ONNX Model Zoo

Disty0/SoteMixV2

By Disty0 · ↓ 8 · ♥ 3 · Updated 2023-12-22

What's in this repo

This page lists the files in Disty0/SoteMixV2, including model.onnx and more.

  • 4 ONNX models (.onnx files)
  • 37 files, including 12 .json, 9 .safetensors, 4 .onnx, 4 .bin, 4 .xml, 1 .md
  • Last updated 2023-12-22

ONNX files

File Size Download
text_encoder/model.onnx — Download
unet/model.onnx — Download
vae_decoder/model.onnx — Download
vae_encoder/model.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

SoteMix V2.1 is available here:
https://huggingface.co/Disty0/SoteMixV2.1

SoteMix V2 is trained at 1024x1536.
Don't use this model at 512x resolutions, it will be blurry.
Use SoteMix V1 for 512x instead.

Positive Prompts:

(masterpiece, best quality, highres), 1girl,

Negative Prompts:

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

Sampler: Euler a
Steps: 30-40
Clip Skip: 1
CFG: 7
Base Resolution: 1024x / 768x1280 / 1280x768 / 1024x1536 / 1920x1080

Second Pass / Hires:
Sampler: Euler / Euler a
Steps: 10 with Euler / 20 with Euler a
Upscaler: RealESRGAN 4x+ Anime6B / ESRGAN 4x-AnimeSharp with 0.3-0.4 denoise strength.
CFG: 11
Resolution: 2x of the base resolution.

For resolutions above 1024x1024:
Use HyperTile size 512, smaller sizes have very high tendency to burn the image above 2048x2048.
Use low denoise strength and steps. Don't go above 0.3 denoise and 10 steps.
Model can still be chaotic at 1024x1536 and 1920x1080.

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
Epochs: 2
GPU: Intel ARC A770 16GB

Bucket:

bucket 0: resolution (832, 1664), count: 49
bucket 1: resolution (896, 1536), count: 1
bucket 2: resolution (960, 1536), count: 12
bucket 3: resolution (960, 1600), count: 431
bucket 4: resolution (1024, 1344), count: 114
bucket 5: resolution (1024, 1408), count: 31
bucket 6: resolution (1024, 1536), count: 694
bucket 7: resolution (1152, 1344), count: 5
bucket 8: resolution (1216, 1216), count: 24
bucket 9: resolution (1344, 1024), count: 16
bucket 10: resolution (1344, 1152), count: 2
bucket 11: resolution (1536, 896), count: 55
bucket 12: resolution (1536, 1024), count: 7
bucket 13: resolution (1600, 960), count: 45
bucket 14: resolution (1664, 832), count: 21
bucket 15: resolution (2304, 576), count: 1

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) + 0.75 Hires Lora

image/png

Model info

text-to-image diffusers
diffusers onnx safetensors art anime stable diffusion openvino text-to-image en license:creativeml-openrail-m endpoints_compatible diffusers:StableDiffusionPipeline
↓ 8 ♥ 3

Created: 2023-12-16

Updated: 2023-12-22

View on Hugging Face

Files (37)

.gitattributes
README.md
SoteMixV2.safetensors
feature_extractor/preprocessor_config.json
model_index.json
safety_checker/config.json
safety_checker/model.fp16.safetensors
safety_checker/model.safetensors
scheduler/scheduler_config.json
text_encoder/config.json
text_encoder/model.fp16.safetensors
text_encoder/model.onnx ONNX
text_encoder/model.safetensors
text_encoder/openvino_model.bin
text_encoder/openvino_model.xml
tokenizer/merges.txt
tokenizer/special_tokens_map.json
tokenizer/tokenizer_config.json
tokenizer/vocab.json
unet/config.json
unet/diffusion_pytorch_model.fp16.safetensors
unet/model.onnx ONNX
unet/model.onnx_data
unet/openvino_model.bin
unet/openvino_model.xml
vae/config.json
vae/diffusion_pytorch_model.fp16.safetensors
vae_decoder/config.json
vae_decoder/model.onnx ONNX
vae_decoder/openvino_model.bin
vae_decoder/openvino_model.xml
vae_encoder/config.json
vae_encoder/model.onnx ONNX
vae_encoder/openvino_model.bin
vae_encoder/openvino_model.xml

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