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Camera Tilt down Undershot 弧降仰底

8248°
Camera Tilt down Undershot 弧降仰底
Created by
zakakki
on Civitai
by zakakki - Camera Tilt-down Undershot
Creator notes
🌟Struggling to Get That Perfect Low-Angle Shot? This model makes it effortless to capture extreme upward facial perspectives at low angles. Whether you’re training a LoRA or building a 3D model, this tool is the perfect solution. ------------------------------------------------------------------------------------------------------ ✨ I’ve already prepared a ready-to-use online workflow with the Model LoRA — no setup, no hassle. Just click below and you can start experimenting right away, free and in one click: Enter invitation code: rh-v1216. Sign up through this link to instantly get 1,000 RH coins, plus 100 extra coins every day just for logging in. That’s enough to create hundreds of high-quality images with zero cost 🎁 Your creative ideas deserve to come to life — anytime, anywhere. Start now! ------------------------------------------------------------------------------------------------------ 2025/11/14 Update Notice (Must Read): Due to several significant model updates and a better understanding of the workflow, I have optimized the latest workflow. It is recommended to run it on RunningHub. The new version ensures both speed and high quality. For example, this workflow achieves better results in just 5 steps compared to what used to take 10 steps three months ago. Key enhancements include: - High-noise phase: The newly added 1030 lightx LoRA is essential, improving prompt adherence and reducing convergence steps. - Low-noise phase: FastWAN combined with LightX21 allows convergence in just 2 steps. - Both high-noise and low-noise phases now use the best high-order samplers, achieving excellent results with a 3+2 step configuration. This approach can be applied to any workflow. 🎯 How to Use:(The parameter settings in the following old instructions are for reference only and may no longer be up to date.——2025/11/14) 1️⃣ Choose any subject photo shot from a horizontal or slightly above-horizontal perspective. 2️⃣ Load both the high-noise and low-noise models into your image-to-video workflow. (I tested high-noise strength between 0.4–1.0, which runs stably; low-noise works well around 0.45.) If you’re aiming for absolute consistency, use the following parameter in the image-to-video workflow. It will increase the runtime, but you’ll achieve the strongest character consistency in ComfyUI. At the same time, you can lower the LoRA strength for high-noise model to 0.65 or below to minimize its impact on facial consistency. In my tests, setting the LoRA strength to 0.5 doesn’t affect camera movement smoothness and improves facial consistency. Of course, if you want to maximize speed while maintaining good consistency, you can use the following sampler combinations. Among all the fastest sampler setups, it perform the best consistency. 3️⃣ Input the trigger word “(弧降仰底)” — a cinematic low-angle crane-like motion. 4️⃣ For more control, try prompt templates like these (replace the subject as needed): - “The camera starts moving forward from eye level, then tilts down vertically, shifting the perspective into a full low-angle shot. Finally, it approaches the ground, capturing a full-body close-up of the man from below.” - “The camera starts at eye level, then tilts vertically downward, moving the perspective into a complete low-angle view. At the end, it closes in on the chin, finishing with a dramatic low-angle facial close-up.” 💡 To achieve more precise shot control, you can specify that the chin or face appears alongside any other point where you’d like the camera to arrive at the end. This prevents the shot from focusing solely on the endpoint, allowing it to remain centered on the face throughout and linger at your designated positions. 🌟 还在为获取刁钻的低角度仰视镜头而发愁吗? 这个模型可以轻松捕捉人物极限仰视角度的面部素材。如果你有 LoRA 训练 或 3D 模型构建的需求,它将是再合适不过的选择。 🎯 使用方法: 1️⃣ 选择任意主体的水平或高于水平视角的照片。 2️⃣ 在图生视频 workflow 中加载 高噪模型 和 低噪模型(我测试过,高噪强度 0.4–1.0 稳定运行;低噪在 0.45 左右即可)。 当然,如果你想要以尽可能快的速度并保持较好的一致性,可以采用 以下这两种采样器组合,在所有的速度最快的采样器组合中,这两种采样器在一致性上表现最佳,ddim我没有测试太多,但它的效果也让我比较满意,或许它就是图生视频综合速度和一致性最好的采样器;euler_a则是我过去一段时间最常用的采样器,在所有的情况下,它都表现比较优异;er_sde能够表现出最优秀的复杂指令理解能力,但在一致性上欠缺一些,如果你对及其复杂的指令遵循和画面有需求可以采用它。 lora强度到0.65或者更低,以尽可能减少lora对于一致性的影响,在我的测试中lora强度设置成0.5不会影响运镜的流畅性,而且提高了面部一致性 3️⃣ 输入触发词 “(弧降仰底)” —— 一种类似升降机位的仰视运镜效果。 4️⃣ 为了更好地定向输出效果,可以参考以下提示词模板(可替换主语): - “镜头从视平线向前推进,然后垂直向下倾斜,逐渐转变为仰视全景,最终贴近地面,从下往上捕捉男人的全身特写。” - “镜头从视平线开始,逐渐垂直下倾,从正面转换为完整的仰视视角,最后贴近下巴,以仰视角度收尾,呈现面部特写。” 💡为了取得更好的镜头控制效果,你可以指定让下巴或脸与其他任意你希望相机停留在的位置一同出现,这样镜头就不会只聚焦于最后的位置,而是全程围绕面部为中心并停留在你想要它停留的位置。
Trigger words
弧降仰底.
The camera then descends vertically while gradually tilting upward, shifting into a low-angle view close to her chin, and finally presenting a low-angle close-up of her chin.
4,197 downloads · 265 likes on Civitai
SHA256
CEB1110531F2E8D3474BD4AC6A73FE8E6AA472CD289BEEB296B310F8CA5CBF9B
Ranking badge
Updated Oct 22, 2026
Camera Tilt down Undershot 弧降仰底 on ModelTrends.ai: #8 Hottest Wan LoRA
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Also ranked: #403 Hottest AI model · #11 Hottest Wan model
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Camera Tilt down Undershot 弧降仰底 Popularity Trend
Heat score, last 12 months
Heat score
8,248°
This week
▼
0.1%
8,250° then, 8,248° now
This month
▼
0.4%
8,255° then, 8,248° now
Past year
▲
26.7%
8,281° then, 8,248° now
Camera Tilt down Undershot 弧降仰底: Heat score, last 12 months7,000°7,422°7,843°8,265°8,687°Oct 2025Dec 2025Mar 2026May 2026Aug 2026Oct 20268,248°ModelTrends.ai
7,000°
Floor
The scale runs from 0° to 9,999°. Everything below 7,000° is kept for models no source reports on yet, which carry a stand-in number there so lists stay complete. 7,000° is where measured data begins: a model with real data but almost no downloads sits at the floor, and the measurements fill the degrees above it. The floor says nothing about the model; only the degrees above it do, and they are what separates one model from another.
+1,097°
Civitai downloads
4,197 downloads of this exact version on Civitai. Downloads are the heaviest ingredient and are counted on a log scale: ten times the downloads adds the same 300°, so a model with a million downloads is not a thousand times hotter than one with a thousand. The six download sources share that one term, split between them in proportion to their counts.
+364°
Likes
265 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.
+45°
Adoption rate
About 3 downloads a day, measured between two readings of the sources, never guessed from a lifetime average. Speed weighs a quarter of the download term, so a fresh surge shows without letting a one-day spike outrank years of use.
−258°
Age
−258° because the Wan weights came out in 2025. Every model inherits the age of the weights it is built on: 150° a year, up to 750°, and it keeps growing until then. Without it the top of the list would be 2022 and 2023 checkpoints on the strength of downloads that had years to pile up.
Show detailed breakdown
Every number on this site can be checked. This model's heat score is 8,248°, and here it is built one ingredient at a time, with the running total after each: the floor, the degrees each source adds, the bonus for the kind of model and what the age of its weights takes away. The colors are the bands of the chart above. The glossary at the end defines every term.
  1. 1
    Start at the floor.
    Why 7,000° and not zero: the scale runs from 0° to 9,999°, and the part below 7,000° is reserved for models no source reports on yet, which carry a stand-in number there so the lists stay complete and never outrank a model with data. 7,000° is where measured data begins. A model with real data but almost no downloads sits here; everything that follows is measurement, and the room above the floor holds ten tenfold steps in downloads at 300° each. The floor is the same for every model, so it decides nothing; the degrees above it do.
    7,000°
    running total
  2. 2
    Add the downloads.
    4,197 download-equivalents in all, from Civitai downloads. Ten times the downloads adds the same 300°, so size matters but never runs away with the score.
    +1,097°
    8,097°
    running total
  3. 3
    Add the likes.
    265 likes and thumbs up, at half the weight of a download.
    +364°
    8,461°
    running total
  4. 4
    Add the adoption rate.
    About 3 downloads a day right now, measured between two readings, at a quarter of the weight.
    +45°
    8,506°
    running total
  5. 5
    Take off the age.
    The Wan weights came out in 2025: 150° a year, up to 750°, growing until then.
    −258°
    8,248°
    running total
  6. =
    The heat score.
    Where this model stands on every list of this site. Nothing else adjusts it.
    8,248°
Glossary: the terms used here
Heat score
One number for how much a model is used and wanted right now, from 0° to 9,999°. Every list on this site that says hottest is sorted by it and nothing else.
Floor
The 7,000° every model with real data starts from. The scale runs from 0° to 9,999°; the part below the floor is reserved for stand-ins (models without data), so that a model with data always ranks above one without. The floor is the same for everyone and decides nothing; the degrees above it are the measurement.
Download-equivalents
Everything the score treats as a download, added up: downloads themselves, each torrent seeder as 1,000, each AI Horde image and each run on a generation site as one.
Log scale
Counting by tens, not by ones: going from 1,000 to 10,000 downloads adds the same degrees as going from 10,000 to 100,000. It keeps giants from crowding out everything else.
Likes
Thumbs up and likes from every source, worth half a download each on the log scale.
Adoption rate
How many downloads a day a model gets right now, from the difference between two readings of a source. A quarter of the weight of the download term.
Measured and estimated
Measured means two readings of a source exist and the difference is real. Estimated means only today's total is known and the past is spread over the model's life; the site says which one it is showing.
Seeder
Someone who keeps a copy of the weights online for others to download over a torrent, or a hosted mirror doing the same. Each one counts as 1,000 downloads.
AI Horde
A volunteer network that generates images for free on donated computers. The number of images it has made with a model is public, and each counts as one download.
Generation sites
Sites that host their own copies of a model and let people generate with it, such as PixAI, SeaArt and Yodayo. Their downloads count like Civitai's and each generation run as one download.
OpenRouter tokens
A text model served through an API, such as Claude or GPT, has no weights to download, so its usage is measured in tokens: the pieces of text it read and wrote through OpenRouter, a gateway many apps use, over the last 30 days. Every 10,000,000 tokens count as one download. Source: OpenRouter (openrouter.ai/rankings), CC BY 4.0.
Full model (checkpoint)
The weights themselves, the file that generates on its own. It gets a bonus because add-ons depend on it.
LoRA and embedding
Small add-on files that steer someone else's weights toward a style, a character or a concept. They cannot run alone.
Family and weights
The base a model is built on, such as SD 1.5, SDXL, Flux or Wan. Every model inherits the release date of its family's weights.
Age
Degrees taken off for how long ago the family's weights came out: 150° a year, up to 750°. It keeps old downloads that had years to pile up from freezing the top of the list.
Family boost
A small, bounded nudge for LoRAs of a family this site is pushing forward right now, always listed in the breakdown.
Stand-in score
A stable number below the floor given to a model no source reports on yet, so lists stay complete. It never ranks above a model with data.
New! (grace period)
A model less than 7 days old shows New! instead of a score and holds no place in the rankings. Its score is computed from day one, but a model one day old grows faster than anything, so without the wait the week's #1 would always be whatever came out yesterday rather than what held up for a week.
Trend
How a model's growth over a period compares with the typical model's growth over the same period. Faster than typical reads as a rise, slower as a fall.
Typical model
The middle of the catalog: half the models with a figure grew faster over the period, half slower.
How this model's popularity has moved against the rest of the catalog: its growth in downloads, likes and usage over each period, measured against the typical model's growth over the same period, with its heat score at the time. Above the typical growth reads as a rise, below it as a fall. The past is reconstructed from today's totals, the model's first day and its measured download speed where two readings exist; a model that did not exist at the start of a period shows n/a.
Example renders
Prompts and settings shared by the people who made these renders on Civitai. Pick a render to see how it was made.
Render by zakakki on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
656x976
Prompt
弧降仰底.The shot starts at eye level with the building, centered on its facade. The camera then descends vertically while gradually tilting upward. As the main gate opens automatically, the camera glides through the entrance into the building’s interior, finally coming to rest on the floor inside. From this low angle, it looks upward to capture the entirety of the grand, gold-and-jade interior structure.
Render by zakakki on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
496x880
Prompt
弧降仰底.The girl's face remained still.The camera then descends vertically while gradually tilting upward, shifting into a low-angle view close to her chin, and finally presenting a low-angle close-up of her side chin.
Render by zakakki on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
400x720
Prompt
弧降仰底.The girl's face remained still.The camera then descends vertically while gradually tilting upward, shifting into a low-angle view close to her chin, and finally presenting a low-angle close-up of her chin.
No prompt was shared with this render.
Render by tengusarkozy on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
736x960
Prompt
masterpiece, newest, absurdres, best quality, amazing quality, very aesthetic, ultra-detailed, highly detailed,(弧降仰底),The camera then descends vertically while gradually tilting upward, shifting into a low-angle view close to her chin, and finally presenting a low-angle close-up of her chin.
Render by xjtomb548 on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
960x1664
Prompt
The camera starts moving forward from eye level, then tilts vertically downward, transforming the perspective into a full low-angle shot. Finally, it gets close to the chest, capturing a close-up of the woman's face from below.
No prompt was shared with this render.
Render by CosmicSpores on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Sampler
DPM++ SDE
Steps
6
Guidance
1
Size
1920x1080
Prompt
弧降仰底. The camera then descends vertically while gradually tilting upward, shifting into a low-angle view close to her chin, and finally presenting a low-angle close-up of her chin. multiple aurora veils twisting and rippling like cascading waterfalls of light. Colors glow in deep sapphire, emerald, and violet, fading and flaring with subtle pulses like a heartbeat. The camera slowly zooms in, emphasizing depth and motion. The light ribbons flow fluidly across the frame, overlapping and intertwining, with a dynamic but natural shimmer. The sky is saturated with vibrant colors that shift gently as if painted with moving light. Cinematic, ethereal, dreamlike animation, with smooth motion throughout the frame.
Negative prompt
色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走, 过渡, 转场, 淡入淡出, 场景切换, 渐变, 影片切换, 画面跳跃, 闪烁, 抖动, 不连贯, 突变, 镜头切换
Run Locally
V2_high_Camera Tilt-down Undershot-弧降仰底_e48.safetensors
293 MB · SafeTensor
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