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AstolfoMix-XL (DGMLA-216 / 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.

DGMLA-216

  • DGMLA Merge

  • Recipe, E2E merger.

  • Current version: x215a-AstolfoMix-24101101-6e545a3.safetensors

  • Recommended version: "x215a"

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

  • Prompt is minimal. Even empty.

241135-2123095857-2688-1536-3-256-20241013140426.jpg

parameters

[halloween], (astolfo:0.98), [[[[cemetery]]]]
Steps: 256, Sampler: Euler, Schedule type: Automatic, CFG scale: 3, Seed: 2123095857, Size: 1344x768, Model hash: bdb9f136b6, Model: x215a-AstolfoMix-24101101-6e545a3, 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 SANF: True, PAG Scale: 1, PAG Start Step: 0, PAG End Step: 150, Version: v1.10.1

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
09 DGMLA-216: Drop w/ GeoMedian and LA x215a-AstolfoMix-24101101-6e545a3.safetensors 216 216 216 216 mecha

DGMLA in nutshell

24101502.png

  • This algorithm should be linear a.k.a O(N) in space, and O(NlogN) in time complexity. However layerwise merging introduce some constants skewing the actual experience.
Date Algo Model counts Threads RAM Usage (TB, FP64) Time used (Hours, Xeon 8358 x2)
240607 TGMD 117 16 1.214 14
240622 TGMD 133 8 < 1.0 12.5
240830 TGMD 192 8 1.446 41.5
241002 DGMLA 192 16 1.452 39.1
241006 DGMLA 20 48 0.358 2.33
241011 DGMLA 216 48 3.500 36.2
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