Model
.ai
追踪开放 AI 模型
创建者
ndimensional
(Civitai)
NatViS (Natural Vision) is a photorealistic full-parameter fine-tune of SDXL that uses Natural Language prompting to generate high quality SFW/NSFW images. Trained on 1M+ image-caption pairs on a dataset that’s been expanded and refined for over a year. Note: NatViS is still being trained. V1 (epoch 68) wrapped up training on July 19th, 2024.
创作者说明
Please Read Description NatViS (Natural Vision) is a photorealistic full-parameter fine-tune of SDXL that uses Natural Language prompting to generate high quality SFW/NSFW images. Trained on 1M+ image-caption pairs on a dataset that’s been expanded and refined for over a year. v3.0 is being rebuilt from the ground up to expand the knowledge domain and improve text-image alignment across various prompting styles. Curent v3.0 Status: Data Procurement As of right now I can only work on the update in my spare time so there's no planned release date. Please message me on Ko-Fi (bellow) to give feedback and suggestions. Email and public discord will be up soon! Buy me a coffee ❤ I’ve never been a fan of e-begging, however SDXL fine-tunes at this scale are becoming expensive to tune. So I will begrudgingly ask; if you like what I do and would like to support my models. Consider donating on 💗 I will be begin posting updates, answering questions, taking feedback, and releasing early access (NOT EXCLUSIVE) models to supporters. All donations will be used to fund the creation of new Stable Diffusion fine-tunes and open-source AI tools. Changelog ============ 11-24-24 NatViS v2.7 Hyper 4Step and link for 4step Lightning (🤗) - Uploaded 4step Hyper varient of NatViS v2.7. See About this version for more info. - Lightning: 4step Lightning varient of v2.7 can be found for the time being. 8step Lightning will be uploaded within a day of writing. - Note: Sample images are limited because of time constraints. ============ 11-21-24 NatViS v2.7 Hyper 8step - Released 8step varient of NatViS v2.7 with consistant CFG. See About this version for more info. 11-18-24 NatViS v2.7 - Due to time constraints, pre-release changelog can be viewed for the time being. - Note: I was bored generating the same sample images over-and-over again and decided to spice things up with some new prompts. Prompts from previous versions will work with v2.7. When I have time, I'll upload a separate gallery for images generated with the old prompts. ============ 10-26-24 NatViS v2.5 Lightning 4step (Not Recommended!): - Uploaded 4step Lightning version of NatViS 2.5 - ONLY USE IF NEEDED ============ 10-25-24 NatViS v2.5 Lightning 8step - Released 8step Lightning version of NatViS v2.5. Read About this version - Note: Unlike my previous 8step lightning releases; this version is a simple merge with the SDXL Lightning LoRA. I did this due to requests for low CFG. - Sample images may not be the best representation of the model as a result of me not fully understanding the quirks of Lightning. - I will be releasing the FULL CFG 8step lightning version as well, since it appears to preserve more of the fine-grained features from the fine-tune. ============ 10_23_24 NatViS v2.5 What's New? - Uploaded NatViS v2.5 - Updates to text-encoder(s) to reintroduce tag/booru-style prompting capabilities that were broken in v2.0 - Subset of data included from new (improved) dataset, specifically image-caption pairs with short n' punchy captions. - Info on new dataset (for future models/update): Includes more variation of caption styles and all automation is manually verified by a human (i.e., me). - Introduced more analog photography and classic cinematic film image data to further the push for more authentic realism. What's Next? - General: Review SD3.5 license to see if it's worth touching. - It's not terrible. Will start research into models architecture for fine-tuning/LoRA. - General: Release Anti-Pony Alpha model (Anime, Digital Illustrations). - In advance, it's not nearly as robust as Pony. This is a test to see if there's enough interest in the idea to pursue crowd funding for training. - Trained with character knowledge and quality in-mind, novel booru+ tagging system & natural language prompting, multiple styles/mediums, artist knowledge, no silly quality ranking tags, SDXL compatible (i.e., not overfit and broken) - More info will come out soon. - NatViS: Release of Lightning variants for NatViS v2.5. - Done more effectively this time. - NatViS: Finally getting around to creating, and releasing a PDF guide. - NatViS: Continue fine-tuning of v3.0. ============ 10_2_24 NatViS v2.0 Lightning 4step - Uploaded 4step lightning model for v2.0 ============ 10-1-24 NatViS v2.0 Lightning 8step - Uploaded 8step lightning models for v2.0 ============ 9-25-24 NatViS v2.0 What's New? - Prompting: This update focuses primarily on the text-encoders. Natural language prompting capabilities have been improved to follow less-strict formats and relies less on using specific tokens. - Ethnicity and Demonym: Increased accuracy of phenotypes for various ethnicities and demonyms. Not just limited to body structure, but also includes clothing, hair, landscapes, ect.. See for small examples. - Camera EXIF: Inclusion of Camera EXIF data for popular modern and analog cameras that can be prompted. Includes, Camera Name, Focal Length, f-stop, ISO, shutter speed, lens type. Also includes attachments such as ND filters, polarizers. - Analog: Improvements to analog and vintage photograph generations. - Lighting and shadow: Prompt how light (or thereof) interacts with objects/subjects in the scene. Amongst other general lighting related modifiers. More info soon. - Skin Textures: Small improvements to the detail of skin textures with less or no explicit token related to skin detail. - Implementation of Pseudo Instruction: This will require a more lengthy write-up. - Better male anatomy. - Lesbians. What's Next? - Lightning models will be released within the coming days. - Full PDF guide and documentation within the next week. - Info on v3.0 within the next month. 8/4/24 NatViS v1.0 Lightning 4step - Uploaded 4step lightning version of v1.0 (See About this version for more info). ============ 8/3/24 NatViS v1.0 Lightning 8step - Uploaded 8step lightning version of v1.0 (See About this version for more
Civitai 上 6,911 次下载 · 461 个赞
SHA256
0CDC1630BFC730F523213769164831B54ACCD2060691A6435D4AB97766521D52
NatViS: Natural Vision 热度趋势
热度分数,过去12个月
热度评分
8,219°
本周
▼
0.6%
8,222° 当时,8,219° 现在
本月
▼
2.4%
8,230° 当时,8,219° 现在
过去一年
▼
28.8%
8,365° 当时,8,219° 现在
NatViS: Natural Vision: 热度分数,过去12个月7,000°7,480°7,961°8,441°8,922°Oct 2025Jan 2026Mar 2026May 2026Aug 2026Oct 20268,219°ModelTrends.ai
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。
+1,158°
Civitai 下载量
该版本在Civitai上有6,911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。
+400°
点赞数
各来源累计点赞数为 461。点赞权重是下载量的一半,按同样的对数比例计算。
+8°
采用率
每天大约 0 次下载,基于两次来源读取间的测量,不是用历史平均估算。下载速度权重是下载项的四分之一,这样能反映新热度,但不会让一天的峰值超过多年累计。
+150°
完整模型
+150°,因为这是完整模型:一个检查点,权重本身。LoRA 或嵌入是附加在别人权重上的,不会超过同等流行度的检查点。
−497°
年龄
−497°,因为 SDXL 权重发布于 2023。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 8,219°,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. 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. 2
    加上下载量。
    总共6,911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。
    +1,158°
    8,158°
    累计总数
  3. 3
    加上点赞数。
    461个点赞和竖起大拇指,权重是下载量的一半。
    +400°
    8,558°
    累计总数
  4. 4
    增加采用率。
    现在大约每天0次下载,基于两次读数的差值,权重是四分之一。
    +8°
    8,566°
    累计总数
  5. 5
    完整模型的额外加分。
    检查点包含权重本身;附加组件不会超过同等受欢迎度的完整模型。
    +150°
    8,716°
    累计总数
  6. 6
    去除年龄。
    SDXL权重发布于2023:每年扣除150°,最多扣除750°,直到达到最大值。
    −497°
    8,219°
    累计总数
  7. =
    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。
    8,219°
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
_
步数
1
尺寸
832x1216
提示词
cinematic film still Blame, a driving force in darkness, taking human form, mesmerizing with a like innocence and bravery, pushing through a giant mech, surrounded by an array of eerie machines and gears, setting off alarms, replete with gruesome and macabre imagery, leaving a chilling and imposing stage where the mechanical chaos takes over, foreboding on the horizon, creating a sense of dread and anticipation in the scene. . shallow depth of field, vignette, highly detailed, high budget, cinemascope, moody, epic, gorgeous<lora:dmd2_sdxl_4step_lora_fp16.safetensors:1.0:1.0>
参数
采样器
DPM++ 2M SDE Karras
步数
50
引导强度
6
种子
3864763204
尺寸
1365x768
提示词
flux-style, the anthropomorphic multi-coloured octopus (surrounded by smoldering servers:1.3) reaching out in every direction, desperate look, wearing an overall, wearing a base cap, ("CIVITAI":1.3) sign on the wall, in the data center, subtitle ("maintenance ongoing":1.3), dutch-angle shot, realistic photograph, pin sharp photography, best quality, masterpiece, extremely detailed, 8K <lora:Flux-style-xl-lora:0.25> <lora:add-detail-xl:2>
负面提示词
blur, crop, badly drawn face, deformed face, cloned face, fused faces, badly drawn eyes, deformed eyes, dark eyes, sunglasses, logo, text, watermark, label, banner, web address, artist name, patreon username, censored, toy, figurine, wrong colour, image noise
这张作品没有分享提示词。
参数
采样器
DPM++ 2M SDE
步数
55
引导强度
7
种子
41656392
尺寸
1344x768
提示词
A stunning cinematic film still of two beautiful lesbian woman kissing. The woman on the right has flowing blonde hair and large ample breasts. The woman on the left has short red hair and small breasts. Both women are clothed and have pale skin. The scene is erotic, romantic, and passionate.
负面提示词
loli, child, low quality, face asymmetry, eyes asymmetry, deformed eyes, cgi, plastic, watermark, hairy legs, implants, foreskin, uncut
参数
采样器
DPM++ 2M SDE Karras
步数
50
引导强度
6
种子
2620081429
尺寸
1365x768
提示词
flux-style, a sign on the wall "under maintenance", three technician raccoons sitting on a pile of computer parts, drizzling sparks, scared expression, (shrugging:1.2), fixating the viewer, wearing an overall, wearing a "CIVITAI" helmet, in the data center, dutch angle shot, realistic photograph, pin sharp photography, best quality, masterpiece, extremely detailed, 8K <lora:Flux-style-xl-lora:0.25> <lora:add-detail-xl:2>
负面提示词
blur, crop, badly drawn face, deformed face, cloned face, fused faces, badly drawn eyes, deformed eyes, dark eyes, sunglasses, logo, text, watermark, label, web address, artist name, patreon username, censored, toy, figurine, wrong colour, image noise
参数
采样器
DPM++ 2M SDE
步数
55
引导强度
7
种子
3694733598
尺寸
1344x768
提示词
Cinematic photography, A beautiful ancient female elf accidently transported herself to 1990s New York city. She is wearing ornate elven attire, cleavage, and has elegant white hair and pointy ears. She looks confused and lost and is very out of place in her new environment. Time Square 1990 \(setting\), natural lighting, film grain, C-41 Process, the scene is from a move filmed in the 1990s. nostalgic.
负面提示词
loli, child, low quality, face asymmetry, eyes asymmetry, deformed eyes, cgi, plastic, watermark, hairy legs, implants, foreskin, uncut, fat
参数
采样器
DPM++ 2M SDE
步数
55
引导强度
7
种子
131979021
尺寸
1344x768
提示词
A timeless photo of a effortlessly beautiful South Korean woman wearing a white t-shirt, tied in knot, navel, and denim booty shorts, torn shorts. She's sitting inside an Internet Café, in Seoul. The image was taken in 1998. punk aesthetic, moody, beautiful eyes, film grain, natural lighting, pale skin, looking at viewer, old computers, CRT monitors
负面提示词
loli, child, low quality, face asymmetry, eyes asymmetry, deformed eyes, cgi, plastic, watermark, hairy legs, implants, foreskin, uncut, fat
参数
采样器
DPM++ 2M Karras
步数
25
引导强度
6.5
种子
731376471767225
尺寸
1344x768
提示词
HO scale Abstract DNA double helix structure on blue background with bokeh lights and copy space for your design, close-up view
负面提示词
ugly, blurry, bad quality, low quality, horror, watermark, text
本地运行
natvisNaturalVision_v10.safetensors
6.46 GB · SafeTensor · fp16 · full
sdxl_vae.safetensors
319 MB · SafeTensor
下载
下载由 Civitai 提供。部分创建者要求先登录 Civitai。