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AstolfoMix-XL

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AstolfoMix-XL (TGMD-192 / TGMD / TSD / TIES-SOUP / Extended-FP64 / Baseline)

  • Unsolved merge, even with experience on SD1 and SD2.
  • See full article in Github
  • Since "Extended-FP64", dedicated merger sd-mecha is used. It is the SD version of mergekit.
  • Preview here are powered by the top session of README.md and converting SDXL model from A1111 standalone file into diffuers via convert_sdxl_to_diffusers.py. Settings may not being optimal (no CFG / PAG / FreeU etc). I'll replace the preview diffuser as soon as I upload the main model file.

TGMD-192

  • Scaled up version from TGMD (from 117 to 192)

  • Recipe, E2E merger.

  • Current version: x191a-AstolfoMix-24083001-3360d18.safetensors

  • Recommended version: "x191a"

  • Recommended CFG: 4.5 (with CHG = 1.0), 3.0 (with PAG = 1.0)

  • Prompt is minimal. Even empty.

241007-2435649982-2016-1152-3-256-20240906071641.jpg

parameters

(car:0), [[lamborghini]], (1boy:0), [astolfo]
Steps: 256, Sampler: Euler, Schedule type: Automatic, CFG scale: 3, Seed: 2435649982, Size: 1344x768, Model hash: 4c118beaa8, Model: x191a-AstolfoMix-24083001-3360d18, VAE hash: 235745af8d, VAE: sdxl-vae-fp16-fix.vae.safetensors, Denoising strength: 0.7, Clip skip: 2, FreeU Stages: "[{\"backbone_factor\": 1.1, \"skip_factor\": 0.6}, {\"backbone_factor\": 1.2, \"skip_factor\": 0.4}]", FreeU Schedule: "0.0, 1.0, 0.0", FreeU Version: 2, Hires upscale: 1.5, Hires steps: 64, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.3, Threshold percentile: 100, PAG Active: True, PAG SANF: True, PAG Scale: 1, PAG Start Step: 0, PAG End Step: 2048, Version: v1.10.1

TGMD (TIES-GeometricMedian w/ DROP)

  • TGMD Merge of 116 SDXL models, unfiltered. TGMD is an algorithm modified from Model Stock.

  • Recipe, E2E merger.

  • Current version: x116a-AstolfoMix-24060702-01823a9.safetensors

  • Recommended version: "x116a"

  • Recommended CFG: 4.5 (with CHG = 1.0), 3.0 (with PAG = 1.0)

  • Prompt is minimal. Even empty.

240672-1526207600-2688-1536-3-256-20240615232306.jpg

parameters

[[striped thighhighs]], [[midriff]], [[striped shirt]], [[hoodie]], [[braid]], [astolfo], [[[[eiffel tower, france]]]]
Steps: 256, Sampler: Euler, Schedule type: Automatic, CFG scale: 3, Seed: 1526207600, Size: 1344x768, Model hash: bc747cafd1, Model: x116a-AstolfoMix-24060702-01823a9, VAE hash: 235745af8d, VAE: sdxl-vae-fp16-fix.vae.safetensors, Denoising strength: 0.7, Clip skip: 2, FreeU Stages: "[{\"backbone_factor\": 1.1, \"skip_factor\": 0.6}, {\"backbone_factor\": 1.2, \"skip_factor\": 0.4}]", FreeU Schedule: "0.0, 1.0, 0.0", FreeU Version: 2, Hires upscale: 2, Hires steps: 64, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.3, Threshold percentile: 100, PAG Active: True, PAG Scale: 1, Version: v1.9.4

TSD (TIES-SOUP w/ DROP)

  • TSD Merge of 102 SDXL models, unfiltered. TSD is an algorithm modified from DARE Merge (ICML 2024).

  • Recipe, E2E merger.

  • Current version: x101a-AstolfoMix-24050903-4edc67c.safetensors

  • Recommended version: "x101a"

  • Recommended CFG: 4.5 (with CHG = 1.0), 3.0 (with PAG = 1.0)

  • Prompt is minimal. Even empty.

240564-3134096594-2688-1536-3-256-20240513053626.jpg

parameters

(hippogriff:0.98), [braid], [[cape]], [[astolfo]], [[[[greece]]]]
Steps: 256, Sampler: Euler, Schedule type: Automatic, CFG scale: 3, Seed: 3134096594, Size: 1344x768, Model hash: 7668681e22, Model: x101a-AstolfoMix-24050903-4edc67c, VAE hash: 235745af8d, VAE: sdxl-vae-fp16-fix.vae.safetensors, Denoising strength: 0.7, Clip skip: 2, FreeU Stages: "[{\"backbone_factor\": 1.1, \"skip_factor\": 0.6}, {\"backbone_factor\": 1.2, \"skip_factor\": 0.4}]", FreeU Schedule: "0.0, 1.0, 0.0", FreeU Version: 2, Hires upscale: 2, Hires steps: 64, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.3, Threshold percentile: 100, PAG Active: True, PAG Scale: 1, Version: v1.9.3

TIES-SOUP

  • TIES-SOUP of 73 SDXL models, unfiltered. TIES-SOUP is an algorithm modified from TIES merging (NeurIPS 2023).

  • Recipe, E2E merger.

  • Current version: x72a-AstolfoMix-240421-feefbf4.safetensors

  • Recommended version: "x72a"

  • Recommended CFG: 4.5 (with CHG = 1.0), 3.0 (with PAG = 1.0)

  • Prompt is minimal. Even empty.

230748.jpg

parameters

(car:0), [[mclaren]], [astolfo]
Steps: 256, Sampler: Euler, Schedule type: Automatic, CFG scale: 3, Seed: 1504757665, Size: 1344x768, Model hash: e276a52700, Model: x72a-AstolfoMix-240421-feefbf4, VAE hash: 26cc240b77, VAE: sd_xl_base_1.0.vae.safetensors, Denoising strength: 0.7, Clip skip: 2, FreeU Stages: "[{\"backbone_factor\": 1.1, \"skip_factor\": 0.6}, {\"backbone_factor\": 1.2, \"skip_factor\": 0.4}]", FreeU Schedule: "0.0, 1.0, 0.0", FreeU Version: 2, Hires upscale: 1.5, Hires steps: 64, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.3, Threshold percentile: 100, PAG Active: True, PAG Scale: 1, Version: v1.9.3

Extended-FP64

  • Uniform merge of 52 UNETS + (61+42) CLIPS (from 70 models discovered).

  • Current version: x51-AstolfoMix-x60te0x41te1-e2e-240407-feefbf4.safetensors

  • Recommended version: "x51"

  • Recommended CFG: 4.5 (with CHG = 1.0), 3.0 (with PAG = 1.0)

  • Prompt is minimal.

240426-1841382272-2016-1152-4.5-256-20240418043456.png

parameters

(car:0), [[mclaren]], (1boy:0), [astolfo]
Steps: 256, Sampler: Euler, Schedule type: Automatic, CFG scale: 4.5, Seed: 1841382272, Size: 1344x768, Model hash: a52eba463d, Model: x51-AstolfoMix-x60te0x41te1-e2e-240407-feefbf4, VAE hash: 26cc240b77, VAE: sd_xl_base_1.0.vae.safetensors, Denoising strength: 0.7, Clip skip: 2, CHG: "{'RegS': 1, 'RegR': 1, 'MaxI': 50, 'NBasis': 0, 'Reuse': 1, 'Tol': -4, 'IteSS': 1, 'ASpeed': 0.4, 'AStrength': 0.5, 'AADim': 2, 'CMode': 'More ControlNet', 'StartStep': 0, 'StopStep': 1}", FreeU Stages: "[{\"backbone_factor\": 1.1, \"skip_factor\": 0.6}, {\"backbone_factor\": 1.2, \"skip_factor\": 0.4}]", FreeU Schedule: "0.0, 1.0, 0.0", FreeU Version: 2, Hires upscale: 1.5, Hires steps: 64, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.3, Threshold percentile: 100, Refiner switch by sampling steps: True, Version: v1.9.0

Baseline

  • Uniform merge of 32 UNETS + (19+26) CLIPS (from 21 models). Discovered model count: 42. It is a spinoff of Uniform Soup.

  • Current version: x17-AstolfoMix-x13te0x14te1.safetensors

  • Recommended version: "x17" for full experience, or "x11c" for human focused.

  • Recommended CFG: 4.5

  • Prompt is minimal.

240234-2213673007-2016-1152-4.5-192-20240210015331.jpg

parameters

(solo:0), (boy:0), (qipao:0.98), [astolfo_\(fate\)], [[lunar new year]], [[[[kowloon]]]]
Steps: 192, Sampler: Euler, CFG scale: 4.5, Seed: 2213673007, Size: 1344x768, Model hash: 82f53a8fe1, Model: x17-AstolfoMix-x13te0x14te1, VAE hash: 26cc240b77, VAE: sd_xl_base_1.0.vae.safetensors, Denoising strength: 0.7, Clip skip: 2, FreeU Stages: "[{\"backbone_factor\": 1.1, \"skip_factor\": 0.6}, {\"backbone_factor\": 1.2, \"skip_factor\": 0.4}]", FreeU Schedule: "0.0, 1.0, 0.0", FreeU Version: 2, Hires upscale: 1.5, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.3, Threshold percentile: 100, Version: v1.7.0

Recipes / Model selection logs / Models involved

Round Algo Model Name RAW UNET TE0 TE1 Recipe
01 Uniform Soup x17-AstolfoMix-x13te0x14te1.safetensors 42 32 14 21 json
02 Uniform Soup x43-AstolfoMix-x22te0x31te1.safetensors 50 44 22 31 mecha
03 Uniform Soup x45-AstolfoMix-x39te0x39te1-e2e-240222-60d0764.safetensors 52 46 40 40 mecha
04 Uniform Soup x63-AstolfoMix-x60te0x41te1-e2e-240407-feefbf4.safetensors 70 52 61 42 mecha
05 TIES-SOUP x72a-AstolfoMix-240421-feefbf4.safetensors 73 73 73 73 mecha
06 TIES-SOUP w/ DROP x101a-AstolfoMix-24050903-4edc67c.safetensors 102 102 102 102 mecha
07 TGMD: TIES-GeometricMedian w/ DROP x116a-AstolfoMix-24060702-01823a9.safetensors 117 117 117 117 mecha
08 TGMD-192: Scaled up from TGMD x191a-AstolfoMix-24083001-3360d18.safetensors 192 192 192 192 mecha

TGMD in nutshell

24060801.png

24051202.png

24061701.png

  • This algorithm should be linear a.k.a $O(N)$ in both time and space complexity, however the time required looks like it is reaching $O(NlogN)$.
Date Model counts Threads RAM Usage (TB, FP64) Time used (Hours, Xeon 8358 x2)
240607 117 16 1.214 14
240622 133 8 0.900 12.5
240830 192 8 1.446 41.5
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