Product Design (Elegant minimalism eddiemauro) LORA
8097°
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图像和视频编辑器:在同一页面渲染、编辑、放大等。
Civitai 网页
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在Civitai官网生成;每张图片用Buzz积分支付。
本地应用
需设置
如果你的电脑硬件够好,可以安装本地程序。
ModelDuel 网页
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一次在多达50个检查点/基础模型上生成相同的提示。
创作者说明
Before to use
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You have to know how works Stable Diffusion. I recommend using Automatic1111 like an interface to launch the model.
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This is a model trained on SD 1.5 model, so you have to consider that it is not perfect. I have to make so much testing before to arrive to a stable generation. I will enhance the model when a better base model arrives (like SD XL new one).
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This is a LORA model, so it is recommended to use like an extension of a Checkpoint. I recommend you to use realistic dataset models.
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I recommend you to follow me on my instagram account, where I will explain about AI image generation:
Intro
PRODUCT DESIGN (Elegant minimalism-eddiemauro) LORA: Hi, I’m a product and car designer, and I’m so excited to test with AI, I think is a good tool for designing. This tool (Lora) is so useful for the design process (shapes-ideas generation), but more than that it helps so much to refine aesthetically. Also, you can turn sketch and 3D schemes into render style. I created a basic Lora and tested it with so many kinds of checkpoints, and the result was a different type of "minimalism". The style is more aggressive and elegant (taken from Szechuan), but it preserves the minimalism style. Furthermore, the colors tend to be darker and opaque.
If you want to support my work and help me to upload more models (with better quality), you can do it by entering here and donating, I would greatly appreciate it:
Installation
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I use Automatic1111, the best UI for Stable Diffusion image generation, so I recommend you to install locally or use it online with some Colab or other hosting. You can find online instructions or videos to do that. If you are going to install locally, you can and I recommend you to have at least a 6-8 Gb of VRAM Graphic Card (nvidia) to have a stable interface and launch with “Microsoft Edge” because you will have problems on “Google Chrome”. Try also to install “medvram” or “lowvram” options besides “xformers” (search online how to).
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This is a Lora model. You can how to install it. It is just to download a file and put it inside Lora file models. The Lora file extension is “.safetensor”, and mostly the size is lower than a Checkpoint (that could be more than a gigabit).
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You have to install also a Checkpoint model to use with, select one focused on realism visualization or 3D/render aspect.
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Please for image creation you have to follow all my recommendations, if you don't, it is impossible to generate a good image quality. Also, you have to consider that from today AI image generation is not so consistent and perfect, you have to invest time to get it and make plenty of tests.
Recommendations for image generation
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Checkpoint best models: SD 1.5 based models. It is mandatory to use with a checkpoint called or , so download first, install and load inside SD UI.
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Activation token/caption: Inside prompt space, the first word has to be: “emauromin”or “emauromin style” to activate the style. It is mandatory, if you don't do it, it will not work properly.
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Another recommended prompting: Inside prompt you can use those words that will enhance the image generation: in the positive space, “futuristic, finely detailed, purism, ue 5, a computer rendering, minimalism, octane render, 4k”; in the negative space: “(worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), cropped, text, jpeg artifacts, signature, watermark, username, sketch, cartoon, drawing, anime, duplicate, blurry, semi-realistic, out of frame, ugly, deformed”. You can also watch the image metadata of example images here and simulate the prompt.
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Textual inversion/embedding or Lora tool recommended: I consider that “EasyNegative” is one best of textual inversion for negative prompt space, you should use it. and install it, putting the file inside “embeddings”. You can use it also “Detail Tweaker” to even reduce the details of the image, for that, you have to , install like a Lora and use it inside positive prompt with a value of “-0.5”. Use it when you realize the checkpoint used has so many details, but not when you see that minimalism is on it. This can change the shape of objects considerably.
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Lora's weight: I'm trying to enhance the model, for now, this model works fine from 0.7 to 1, the most you increase the value, minimalism is higher. Sometimes the values 0.8-0.9, adapt better than 1.
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VAE: This depends on what checkpoint are you using. Mostly it is recommended to use the “vae-ft-mse-840000-ema-pruned” Stable Diffusion standard.
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Clip Skip: It was trained on 2, so use 2.
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Steps and CFG: It is recommended to use Steps from “20-40” and CFG scale from “6-8”, the ideal is: steps 30, CFG 7. For next models, those values could change.
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Sampler: I use mostly “EulerA”, “DPM++SDE Karras” or “DPM++2S a”. Euler tends to be simpler and more creative. Make experimentation with other samplers if you like.
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Batch: In txt2img try to put a value of 4 to generate more than 1 image and watch the generations. If you have a good graphic card, you can use “Batch size”, this will create at same time 4 images, increasing generation time; but if your computer cannot handle this, change to “Batch count” that will create 4 images in a row (not a same time), but generation time will be more.
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Image aspect: Try to use these dimensions: 512x512, 768x512, 512x768, but even you can experiment with different. Don't generate bigger images because the style could be lost, if you want to create a bigger image, use hires.fix in txt2img mode, img2img increase method or Ultimate SD Upscale script extension + ControlNet, or just upscaling with GAN models.
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Create bigger images: There are 4 different methods to create large images in Stable Diffusion, you can check online how to. For first method “txt2img hires.fix”, I recommend you to use upscale model called “4x-UltraSharp”, just “.pth” file, and then installing it, putting inside “ESRGAN” file. In hires.fix option
触发词
emauromin style
SHA256
3002FF124811B48001176D6B4072FA14A2A6F5843B52F3650C4429843E389F1B
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Updated Oct 22, 2026
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Also ranked: #86 Hottest Stable Diffusion 1.5 model
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Product Design (Elegant minimalism eddiemauro) LORA 热度趋势
热度分数,过去12个月
热度评分
8,097°
本周
▬
0.0%
8,099° 当时,8,097° 现在
本月
▼
0.2%
8,104° 当时,8,097° 现在
过去一年
▼
1.9%
8,181° 当时,8,097° 现在
7,000°
起点
评分范围是 0° 到 9,999°。低于 7,000° 的部分保留给还没有任何来源报告的模型,这些模型用替代数值填充,保证列表完整。7,000° 是有实际数据的起点:一个有真实数据但几乎没人下载的模型就在这里,后续的度数都是基于它的测量。起点本身不反映模型质量,只有起点以上的度数才区分不同模型。
+1,241°
Civitai 下载量
该版本在Civitai上有13,701次下载。下载是最重要的因素,按对数刻度计数:下载量增加十倍,热度增加300°,所以百万下载的模型不会比千次下载的热度高一千倍。六个下载来源共享该指标,按各自下载量比例分配。
+465°
点赞数
各来源累计点赞数为 1,260。点赞权重是下载量的一半,按同样的对数比例计算。
−609°
年龄
−609°,因为 SD15 权重发布于 2022。每个模型继承其权重的年龄:每年扣 150°,最多扣 750°,直到达到上限。没有这个扣减,排行榜前列会被 2022 和 2023 年的检查点占据,因为它们下载量积累了多年。
显示详细分解
本站上的每个数字都可以查证。这个模型的热度评分是 8,097°,这里一步步展示了它是如何组成的,每一步都有累计总分:起点、每个来源增加的度数、模型类型的加成以及权重年龄的扣减。颜色对应上方图表的区间。最后的词汇表解释了所有术语。
- 1从起点开始。为什么是 7,000° 而不是零:评分范围是 0° 到 9,999°,低于 7,000° 的部分保留给还没有任何来源报告的模型,这些模型用替代数值填充,保证列表完整且不会超过有数据的模型。7,000° 是有实际数据的起点。一个有真实数据但几乎没人下载的模型就在这里;后续的度数都是测量值,起点以上有十个十倍下载阶梯,每阶梯增加 300°。起点对所有模型一样,不影响排名;区分模型的是起点以上的度数。7,000°累计总数
- 2加上下载量。总共13,701个下载等价量,来自Civitai 下载量。下载量增加十倍,热度增加相同的300°,所以大小很重要,但不会让分数失控。+1,241°8,241°累计总数
- 3加上点赞数。1,260个点赞和竖起大拇指,权重是下载量的一半。+465°8,706°累计总数
- 4去除年龄。SD15权重发布于2022:每年扣除150°,最多扣除750°,直到达到最大值。−609°8,097°累计总数
- =热度得分。这个模型在本站所有榜单上的排名。没有其他因素会调整它。8,097°
术语表:这里用到的术语
- 热度得分
- 一个数字,表示模型当前的使用和需求程度,范围从0°到9,999°。本站所有标注为最热门的榜单都按这个分数排序,别无他物。
- 基准线
- 所有有真实数据的模型起始于7,000°。分数范围是0°到9,999°;基准线以下的部分保留给无数据的替代模型,这样有数据的模型总是排在无数据模型之上。基准线对所有人相同,不影响排名;超过基准线的度数才是实际测量值。
- 下载等价量
- 得分中当作下载计算的所有项目总和:下载本身,每个种子上传者算1,000,每个AI Horde图片和每次生成网站的运行算一个。
- 对数刻度
- 以十为单位计数,而不是以一为单位:从1,000到10,000下载增加的热度和从10,000到100,000增加的热度相同。这样可以防止巨头压倒一切。
- 点赞
- 来自所有来源的点赞和竖起大拇指,每个点赞在对数刻度上价值半个下载。
- 采用率
- 模型当前每天的下载次数,基于两次读数的差值。权重是下载项的四分之一。
- 测量与估算
- 测量表示有两个来源的读数,且差异是真实的。估算表示只知道今天的总数,过去的数据是根据模型的生命周期分配的;网站会说明显示的是哪种。
- 做种者
- 指那些在线保存权重副本供他人通过种子下载的人,或者提供同样服务的托管镜像。每个做种者相当于1000次下载。
- AI Horde
- 一个志愿者网络,在捐赠的电脑上免费生成图片。它用某个模型生成的图片数量是公开的,每张图片算作一次下载。
- 生成网站
- 托管自己模型副本并允许用户生成的站点,比如PixAI、SeaArt和Yodayo。它们的下载计数和Civitai一样,每次生成算一次下载。
- OpenRouter 令牌
- 通过API提供的文本模型,如Claude或GPT,没有权重需要下载,因此其使用量以令牌计量:过去30天内通过OpenRouter(一种许多应用使用的网关)读取和生成的文本片段。每10,000,000个令牌计为一次下载。来源:OpenRouter (openrouter.ai/rankings),CC BY 4.0。
- 完整模型(检查点)
- 权重文件本身,是能独立生成的文件。它会获得额外加分,因为附加组件依赖它。
- LoRA和嵌入
- 小型附加文件,用来引导别人的权重朝向某种风格、角色或概念。它们不能单独运行。
- 家族与权重
- 模型构建所基于的基础,比如SD 1.5、SDXL、Flux或Wan。每个模型继承其家族权重的发布日期。
- 年龄
- 根据家族权重发布多久,扣除的度数:每年150°,最多750°。它保留了那些积累了多年下载量的老模型,防止它们被挤出榜单顶部。
- 家族加成
- 对当前网站重点推广的某个家族的LoRA给予的小幅度限制性加分,总是在分数细目中列出。
- 替代分数
- 给还没有任何来源报告的模型一个稳定的最低分数,这样榜单才完整。它永远不会高于有数据的模型。
- 新模型!(宽限期)
- 不到7天的新模型显示“新模型!”而非分数,且不参与排名。其分数从第一天开始计算,但一天大的模型增长最快,若不等待,周榜#1总是昨天刚发布的模型,而非持续一周的。
- 趋势
- 模型在某段时间内的增长与同一时间段内典型模型增长的对比。比典型快表示上升,比典型慢表示下降。
- 典型模型
- 目录的中间值:一半有数据的模型增长比它快,一半比它慢。
这个模型的受欢迎程度相对于整个目录的变化:它在每个时间段内下载量、点赞和使用量的增长,和同一时间段内典型模型的增长相比,以及当时的热度分数。高于典型增长表示上升,低于则表示下降。过去的数据是从今天的总数、模型的第一天和测量的下载速度(如果有两次测量)推算出来的;如果模型在某个时间段开始时不存在,则显示为 n/a。
示例作品
以下提示词和参数由在 Civitai 上创作这些作品的人分享。选择一张作品查看它是如何生成的。
参数
采样器
Euler a
步数
30
引导强度
7
种子
3653215291
尺寸
768x768
Clip skip
2
提示词
emauromin style, futuristic cubes, finely detailed, purism, ue 5, a computer rendering, minimalism, octane render, 4k <lora:eddiemauroLora2 (Dark):0.3> <lora:2.5D:0.9>
负面提示词
(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, bad_prompt, bad_prompt2, ((monochrome)), ((grayscale)), cropped, text, jpeg artifacts, signature, watermark, username, EasyNegative,sketch, cartoon, drawing, anime, duplicate, blurry, semi-realistic, out of frame, worst quality, ugly, low quality, deformed, multiple objetcs
参数
采样器
Euler a
步数
30
引导强度
7
种子
737757255
尺寸
1024x1216
Clip skip
2
提示词
emauromin style, futuristic kettle, finely detailed, purism, ue 5, a computer rendering, minimalism, octane render, 4k <lora:eddiemauroLora2:0.9>
负面提示词
(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, bad_prompt, bad_prompt2, ((monochrome)), ((grayscale)), cropped, text, jpeg artifacts, signature, watermark, username, EasyNegative,sketch, cartoon, drawing, anime, duplicate, blurry, semi-realistic, out of frame, worst quality, ugly, low quality, deformed, multiple objects
参数
采样器
Euler a
步数
30
引导强度
7
种子
242557425
尺寸
1424x1024
Clip skip
2
提示词
emauromin style, futuristic vehicle, finely detailed, purism, ue 5, a computer rendering, minimalism, octane render, 4k <lora:eddiemauroLora2:0.8>
负面提示词
(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, bad_prompt, bad_prompt2, ((monochrome)), ((grayscale)), cropped, text, jpeg artifacts, signature, watermark, username, EasyNegative,sketch, cartoon, drawing, anime, duplicate, blurry, semi-realistic, out of frame, worst quality, ugly, low quality, deformed, multiple objects
参数
采样器
DPM++ SDE Karras
步数
30
引导强度
7
种子
3653215289
尺寸
1424x1024
Clip skip
2
提示词
emauromin style, futuristic vehicle, finely detailed, purism, ue 5, a computer rendering, minimalism, octane render, 4k <lora:eddiemauroLora2:0.8>
负面提示词
(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, bad_prompt, bad_prompt2, ((monochrome)), ((grayscale)), cropped, text, jpeg artifacts, signature, watermark, username, EasyNegative,sketch, cartoon, drawing, anime, duplicate, blurry, semi-realistic, out of frame, worst quality, ugly, low quality, deformed, multiple objetcs
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