模型简介
模型特点
模型能力
使用案例
🚀 AstolfoMix-XL (255c / 215c / DGMLA-216 / TGMD-192 / TGMD / TSD / TIES-SOUP / Extended-FP64 / Baseline)
AstolfoMix-XL是一个文本到图像的模型,它整合了多种算法和模型进行融合,旨在生成高质量的图像。该项目基于Stable Diffusion技术,使用了多种合并算法,为图像生成提供了更多的可能性。
🚀 快速开始
本项目的预览由 README.md
的顶部会话提供,并通过 convert_sdxl_to_diffusers.py 将SDXL模型从A1111独立文件转换为diffuers。设置可能并非最优(无CFG / PAG / FreeU等)。一旦上传主模型文件,将立即替换预览扩散器。
✨ 主要特性
📦 安装指南
文档未提及安装步骤,故跳过此章节。
💻 使用示例
基础用法
文档未提及基础用法的代码示例,故跳过此章节。
高级用法
文档未提及高级用法的代码示例,故跳过此章节。
📚 详细文档
255c
- 从215c重新开始,增加了40个模型。实现了伪随机权重。
- 当前版本:
x255c-AstolfoMix-25022801-1458190.safetensors
- 推荐版本:"x255c"
- 推荐CFG:6.0 (CFG++, SEG 11.0, PAG = 1.0)
- 该版本不太能响应提示。建议作为基础模型进行训练。
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
-
当前版本:
x215c-AstolfoMix-24101101-6e545a3.safetensors
-
推荐版本:"x215c"
-
推荐CFG:6.0 (CFG++, SEG 11.0, PAG = 1.0)
-
提示词最少,甚至可以为空。
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
-
当前版本:
x215a-AstolfoMix-24101101-6e545a3.safetensors
-
推荐版本:"x215a"
-
推荐CFG:4.5 (with CHG = 1.0),3.0 (with PAG = 1.0)
-
提示词最少,甚至可以为空。
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
-
从TGMD扩展而来的版本(从117扩展到192)
-
当前版本:
x191a-AstolfoMix-24083001-3360d18.safetensors
-
推荐版本:"x191a"
-
推荐CFG:4.5 (with CHG = 1.0),3.0 (with PAG = 1.0)
-
提示词最少,甚至可以为空。
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)
-
对116个SDXL模型进行 TGMD合并,未过滤。TGMD是从 Model Stock 修改而来的算法。
-
当前版本:
x116a-AstolfoMix-24060702-01823a9.safetensors
-
推荐版本:"x116a"
-
推荐CFG:4.5 (with CHG = 1.0),3.0 (with PAG = 1.0)
-
提示词最少,甚至可以为空。
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)
-
当前版本:
x101a-AstolfoMix-24050903-4edc67c.safetensors
-
推荐版本:"x101a"
-
推荐CFG:4.5 (with CHG = 1.0),3.0 (with PAG = 1.0)
-
提示词最少,甚至可以为空。
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
-
对73个SDXL模型进行 TIES-SOUP,未过滤。TIES-SOUP是从 TIES合并 (NeurIPS 2023) 修改而来的算法。
-
当前版本:
x72a-AstolfoMix-240421-feefbf4.safetensors
-
推荐版本:"x72a"
-
推荐CFG:4.5 (with CHG = 1.0),3.0 (with PAG = 1.0)
-
提示词最少,甚至可以为空。
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
-
对52个UNETS + (61+42) 个CLIPS进行 均匀合并(从发现的70个模型中)。
-
当前版本:
x51-AstolfoMix-x60te0x41te1-e2e-240407-feefbf4.safetensors
-
推荐版本:"x51"
-
推荐CFG:4.5 (with CHG = 1.0),3.0 (with PAG = 1.0)
-
提示词最少。
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
-
对32个UNETS + (19+26) 个CLIPS进行 均匀合并(从21个模型中)。发现的模型数量:42。它是 Uniform Soup 的衍生版本。
-
当前版本:
x17-AstolfoMix-x13te0x14te1.safetensors
-
推荐版本:"x17" 以获得完整体验,或 "x11c" 以聚焦人物。
-
推荐CFG:4.5
-
提示词最少。
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
配方 / 模型选择日志 / 涉及的模型
- 查看 Github上的完整文章
轮次 | 算法 | 模型名称 | 原始数量 | UNET数量 | TE0数量 | TE1数量 | 配方 |
---|---|---|---|---|---|---|---|
01 | 均匀汤 | x17-AstolfoMix-x13te0x14te1.safetensors |
42 | 32 | 14 | 21 | json |
02 | 均匀汤 | x43-AstolfoMix-x22te0x31te1.safetensors |
50 | 44 | 22 | 31 | mecha |
03 | 均匀汤 | x45-AstolfoMix-x39te0x39te1-e2e-240222-60d0764.safetensors |
52 | 46 | 40 | 40 | mecha |
04 | 均匀汤 | 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: 从TGMD扩展而来 | x191a-AstolfoMix-24083001-3360d18.safetensors |
192 | 192 | 192 | 192 | mecha |
09 | DGMLA-216: 带GeoMedian和LA的Drop | x215a-AstolfoMix-24101101-6e545a3.safetensors |
216 | 216 | 216 | 216 | mecha |
10 | 215c: 来自费马点的排列 | x215c-AstolfoMix-24101101-6e545a3.safetensors |
216 | 216 | 216 | 216 | n/a |
11 | 255c: 从215c扩展而来 | x255c-AstolfoMix-25022801-1458190.safetensors |
256 | 256 | 256 | 256 | n/a |
DGMLA概述
- 该算法的空间复杂度应为线性,即O(N),时间复杂度为O(NlogN)。然而,逐层合并引入了一些常量,影响了实际体验。
日期 | 算法 | 模型数量 | 线程数 | 内存使用 (TB, FP64) | 使用时间 (小时, 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概述
- 查看 这篇文章
日期 | 算法 | 模型数量 | 线程数 | 内存使用 (TB, FP64) | 使用时间 (小时, Xeon 8358 x2) |
---|---|---|---|---|---|
241115 | 215c | 216 | 1 | < 0.1 | 9.0 |
250228 | 255c | 256 | 48 | < 0.1 | 1.33 |
📄 许可证
本项目采用 creativeml-openrail-m
许可证。

