Model
.ai
追踪开放 AI 模型
创建者
humblemikey
(Civitai)
创作者说明
PixelWave FLUX.1-schnell 04 - Apache 2.0! Safetensor Files: GGUF Files: Links to Model also available at: and PixelWave FLUX.1 schnell version 04 is an aesthetic fine tune of FLUX.1-schnell. The training images were hand picked to ensure the model has a bias to eye catching images, with beautiful colors, textures and lighting. - Trained on the original schnell model, so Apache 2.0 license! - No special requirements to run. Supports FLUX LoRAs - Euler Normal, 8 steps. You can use more steps to improve finer details, but the output doesn't change much after 8 steps. Shout out to RunDiffusion Huge thank you to (co-creators of Juggernaut) for sponsoring the compute that made training this model possible! Figuring out how to train schnell without de-distilling the model required a lot of experimenting, and being able to utilize RunDiffusion's cloud compute made it a lot easier. For those needing API access for this model, we're partnering with I have made the FLUX.1-dev 04 version exclusive to RunDiffusion and Runware for the time being. When I release version 05 in future, I plan to release the dev 04 open weights. Grateful for their support in getting this model out there, please ! Training Training was done with kohya_ss/sd-scripts. You can find my fork of , which also contains changes to the sd-scripts submodule, make sure you clone both. Use the fine tuning tab. I found the best results with the pagedlion8bit optimizer which also could run on my 4090 GPU 24GB. I found other optimizers struggle to learn anything. I have frozen the time_in, vector_in and mod/modulation parameters. This stops the 'de-distillation'. I avoid training single blocks over 15. You can set which blocks to train in the FLUX section. LR 5e-6 trains fast, but you have to stop after a few thousand steps as it starts to corrupt blocks and slow down learning. You can then block merge with an earlier checkpoint, replacing the corrupt blocks, and then continue training further. Signs of corrupt blocks: paper texture over most images, loss of background details. Contact For business or commercial inquiries please reach out to us at . Licensing flux fine tunes. Customer training projects. Commercial AI development. The team can do it all! PixelWave Flux.1-dev 03 fine tuned! Safetensor Files: GGUF Files: Links to The 'diffusers' files are actually the Q8_0 and Q4_K_M GGUF versions. I fine tuned version 03 from base FLUX.1-dev for over 5 weeks on my 4090. It is able to do different art styles, photography, and anime. I used dpmpp 2m sgm uniform 30 steps for the showcase images. If you want a neater/cleaner output, try increasing the guidance. Also mentioning a style can help, so the model doesn't have to guess. I also recommend try adding the upscale latent by node, and scale the latent by 1.5, e.g. generating an image that is 1536x1536 instead of 1024x1024. PixelWave Flux.1-schnell 03 Safetensor Files: GGUF Files: I used dpmpp 2m sgm uniform 8 steps for the showcase images. You can start with 4 steps, but there are less errors with anatomy if you run with more steps. PixelWave Flux.1-dev 02 Safetensor Files: GGUF Files: Version 02 has greatly improved black and dark images, and more reliable outputs with fewer issues with hands. I recommend using dpmpp_2s_ancestral, beta, 14 steps. Or euler, simple, 20 steps. PixelWave 11 SDXL. A general purpose fine tuned model. Great for art and photo styles. I use 20 steps, DPM++ SDE, CFG 4 to 6 or 40 steps, 2M SDE Karras Accelerated Version - 5+ Steps, DPM++ SDE Karras, 2.5 CFG ⚡Recommend 1.5 Scale, with CFG 3. ⭐You don't need to use 'quality' terms such as 4K, 8K, masterpiece, high def, high quality, etc. Unless you want it, I recommend not using words such as 'vibrant, intense, bright, high contrast, neon, dramatic' for photographic styles if you a wanting a more natural look. This can cause images to look 'overcooked', but it's just the CLIP following your prompt. 🙂 If you do want vibrant, neon photos PixelWave will provide! The focus for version 10 was to train the CLIP models, which improves the reliability, ensures you can produce a wide variety of styles, and better at following prompts. Thanks to my friends who helped test: , , , , . No need for the refiner model. This model is not a mix of other models. I also created which contains a lot of useful nodes. You can install it through comfy manager.
Civitai 上 3,835 次下载 · 146 个赞
SHA256
4CE82A86FC6709ED8AFBC8BDC8444D31919C8FE7C70F415FCBD47068C3211192
Ranking badge
Updated Oct 22, 2026
ModelTrends.ai 上的 PixelWave SDXL 11:#78 Hottest Stable Diffusion XL 1.0 model
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Paste it into your Hugging Face card or Civitai description.
Also ranked: #481 Hottest AI model · #41 Hottest Stable Diffusion XL 1.0 base model
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PixelWave SDXL 11 热度趋势
热度分数,过去12个月
热度评分
8,200°
本周
▼
0.5%
8,203° 当时,8,200° 现在
本月
▼
2.2%
8,212° 当时,8,200° 现在
过去一年
▼
25.9%
8,338° 当时,8,200° 现在
PixelWave SDXL 11: 热度分数,过去12个月7,000°7,475°7,950°8,425°8,901°Oct 2025Dec 2025Mar 2026May 2026Aug 2026Oct 20268,200°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。
+607°
Civitai 下载量
该版本在Civitai上有3,835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。
+567°
生成网站
这个模型在 Yodayo 上的复制品有 3,652 次下载和生成运行。每次运行算作一次下载,下载量按 Civitai 规则计算,全部合并到下载项。
+352°
点赞数
各来源累计点赞数为 220。点赞权重是下载量的一半,按同样的对数比例计算。
+21°
采用率
每天大约 1 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 8,200°,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7,487个下载等价量,来自Civitai 下载量, 生成网站。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。
    +607° Civitai 下载量
    +567° 生成网站
    +1,174°
    8,174°
    累计总数
  3. 3
    加上点赞数。
    220个点赞和竖起大拇指,权重是下载量的一半。
    +352°
    8,526°
    累计总数
  4. 4
    增加采用率。
    现在大约每天1次下载,基于两次读数的差值,权重是四分之一。
    +21°
    8,547°
    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°
    8,697°
    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°
    8,200°
    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。
    8,200°
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
4
种子
3632628304
尺寸
832x1216
提示词
giallo aesthetics photo, depth map, encaustic. a folk music album cover art <lora:artfully_DEPTHMAP:0.6>, vivid color gel, dramatic shadows, fashion backdrop, deep reds and blues, gothic atmosphere, expressionist lighting, technicolor, dramatic shadow work, murder mystery, slasher, thriller, psychological horror, psychological thriller
负面提示词
natural lighting, realistic colors, documentary style, minimalist set, chibi, loli, child, kid, teen, teenager, tattoo, dirty, messy, nude
Render by humblemikey on
Civitai
·
Prompt on BunchaPrompts
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参数
采样器
dpmpp_2m
步数
30
引导强度
5
种子
1027298399748081
尺寸
896x1152
提示词
forest of coral fungus glowing in a gothic garden, backlit, low-key, highly detailed, high quality, 8k, moody atmosphere
负面提示词
photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, body out of frame, bad art, bad anatomy, 3d render, double, clones, twins, brothers, same face, repeated person, long neck, make up, ugly, animated, hat, poorly drawn, out of frame, text, watermark, signature, logo, split image, copyright, cartoon, desaturated
Render by chromesun on
Civitai
·
Prompt on BunchaPrompts
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参数
采样器
DPM++ 2M
步数
40
引导强度
7
种子
1967099363
尺寸
1024x1024
提示词
A damaged Surrealist painting, (peeling paint on sandpaper:1.2). A grotesque elderly ethereal female elf being a (indigo:0.5) Tiger in a decrepit mountain river, rapids. (Large patches of broken paint reveal a world of lemon). Intricate details. Victorian botanical. white-tinted, white wavy patterns. Symbolism.
负面提示词
(Vertical symmetry), (Horizontal symmetry), horror, nudity, naked, nude, Superman, Superwoman, Supergirl, USA flag, American flag
Render by humblemikey on
Civitai
·
Prompt on BunchaPrompts
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参数
采样器
dpmpp_2m
步数
30
引导强度
6
种子
1027298399746188
尺寸
896x1152
提示词
Realistic portrait photograph, contemporary style. Close-up of woman, Average height, sleek bob. Soft lighting creates a dramatic, moody ambiance with a dark, textured background. Detailed focus on her eyes. High-resolution image emphasizing texture and natural beauty.
负面提示词
photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, body out of frame, bad art, bad anatomy, 3d render, double, clones, twins, brothers, same face, repeated person, long neck, make up, ugly, animated, hat, poorly drawn, out of frame, text, watermark, signature, logo, split image, copyright, cartoon, desaturated
Render by bblink787 on
Civitai
·
Prompt on BunchaPrompts
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参数
采样器
DPM++ SDE Karras
步数
28
引导强度
2.4
种子
100416726572151
尺寸
1024x1536
提示词
breathtaking, professional, highly detailed, a giant lightbulb with a magical fairylight kingdom inside, tiltshift macro hypermaximalist detail
Render by humblemikey on
Civitai
·
Prompt on BunchaPrompts
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参数
采样器
dpmpp_2m
步数
30
引导强度
5
种子
1027298399748114
尺寸
896x1152
提示词
SYMMETRIC, baroque devilish queen of rot and decay skull, portrait, patina, face, close-up, portrait!!! deer skull. patina LIQUID GOLD, GLITTER, sculpture made of patina bronze and charcoal and high-tech robot panels!!!!. jellyfish phoenix head, nautilus, orchid, betta fish, intricate artwork by Tooth Wu and wlop and beeple. octane render, trending on artstation, greg rutkowski very coherent symmetrical artwork. cinematic, hyper realism, high
负面提示词
photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, body out of frame, bad art, bad anatomy, 3d render, double, clones, twins, brothers, same face, repeated person, long neck, make up, ugly, animated, hat, poorly drawn, out of frame, text, watermark, signature, logo, split image, copyright, cartoon, desaturated
Render by humblemikey on
Civitai
·
Prompt on BunchaPrompts
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参数
采样器
dpmpp_2m
步数
30
引导强度
6
种子
1027298399746199
尺寸
896x1152
提示词
Realistic portrait photograph, fantasy style. Close-up of a Garuda (Hindu Bird Creature), anthropomorphic hybrid creature. Soft lighting creates a dramatic, moody ambiance. Detailed focus on their eyes. High-resolution image emphasizing texture.
负面提示词
photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, body out of frame, bad art, bad anatomy, 3d render, double, clones, twins, brothers, same face, repeated person, long neck, make up, ugly, animated, hat, poorly drawn, out of frame, text, watermark, signature, logo, split image, copyright, cartoon, desaturated
Render by humblemikey on
Civitai
·
Prompt on BunchaPrompts
举报
参数
采样器
dpmpp_2m
步数
30
引导强度
6
种子
1027298399746247
尺寸
896x1152
提示词
Realistic portrait photograph, fantasy style. Close-up of a Inferno elemental spirit. Soft lighting creates a dramatic, moody ambiance. Detailed focus on their eyes. High-resolution image emphasizing texture.
负面提示词
photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, body out of frame, bad art, bad anatomy, 3d render, double, clones, twins, brothers, same face, repeated person, long neck, make up, ugly, animated, hat, poorly drawn, out of frame, text, watermark, signature, logo, split image, copyright, cartoon, desaturated
本地运行
pixelwave_sdxl11.safetensors
6.46 GB · SafeTensor · fp16 · full
下载由 Civitai 提供。部分创建者要求先登录 Civitai。
种子文件
pixelwave_flux1Dev03.safetensors
11.08 GB · FLUX.1-dev 03 · 0 个做种者 ·
CivitasBay
种子文件由做种者点对点共享;ModelTrends.ai不托管任何文件。请用BitTorrent客户端打开磁力链接,下载完成后核对文件校验和与列表中的一致。