Base Resolution: 512x / 768x / 1024x / 768x1280 / 1280x768 / 1024x1536 / 1920x1080

SoteMix V2 can still be chaotic at 1024x1536 and 1920x1080.

Second Pass / Hires:

Sampler: Euler / Euler a

Steps: 10 with Euler / 20 with Euler a

Upscaler: RealESRGAN 4x+ Anime6B / ESRGAN 4x-AnimeSharp with 0.2-0.3 denoise strength.

CFG: 6-9

Resolution: 2x of the base resolution.

Training:

My GPU couldn't handle full model training at these resolutions so i trained it as a 512 layer Lora with SoteMix V1 as the base.

Used highres as the trigger word. Also used raifu trigger word with my OC character.

Resolution: 1024x1536 with Bucketing

Batch Size: 1

GPU: Intel ARC A770 16GB

Bucket:

bucket 0: resolution (832, 1664), count: 49

bucket 1: resolution (896, 1280), count: 1

bucket 2: resolution (896, 1536), count: 2

bucket 3: resolution (960, 1408), count: 8

bucket 4: resolution (960, 1472), count: 57

bucket 5: resolution (960, 1536), count: 12

bucket 6: resolution (960, 1600), count: 537

bucket 7: resolution (1024, 1344), count: 266

bucket 8: resolution (1024, 1408), count: 349

bucket 9: resolution (1024, 1472), count: 1535

bucket 10: resolution (1024, 1536), count: 950

bucket 11: resolution (1088, 1280), count: 63

bucket 12: resolution (1152, 1216), count: 62

bucket 13: resolution (1152, 1280), count: 147

bucket 14: resolution (1152, 1344), count: 114

bucket 15: resolution (1216, 1152), count: 44

bucket 16: resolution (1216, 1216), count: 409

bucket 17: resolution (1216, 1280), count: 53

bucket 18: resolution (1280, 576), count: 20

bucket 19: resolution (1280, 640), count: 94

bucket 20: resolution (1280, 704), count: 217

bucket 21: resolution (1280, 768), count: 102

bucket 22: resolution (1280, 832), count: 118

bucket 23: resolution (1280, 896), count: 280

bucket 24: resolution (1280, 960), count: 137

bucket 25: resolution (1280, 1024), count: 32

bucket 26: resolution (1280, 1088), count: 27

bucket 27: resolution (1280, 1152), count: 61

bucket 28: resolution (1280, 1216), count: 24

bucket 29: resolution (1344, 1024), count: 17

bucket 30: resolution (1344, 1152), count: 38

bucket 31: resolution (1536, 896), count: 94

bucket 32: resolution (1536, 1024), count: 34

bucket 33: resolution (1600, 960), count: 196

bucket 34: resolution (1664, 832), count: 21

bucket 35: resolution (2048, 768), count: 3

bucket 36: resolution (2304, 576), count: 1

mean ar error (without repeats): 0.01257769833438255

Merge:

Merged SoteMix V1 with Lunar Radiance Light and then merged the Hires Lora i trained on top of it.

Merge ratio: (0.6 SoteMix V1 + 0.4 Lunar Radiance Light) + 0.7 Hires Lora

SoteMix V1:

A Stable Diffusion 1.5 anime model.

Also available at Hugging Face:

https://huggingface.co/Disty0/SoteMix

LCM version is available here:

https://huggingface.co/Disty0/LCM_SoteMix

Mege:

0.7(0.75(0.75(0.75(0.75(0.75(0.5(SomethingV2_2) + 0.5(meinapastel_v5Anime)) + 0.25(meinaalter_v2)) + 0.25(meinamix_meinaV9)) + 0.25(nyanMix_230303Intense)) + 0.25(mixProV4_v4)) + 0.25(breakdomain_M2150)) + 0.3(0.4(SomethingV2_2) + 0.6(meinapastel_v5Anime))

And baked in Blessed2 VAE

Version Detail

SD 1.5
3200
2
New merge trained at 1024x1536 Do Not Use This Model At 512x Resolution

Project Permissions

    Use Permissions

  • Use in TENSOR Online

  • As a online training base model on TENSOR

  • Use without crediting me

  • Share merges of this model

  • Use different permissions on merges

    Commercial Use

  • Sell generated contents

  • Use on generation services

  • Sell this model or merges

Related Posts