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EN
Astolfomix XL
AstolfoMix-XL is a text-to-image generation model based on Stable Diffusion XL, integrating various algorithms and model fusion techniques to generate high-quality anime-style images.
Downloads 248
Release Time : 2/3/2024
Model Overview
This model fuses multiple SDXL models through various merging algorithms (such as DGMLA, TGMD, TIES-SOUP, etc.), supporting the generation of high-quality anime-style images, and is particularly good at generating content related to the Astolfo character.
Model Features
Multi-algorithm model fusion
Integrates multiple advanced model merging algorithms such as DGMLA, TGMD, TIES-SOUP
High-quality anime generation
Particularly good at generating high-quality anime-style images related to the Astolfo character
Multiple version options
Provides multiple versions such as 255c, 215c, DGMLA-216 to meet different needs
Low prompt requirement
Some versions can even generate high-quality images with minimal or no prompts
Model Capabilities
Anime-style image generation
Character-specific image generation
Low-prompt image generation
High-quality image output
Use Cases
Anime creation
Astolfo character generation
Generate Astolfo character images in various scenarios
Can generate high-quality and detailed character images
Scene generation
Generate various background scenes to match the character
Such as urban, festival, natural and other scenarios
Concept design
Character design
Used for anime character concept design
Quickly generate multiple character variations
đ AstolfoMix-XL (255c / 215c / DGMLA-216 / TGMD-192 / TGMD / TSD / TIES-SOUP / Extended-FP64 / Baseline)
- AstolfoMix-XL is an unsolved merge, even with experience on SD1 and SD2.
- For more details, see the full article on Github.
- Since the "Extended-FP64" version, the dedicated merger sd-mecha is used. It is the SD version of mergekit.
- The previews here are powered by the top session of
README.mdand converting the SDXL model from an A1111 standalone file into diffusers via convert_sdxl_to_diffusers.py. The settings may not be optimal (no CFG / PAG / FreeU etc). The preview diffuser will be replaced as soon as the main model file is uploaded.
đ Quick Start
This section provides an overview of the different versions of AstolfoMix-XL and their key features.
⨠Features
255c
- Redone from 215c with 40 more models. Pseudorandom weights achieved.
- Current version:
x255c-AstolfoMix-25022801-1458190.safetensors - Recommended version: "x255c"
- Recommended CFG: 6.0 (CFG++, SEG 11.0, PAG = 1.0)
- It does not respond well to prompts. Recommended to train as a base model.
# parameters
(car:0), [[mclaren]], (1boy:0), [astolfo]
Steps: 48, Sampler: DDIM CFG++, Schedule type: Automatic, CFG scale: 6, Seed: 3857800394, Size: 1344x768, Model hash: 516c1564c3, Model: x255c-AstolfoMix-25022801-1458190, VAE hash: 235745af8d, VAE: sdxl-vae-fp16-fix.vae.safetensors, Denoising strength: 0.7, Clip skip: 2, Hires upscale: 1.5, Hires upscaler: Latent, SEG Active: True, SEG Blur Sigma: 11, SEG Start Step: 0, SEG End Step: 2048, PAG Active: True, PAG SANF: True, PAG Scale: 1, PAG Start Step: 0, PAG End Step: 2048, Version: v1.10.1
215c
- Partial Git-Rebasin + DGMLA
- Additional script, Additional merger
- Current version:
x215c-AstolfoMix-24101101-6e545a3.safetensors - Recommended version: "x215c"
- Recommended CFG: 6.0 (CFG++, SEG 11.0, PAG = 1.0)
- Prompts can be minimal or even empty.
# parameters
(car:0), [[AMG F1 W11]], (1boy:0), [astolfo]
Steps: 48, Sampler: DDIM CFG++, Schedule type: Automatic, CFG scale: 6, Seed: 2004174654, Size: 1344x768, Model hash: b31b84ff71, Model: x215c-AstolfoMix-24101101-6e545a3, VAE hash: 235745af8d, VAE: sdxl-vae-fp16-fix.vae.safetensors, Denoising strength: 0.7, Clip skip: 2, Hires upscale: 1.5, Hires upscaler: Latent, SEG Active: True, SEG Blur Sigma: 11, SEG Start Step: 0, SEG End Step: 2048, PAG Active: True, PAG SANF: True, PAG Scale: 1, PAG Start Step: 0, PAG End Step: 2048, Version: v1.10.1
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)
- Prompts can be minimal or even empty.
# 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)
- Prompts can be minimal or even empty.
# 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)
- Prompts can be minimal or even empty.
# 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)
- Prompts can be minimal or even empty.
# 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)
- Prompts can be minimal or even empty.
# 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)
- Prompts can be minimal.
# 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 a full experience, or "x11c" for a human-focused experience.
- Recommended CFG: 4.5
- Prompts can be minimal.
# 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
đ Documentation
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 |
| 10 | 215c: Permutation from the Fermat Point | x215c-AstolfoMix-24101101-6e545a3.safetensors |
216 | 216 | 216 | 216 | n/a |
| 11 | 255c: Scale up from 215c | x255c-AstolfoMix-25022801-1458190.safetensors |
256 | 256 | 256 | 256 | n/a |
DGMLA in nutshell
- This algorithm should be linear a.k.a O(N) in space, and O(NlogN) in time complexity. However, layerwise merging introduces some constants that skew the actual experience.
| Date | Algo | Model counts | Threads | RAM Usage (TB, FP64) | Time used (Hours, Xeon 8358 x2) |
|---|---|---|---|---|---|
| 240607 | TGMD | 117 | 16 | 1.214 | 14.0 |
| 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 |
| 250228 | DGMLA | 256 | 24 | 2.600 | 39.0 |
215c in nutshell
- See this article
| Date | Algo | Model counts | Threads | RAM Usage (TB, FP64) | Time used (Hours, Xeon 8358 x2) |
|---|---|---|---|---|---|
| 241115 | 215c | 216 | 1 | < 0.1 | 9.0 |
| 250228 | 255c | 256 | 48 | < 0.1 | 1.33 |
đ License
This project is licensed under the creativeml-openrail-m license.
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