快上车，趁还能玩：用这个 Skill 生成特斯拉车机涂装
最近折腾 2025 款焕新 Model Y 的车机自定义涂装，反复遇到图标倒置、侧面图案横着躺、面板被裁掉、PNG 超过 1 MB 等问题，干脆把这些经验整理成了一个可复用的 Agent Skill 。
GitHub：<albert-lv/tesla-wrap-workflow>
前段时间看到[社区在讨论国内自定义涂装后续可能受限]( s.v2ex.com)。我没查到 Tesla 官方统一停用时间，所以标题里的「快上车」就当一句提醒：如果你的车机现在还有入口、还能上传和应用，可以先玩一把，具体可用性以所在地区和车机版本为准。
这里的涂装指车机里 3D 车辆模型的皮肤。
这个 Skill 做什么
- 按车型、年份和具体版本选择 Tesla 官方 UV 模板；
- 分别检查前盖、左右侧和车尾的观看方向，避免「平铺图看着正，上车却倒了」；
- 检查门缝、轮拱、后视镜和细长面板，减少漏图、裁切和多余车标；
- 导出后检查 PNG 完整性、尺寸、单图 1 MB 限制，以及透明轮廓是否与模板一致。
仓库里有完整流程、提示词模板和两个只读校验脚本。它需要搭配具备生图能力、支持加载 Agent Skills 的工具使用。
怎么玩
把仓库作为完整 Skill 目录加载到所用工具里，可以直接给它这样的需求：
> 使用 tesla-wrap-workflow ，为 2025 款焕新 Model Y Premium 生成一张万圣节主题的车机自定义涂装。使用对应车型的官方 UV 模板，不加特斯拉车标，单张 PNG 不超过 1 MB 。分别检查前盖和左右侧图案上车后的方向、完整性、文件大小，并说明哪些项目还没有经过实际车机验证。
生成后下载最终 PNG 。对于仍支持该功能的车辆，按 [Tesla 官方说明]( teslamotors/custom-wraps)：
1. 支持的 Tesla App 中进入 Creations → Wrap → Upload 上传图片（官方说明要求 App 4.59.0 或以上）；也可以将 PNG 放进 U 盘根目录的 Wraps 文件夹。
2. 在车机的 玩具箱 → 喷漆车间（ Paint Shop ）→ Wraps 中选择并应用。
3. 转动预览，分别看前面、两侧和后面，确认图案朝向与接缝。
放两张示例
下面两张使用 Model Y (2025+) Premium 模板，均为 1024 × 1024 、无特斯拉车标，可以从仓库的 [examples 目录]( github.com/albert-lv/tesla-wrap-workflow/tree/mai…) 下载完整 PNG 。
青竹剑阵·碧玉灵光，约 726 KB：
午夜南瓜巡游·方向修订版，约 832 KB：
这两张的文件和模板透明轮廓检查已经通过，万圣节款也对照官方示例调整了图案朝向；尚未经过实际车机测试，不能把文件校验通过当作上车效果已验证。不同车型版本的模板不要混用。
README 默认英文，另有独立中文说明。欢迎带上车型、车机版本和实际预览效果来提 issue ，一起把方向和接缝这些坑补齐。
custom-wraps ⭐ 1.9k
Provides templates for designing custom wraps for Tesla vehicles, for designers and owners.
🔗 teslamotors/custom-wraps
#opensource t.co
2 views
Your Tesla Wrap Is Missing? Check These Four Things Before Downloading Another PNG
You picked a design, copied the file, and opened Paint Shop. The wrap is missing. Downloading another design is tempting, but it can repeat the same problem if the filename, folder, or vehicle template is wrong.
Start with one PNG and work through four checks: the vehicle template, the exported file, the transfer route, and the feature menu. That gives you a specific thing to fix at each stage.
This guide covers the digital vehicle visualization in Tesla Paint Shop. It does not install a physical vinyl wrap or change the vehicle's paint.
!Pink Tesla Model Y digital wrap with Hello Kitty graphics in a three-quarter 3D view.
Website gallery design preview. Design credited to melissa madsen. This image illustrates appearance; it is not evidence of a successful vehicle import.
1. Check which template the download uses
An attractive thumbnail cannot identify the panel map underneath it. Tesla's official custom-wrap repository lists separate Model Y templates, including Standard, Premium, and Performance versions for 2025+ vehicles, plus Model Y L.
Before editing or importing a download, record the template folder it was built from. A file described only as "Model Y wrap" needs a closer look if your vehicle uses a different listed layout. Matching image dimensions alone does not establish that the panel placement is correct.
Keep the selected official template's canvas dimensions. If artwork is misplaced after it appears in Paint Shop, revisit this template choice; a different USB folder will not fix the design's mapping.
2. Check the exported file, not its preview
Tesla's README specifies PNG format, a maximum file size of 1 MB, and a filename of no more than 30 characters using letters, numbers, underscores, dashes, or spaces.
- Export as PNG. Renaming a JPEG's extension does not convert it.
- Check the actual file size after export.
- Use a short name with permitted characters. A hypothetical example is pink-side.png.
- Preserve the chosen template's canvas instead of stretching an unrelated image to fit.
If the PNG is too large, optimize a copy and inspect the artwork again. Keep your editable source separately so that reducing file size does not become repeated editing of a flattened download.
3. Check the route you actually used
For the app route, Tesla documents version 4.59.0 or later and Creations > Wrap > Upload. Confirm that Creations is available in your app, then follow its displayed upload steps. The app version requirement does not by itself prove availability on every vehicle.
For USB, create a folder named exactly Wraps at the root of the drive and place the PNG directly inside it. An extra enclosing folder from an extracted download can leave the file in the wrong place.
Tesla lists exFAT, FAT32, MS-DOS FAT, ext3, and ext4 as supported drive formats. Its instructions say NTFS is not supported and advise against mixing wrap files with map or firmware updates. Inspect the existing format first; formatting erases a drive's contents.
The documented limits are up to ten custom wraps from the app and up to ten from USB. Diagnose with a single file before building a larger collection.
4. Separate a missing menu from a missing file
Tesla documents the in-car path as Toybox > Paint Shop > Wraps. If the Wraps feature is absent, changing a filename cannot establish compatibility. Check the vehicle's interface and current Tesla guidance.
If the menu is present but the file is absent, return to the PNG size, name, folder location, and transfer checks. If the file appears with misplaced artwork, return to the template. These observations point to different parts of the workflow.
For a longer walkthrough, keep the download and import checklist open while checking your own file.
Disclosure: Written by the team behind WrapLab3D, an independent design tool with no Tesla affiliation. This article adapts Tesla's published instructions, checked October 3, 2026. We have not tested these steps by importing a wrap into a vehicle; vehicle and regional feature availability were not independently verified.
Debugging Tesla Paint Shop UV placement with a labeled grid
A wrap PNG can decode correctly and still place a logo across a door seam or turn lettering sideways. File validation cannot tell you which part of a flat image lands on the hood.
A labeled UV grid is a simple diagnostic for that second problem. Replace the artwork temporarily with colored squares, coordinates and arrows. Look at the model preview, then adjust the actual artwork using what you observed.
Disclosure: I build Tesla Wrap AI. This article was prepared with AI assistance. The standalone canvas example below was tested in a browser; I have not validated this diagnostic on a physical vehicle. Gallery browsing, browser editing and PNG export on the product are free; optional AI generation uses credits.
!Four-by-four UV diagnostic grid, labeled A1 through D4 with coordinates and upward arrows
What the grid answers
Use a unique label for each cell, rather than an identical checkerboard. A uniform checkerboard shows distortion but makes it harder to tell which source region you are seeing.
The labels answer three different questions:
- Cell identifier: which source region is visible on a panel?
- Arrow direction: how is that region oriented in the preview?
- Cell boundary: where does the surface cross into an adjacent source region?
Coordinates here use the canvas convention: the origin is at the top left, x increases to the right, and y increases downward. An arrow pointing up in the PNG does not promise that it will point toward the front of a particular vehicle. Discovering that relationship is the point of the diagnostic.
Generate a grid with no dependencies
Create an HTML file with a canvas, a download button and a script. Everything is drawn locally; there is no upload or remote image dependency.
<canvas id="grid" aria-label="Labeled UV diagnostic grid"></canvas>
<button id="download">Download UV Grid.png</button>
<script src="grid.js"></script>
Put this in grid.js:
const canvas = document.querySelector('#grid');
const ctx = canvas.getContext('2d');
const size = 1024;
const cells = 4;
const step = size / cells;
canvas.width = canvas.height = size;
for (let row = 0; row < cells; row++) {
for (let col = 0; col < cells; col++) {
const x = col * step;
const y = row * step;
const id = row * cells + col;
ctx.fillStyle = `hsl(${id * 360 / 16} 65% 38%)`;
ctx.fillRect(x, y, step, step);
ctx.strokeStyle = '#fff';
ctx.lineWidth = 3;
ctx.strokeRect(x + 2, y + 2, step - 4, step - 4);
ctx.fillStyle = '#fff';
ctx.font = 'bold 40px monospace';
ctx.fillText(`${String.fromCharCode(65 + row)}${col + 1}`, x + 18, y + 60);
ctx.font = '20px monospace';
ctx.fillText(`x=${x} y=${y}`, x + 18, y + 94);
// A drawn arrow avoids depending on a special arrow font.
ctx.beginPath();
ctx.moveTo(x + 128, y + 220);
ctx.lineTo(x + 128, y + 132);
ctx.moveTo(x + 105, y + 155);
ctx.lineTo(x + 128, y + 132);
ctx.lineTo(x + 151, y + 155);
ctx.lineWidth = 8;
ctx.stroke();
}
}
document.querySelector('#download').addEventListener('click', () => {
canvas.toBlob(blob => {
if (!blob) return;
const url = URL.createObjectURL(blob);
const link = document.createElement('a');
link.href = url;
link.download = 'UV Grid.png';
document.body.append(link);
link.click();
link.remove();
setTimeout(() => URL.revokeObjectURL(url), 10000);
}, 'image/png');
});
Use it with the exact vehicle layout
Start from Tesla's official custom-wrap repository, which separates vehicle generations and variants. Do not infer compatibility just because two images share dimensions.
1. Select the exact model and variant in the preview workflow you are testing.
2. Keep the intended artwork as a separate working file. Use the grid temporarily as the preview texture; if your workflow needs a panel mask, apply the matching template mask to a copy of the grid.
3. Inspect both sides of the vehicle and several camera angles. Record which labels appear on the hood, doors and smaller panels. A screen-left panel is not necessarily the vehicle's left side.
4. Note rotated arrows, reversed labels and discontinuities. These are observations about this model and preview setup, not a universal panel map.
5. Restore the artwork, adjust it against the correct template, and inspect again. Hide diagnostic and template guides before the final export.
If the editor you are using does not support texture replacement or the exact model, use another suitable preview workflow. Do not assume that a preview on a nearby variant is equivalent.
For a working visual reference, the Tesla digital-wrap gallery is a starting point: choose a model-specific design, inspect its flat image and available preview, and compare the placement. My product is one implementation of the workflow, not the source of Tesla's file requirements.
What I checked, and what this does not prove
In the browser test, the example exported a 1024 × 1024 PNG named UV Grid.png, measuring 103,761 bytes. I checked its PNG signature, IHDR dimensions, chunk checksums and compressed image-data decompression. The exact byte count can vary by browser or rendering environment.
Those checks establish basic properties of that generated file. They do not establish a particular vehicle's UV compatibility, verify a 3D model's mapping, or prove that the file will import into a vehicle. This is an opaque diagnostic grid, not a finished design or an official template. Masking, transparency and the final artwork need their own review.
Check the current requirements in Tesla's repository before final export. A preview screenshot is also a different asset from the texture PNG: downloading the screenshot does not give you the underlying UV texture.
Keep the diagnostic separate from the artwork
I would keep the grid out of the final texture by storing it as a separate development asset, alongside a small record of the model and variant used for each observation. That makes a later preview-model change easier to investigate without overwriting someone's design.
The same technique applies to other UV-based editors. A clear coordinate reference helps separate “the image file is valid” from “the image is mapped where the designer intended.”
Building a privacy-first PNG checker for Tesla digital wraps
A convincing car render and a usable digital wrap are different deliverables. One is a picture of a vehicle; the other is a flat texture that must map onto particular body panels.
While building Tesla Wrap AI, that distinction became one of the most useful constraints in the workflow. This post explains a small browser-based companion tool: a local PNG preflight check, plus a prompt builder that makes panel placement explicit.
Disclosure: I build Tesla Wrap AI. The companion tools are free; AI generation on the main website uses credits. This article was prepared with AI assistance and checked against the companion implementation.
Start with the actual deliverable
Digital Paint Shop wraps change a vehicle visualization, not the physical paint or vinyl. A preview screenshot cannot substitute for the underlying wrap PNG.
A sensible workflow has three separate checks:
1. File checks: can the browser decode the image, and does the file satisfy basic format constraints?
2. Template checks: does the image use the correct UV layout for the exact vehicle generation and variant?
3. Visual checks: are the hood motif, door graphics and lettering where the designer intended?
Passing the first check says nothing definitive about the other two. Two square images can have identical dimensions and completely different panel maps.
Read the signature, not just the extension
An input with accept="image/png" helps people choose a file. It does not prove that the selected bytes represent a PNG. The companion checks the eight-byte PNG signature before attempting to decode the image:
async function hasPngSignature(file) {
const bytes = new Uint8Array(
await file.slice(0, 8).arrayBuffer()
);
const signature = [137, 80, 78, 71, 13, 10, 26, 10];
return signature.every((value, index) => bytes[index] === value);
}
This is a format preflight, not a comprehensive security validator. A matching signature does not establish that every chunk is valid. The browser still needs to decode the file, and a server receiving uploads needs its own validation.
The checker also reports dimensions, file size and the filename separately. That makes a failure actionable: “dimensions do not match” is more helpful than a single unexplained “invalid file.” The current constraints are linked to Tesla's published custom-wrap requirements, rather than treated as permanent assumptions.
Keep the image local
For this task, a server upload adds no value. A File object already exposes the file size and lets JavaScript read a small byte range. An object URL lets the browser decode and preview the selected image without sending its contents anywhere.
There are two easy lifecycle mistakes:
- Leaking object URLs: revoke the previous URL when replacing or removing a file.
- Displaying stale results: if someone chooses a second image while the first is decoding, the first callback can arrive late. Use a monotonically increasing selection counter and ignore callbacks from earlier selections.
The companion limits local decoding to a bounded file size, clears old validation rows when a new selection starts, and provides a visible remove action. It does not read the image's metadata to infer a vehicle model; that would create false confidence.
Give generation the right constraints
The prompt builder is deliberately simple. It combines the selected vehicle version, a visual direction and symmetry preference with a few layout instructions:
> Center the hood motif. Keep key artwork within panels, clear of seams; simplify small panels. Preserve the UV layout and canvas proportions.
It also asks for requested lettering to remain readable and never mirrored. These instructions are a starting point, not a guarantee. The real generation workflow still needs the correct template and visual inspection afterward. A text prompt alone cannot establish UV compatibility.
The generated prompt stays within the main editor's input limit. The Space does not run an image-generation model or silently consume credits; it links to the matching editor and asks the user to paste the prompt into the AI panel.
Try the companion
The Hugging Face Space contains the prompt builder and local PNG checker, with its static implementation visible in the Files tab. No personal image needs to leave the browser to run the checker.
For the full workflow, the digital-wrap gallery offers designs to inspect before opening a copy in the editor. Choose the exact model, inspect the flat texture and available 3D preview, then save the actual PNG.
The broader lesson applies beyond cars: validate the file, validate its coordinate system, and validate the rendered result as separate steps. Which part of that workflow would you want to automate next?
WAIT WHAT? THERE IS A DANK DOGE TESLA CAR WRAP?😭
THIS IS FUCKING HUGE
It's included in Tesla's OFFICIAL GITHUB REPOSITORY alongside custom vehicle wraps for its Paint Shop feature.
ELON REALLY PUT DANK DOGE INTO TESLA
FLYING DOGE ROADSTER
CHECK THE GITHUB
github.com/teslamotors/custom-wraps/blob/master/m… t.co
28 views
WAIT WHAT?
Tesla has a Valentine Wrap in their OFFICIAL github????
DEPLOYING THIS FROM THE MAIN VALENTINE DEV, 24MIL RUNNER
github.com/teslamotors/custom-wraps/blob/master/m…
53 views
WAIT WHAT? THERE IS A DANK DOGE TESLA CAR WRAP?😭
It's included in Tesla's OFFICIAL GITHUB REPOSITORY alongside custom vehicle wraps for its Paint Shop feature.
ELON REALLY PUT DANK DOGE INTO TESLA
FLYING DOGE ROADSTER
CHECK THE GITHUB
github.com/teslamotors/custom-wraps/blob/master/m… t.co
5 likes · 953 views
WAIT, TESLA LITERALLY ADDED DANK DOGE AS AN OFFICIAL CAR WRAP??? 😭
It's included in Tesla's OFFICIAL GITHUB REPOSITORY alongside custom vehicle wraps for its Paint Shop feature.
ELON REALLY PUT DANK DOGE INTO TESLA 💀
github.com/teslamotors/custom-wraps/blob/master/m… t.co
1 like · 1 repost · 52 views
Tesla Wrap Design: Does It Read in a Small Preview?
!Production WrapLab3D Model 3 editor with Kuromi flat layout and small 3D side preview
Zoom in far enough and almost any wrap has something interesting to look at. Zoom out, and the question gets harder: can you still tell what the design is trying to say?
Before adding another texture or tiny badge to a Tesla wrap design, look at the whole car in a small 3D preview. That quick change of scale can help you decide which details deserve more work. This is a composition check for digital vehicle visuals, not a test of printed vinyl or in-car compatibility.
Give the eye somewhere to land
Choose the element you want someone to notice first. It might be a character on the doors, a strong color split, or a stripe running along the side. Then ask whether the surrounding artwork helps that element stand out.
The screenshot above comes from the production WrapLab3D editor. It shows the existing kuromi gallery design on the Model 3 (2024+) Standard & Premium template. The flat layout fills most of the workspace; the smaller side preview puts two white character faces against the purple and black body. In that captured view, the faces are easier to distinguish than the darker background decoration.
That observation is limited to this browser rendering and angle. It doesn't tell us what every panel looks like or how the design would appear on a vehicle display. It does give us a useful question for our own work: which shape survives when the car gets small?
Compare the layout with the small car
Keep the template and preview visible together. Pick one recognizable feature in the flat artwork and find it on the rendered body. Check its position and orientation before spending time polishing the edges.
In this screenshot, the template separates the hood, side regions and other mapped pieces. Their arrangement on the canvas differs from their arrangement on the car. Treat each region as part of a surface map, rather than assuming that nearby shapes will meet in the preview.
If you're starting fresh, use the template guide to choose the vehicle variant first. A clear composition on the wrong layout is still the wrong starting point.
Edit one thing, then look again
When the main feature gets lost, try one change at a time. Increase its scale, reduce the contrast of a competing detail, or give it more open space. Return to a comparable view after each edit so you can judge the change itself.
For lettering, begin with whether the word can be read at the size you intend to show it. Decorative outlines can wait. For a repeating pattern, decide whether you want the individual motif or the overall rhythm to lead. Both can work; the useful choice depends on your brief.
These are design suggestions, not measured performance rules. We haven't run an A/B study showing that fewer details produce a better wrap.
Keep a record you can return to
Save the vehicle and template identifier with your design. Capture the views you actually inspect, and check additional angles separately. A good side view shouldn't stand in for an unseen rear or opposite side.
When the composition feels settled, review the exported file separately. Tesla's official custom-wrap repository is the source for vehicle templates and import requirements; a browser preview alone doesn't certify a successful import.
Ready to try the scale check? Open this Model 3 design in WrapLab3D, identify the first thing you notice, and use that as the starting point for your next composition.
Image source and scope
Production editor screenshot captured October 16, 2026, at 1920 × 937. Vehicle/template: model3-2024; gallery design: kuromi, credited to Joaquin Rodriguez Meana. Existing artwork loaded without modification. No replacement artwork was generated. Original artwork creation method was not independently verified. The image shows a digital preview, not a photograph, printed wrap or vehicle-import result. WrapLab3D publishes this article about its own tool.
Originally published by WrapLab3D: Read the original article.
Editorial disclosure: drafted with AI assistance and checked against the real editor screenshot; no vehicle import test was performed.
Mentions
快上车，趁还能玩：用这个 Skill 生成特斯拉车机涂装 最近折腾 2025 款焕新 Model Y 的车机自定义涂装，反复遇到图标倒置、侧面图案横着躺、面板被裁掉、PNG 超过 1 MB 等问题，干脆把这些经验整理成了一个可复用的 Agent Skill 。 GitHub：<albert-lv/tesla-wrap-workflow> 前段时间看到[社区在讨论国内自定义涂装后续可能受限]( s.v2ex.com)。我没查到 Tesla 官方统一停用时间，所以标题里的「快上车」就当一句提醒：如果你的车机现在还有入口、还能上传和应用，可以先玩一把，具体可用性以所在地区和车机版本为准。 这里的涂装指车机里 3D 车辆模型的皮肤。 这个 Skill 做什么 - 按车型、年份和具体版本选择 Tesla 官方 UV 模板； - 分别检查前盖、左右侧和车尾的观看方向，避免「平铺图看着正，上车却倒了」； - 检查门缝、轮拱、后视镜和细长面板，减少漏图、裁切和多余车标； - 导出后检查 PNG 完整性、尺寸、单图 1 MB 限制，以及透明轮廓是否与模板一致。 仓库里有完整流程、提示词模板和两个只读校验脚本。它需要搭配具备生图能力、支持加载 Agent Skills 的工具使用。 怎么玩 把仓库作为完整 Skill 目录加载到所用工具里，可以直接给它这样的需求： > 使用 tesla-wrap-workflow ，为 2025 款焕新 Model Y Premium 生成一张万圣节主题的车机自定义涂装。使用对应车型的官方 UV 模板，不加特斯拉车标，单张 PNG 不超过 1 MB 。分别检查前盖和左右侧图案上车后的方向、完整性、文件大小，并说明哪些项目还没有经过实际车机验证。 生成后下载最终 PNG 。对于仍支持该功能的车辆，按 [Tesla 官方说明]( teslamotors/custom-wraps)： 1. 支持的 Tesla App 中进入 Creations → Wrap → Upload 上传图片（官方说明要求 App 4.59.0 或以上）；也可以将 PNG 放进 U 盘根目录的 Wraps 文件夹。 2. 在车机的 玩具箱 → 喷漆车间（ Paint Shop ）→ Wraps 中选择并应用。 3. 转动预览，分别看前面、两侧和后面，确认图案朝向与接缝。 放两张示例 下面两张使用 Model Y (2025+) Premium 模板，均为 1024 × 1024 、无特斯拉车标，可以从仓库的 [examples 目录]( github.com/albert-lv/tesla-wrap-workflow/tree/mai…) 下载完整 PNG 。 青竹剑阵·碧玉灵光，约 726 KB：  午夜南瓜巡游·方向修订版，约 832 KB：  这两张的文件和模板透明轮廓检查已经通过，万圣节款也对照官方示例调整了图案朝向；尚未经过实际车机测试，不能把文件校验通过当作上车效果已验证。不同车型版本的模板不要混用。 README 默认英文，另有独立中文说明。欢迎带上车型、车机版本和实际预览效果来提 issue ，一起把方向和接缝这些坑补齐。
custom-wraps ⭐ 1.9k Provides templates for designing custom wraps for Tesla vehicles, for designers and owners. 🔗 teslamotors/custom-wraps #opensource t.co
Your Tesla Wrap Is Missing? Check These Four Things Before Downloading Another PNG You picked a design, copied the file, and opened Paint Shop. The wrap is missing. Downloading another design is tempting, but it can repeat the same problem if the filename, folder, or vehicle template is wrong. Start with one PNG and work through four checks: the vehicle template, the exported file, the transfer route, and the feature menu. That gives you a specific thing to fix at each stage. This guide covers the digital vehicle visualization in Tesla Paint Shop. It does not install a physical vinyl wrap or change the vehicle's paint. !Pink Tesla Model Y digital wrap with Hello Kitty graphics in a three-quarter 3D view. Website gallery design preview. Design credited to melissa madsen. This image illustrates appearance; it is not evidence of a successful vehicle import. 1. Check which template the download uses An attractive thumbnail cannot identify the panel map underneath it. Tesla's official custom-wrap repository lists separate Model Y templates, including Standard, Premium, and Performance versions for 2025+ vehicles, plus Model Y L. Before editing or importing a download, record the template folder it was built from. A file described only as "Model Y wrap" needs a closer look if your vehicle uses a different listed layout. Matching image dimensions alone does not establish that the panel placement is correct. Keep the selected official template's canvas dimensions. If artwork is misplaced after it appears in Paint Shop, revisit this template choice; a different USB folder will not fix the design's mapping. 2. Check the exported file, not its preview Tesla's README specifies PNG format, a maximum file size of 1 MB, and a filename of no more than 30 characters using letters, numbers, underscores, dashes, or spaces. - Export as PNG. Renaming a JPEG's extension does not convert it. - Check the actual file size after export. - Use a short name with permitted characters. A hypothetical example is pink-side.png. - Preserve the chosen template's canvas instead of stretching an unrelated image to fit. If the PNG is too large, optimize a copy and inspect the artwork again. Keep your editable source separately so that reducing file size does not become repeated editing of a flattened download. 3. Check the route you actually used For the app route, Tesla documents version 4.59.0 or later and Creations > Wrap > Upload. Confirm that Creations is available in your app, then follow its displayed upload steps. The app version requirement does not by itself prove availability on every vehicle. For USB, create a folder named exactly Wraps at the root of the drive and place the PNG directly inside it. An extra enclosing folder from an extracted download can leave the file in the wrong place. Tesla lists exFAT, FAT32, MS-DOS FAT, ext3, and ext4 as supported drive formats. Its instructions say NTFS is not supported and advise against mixing wrap files with map or firmware updates. Inspect the existing format first; formatting erases a drive's contents. The documented limits are up to ten custom wraps from the app and up to ten from USB. Diagnose with a single file before building a larger collection. 4. Separate a missing menu from a missing file Tesla documents the in-car path as Toybox > Paint Shop > Wraps. If the Wraps feature is absent, changing a filename cannot establish compatibility. Check the vehicle's interface and current Tesla guidance. If the menu is present but the file is absent, return to the PNG size, name, folder location, and transfer checks. If the file appears with misplaced artwork, return to the template. These observations point to different parts of the workflow. For a longer walkthrough, keep the download and import checklist open while checking your own file. Disclosure: Written by the team behind WrapLab3D, an independent design tool with no Tesla affiliation. This article adapts Tesla's published instructions, checked October 3, 2026. We have not tested these steps by importing a wrap into a vehicle; vehicle and regional feature availability were not independently verified.
Debugging Tesla Paint Shop UV placement with a labeled grid A wrap PNG can decode correctly and still place a logo across a door seam or turn lettering sideways. File validation cannot tell you which part of a flat image lands on the hood. A labeled UV grid is a simple diagnostic for that second problem. Replace the artwork temporarily with colored squares, coordinates and arrows. Look at the model preview, then adjust the actual artwork using what you observed. Disclosure: I build Tesla Wrap AI. This article was prepared with AI assistance. The standalone canvas example below was tested in a browser; I have not validated this diagnostic on a physical vehicle. Gallery browsing, browser editing and PNG export on the product are free; optional AI generation uses credits. !Four-by-four UV diagnostic grid, labeled A1 through D4 with coordinates and upward arrows What the grid answers Use a unique label for each cell, rather than an identical checkerboard. A uniform checkerboard shows distortion but makes it harder to tell which source region you are seeing. The labels answer three different questions: - Cell identifier: which source region is visible on a panel? - Arrow direction: how is that region oriented in the preview? - Cell boundary: where does the surface cross into an adjacent source region? Coordinates here use the canvas convention: the origin is at the top left, x increases to the right, and y increases downward. An arrow pointing up in the PNG does not promise that it will point toward the front of a particular vehicle. Discovering that relationship is the point of the diagnostic. Generate a grid with no dependencies Create an HTML file with a canvas, a download button and a script. Everything is drawn locally; there is no upload or remote image dependency. <canvas id="grid" aria-label="Labeled UV diagnostic grid"></canvas> <button id="download">Download UV Grid.png</button> <script src="grid.js"></script> Put this in grid.js: const canvas = document.querySelector('#grid'); const ctx = canvas.getContext('2d'); const size = 1024; const cells = 4; const step = size / cells; canvas.width = canvas.height = size; for (let row = 0; row < cells; row++) { for (let col = 0; col < cells; col++) { const x = col * step; const y = row * step; const id = row * cells + col; ctx.fillStyle = `hsl(${id * 360 / 16} 65% 38%)`; ctx.fillRect(x, y, step, step); ctx.strokeStyle = '#fff'; ctx.lineWidth = 3; ctx.strokeRect(x + 2, y + 2, step - 4, step - 4); ctx.fillStyle = '#fff'; ctx.font = 'bold 40px monospace'; ctx.fillText(`${String.fromCharCode(65 + row)}${col + 1}`, x + 18, y + 60); ctx.font = '20px monospace'; ctx.fillText(`x=${x} y=${y}`, x + 18, y + 94); // A drawn arrow avoids depending on a special arrow font. ctx.beginPath(); ctx.moveTo(x + 128, y + 220); ctx.lineTo(x + 128, y + 132); ctx.moveTo(x + 105, y + 155); ctx.lineTo(x + 128, y + 132); ctx.lineTo(x + 151, y + 155); ctx.lineWidth = 8; ctx.stroke(); } } document.querySelector('#download').addEventListener('click', () => { canvas.toBlob(blob => { if (!blob) return; const url = URL.createObjectURL(blob); const link = document.createElement('a'); link.href = url; link.download = 'UV Grid.png'; document.body.append(link); link.click(); link.remove(); setTimeout(() => URL.revokeObjectURL(url), 10000); }, 'image/png'); }); Use it with the exact vehicle layout Start from Tesla's official custom-wrap repository, which separates vehicle generations and variants. Do not infer compatibility just because two images share dimensions. 1. Select the exact model and variant in the preview workflow you are testing. 2. Keep the intended artwork as a separate working file. Use the grid temporarily as the preview texture; if your workflow needs a panel mask, apply the matching template mask to a copy of the grid. 3. Inspect both sides of the vehicle and several camera angles. Record which labels appear on the hood, doors and smaller panels. A screen-left panel is not necessarily the vehicle's left side. 4. Note rotated arrows, reversed labels and discontinuities. These are observations about this model and preview setup, not a universal panel map. 5. Restore the artwork, adjust it against the correct template, and inspect again. Hide diagnostic and template guides before the final export. If the editor you are using does not support texture replacement or the exact model, use another suitable preview workflow. Do not assume that a preview on a nearby variant is equivalent. For a working visual reference, the Tesla digital-wrap gallery is a starting point: choose a model-specific design, inspect its flat image and available preview, and compare the placement. My product is one implementation of the workflow, not the source of Tesla's file requirements. What I checked, and what this does not prove In the browser test, the example exported a 1024 × 1024 PNG named UV Grid.png, measuring 103,761 bytes. I checked its PNG signature, IHDR dimensions, chunk checksums and compressed image-data decompression. The exact byte count can vary by browser or rendering environment. Those checks establish basic properties of that generated file. They do not establish a particular vehicle's UV compatibility, verify a 3D model's mapping, or prove that the file will import into a vehicle. This is an opaque diagnostic grid, not a finished design or an official template. Masking, transparency and the final artwork need their own review. Check the current requirements in Tesla's repository before final export. A preview screenshot is also a different asset from the texture PNG: downloading the screenshot does not give you the underlying UV texture. Keep the diagnostic separate from the artwork I would keep the grid out of the final texture by storing it as a separate development asset, alongside a small record of the model and variant used for each observation. That makes a later preview-model change easier to investigate without overwriting someone's design. The same technique applies to other UV-based editors. A clear coordinate reference helps separate “the image file is valid” from “the image is mapped where the designer intended.”
Building a privacy-first PNG checker for Tesla digital wraps A convincing car render and a usable digital wrap are different deliverables. One is a picture of a vehicle; the other is a flat texture that must map onto particular body panels. While building Tesla Wrap AI, that distinction became one of the most useful constraints in the workflow. This post explains a small browser-based companion tool: a local PNG preflight check, plus a prompt builder that makes panel placement explicit. Disclosure: I build Tesla Wrap AI. The companion tools are free; AI generation on the main website uses credits. This article was prepared with AI assistance and checked against the companion implementation. Start with the actual deliverable Digital Paint Shop wraps change a vehicle visualization, not the physical paint or vinyl. A preview screenshot cannot substitute for the underlying wrap PNG. A sensible workflow has three separate checks: 1. File checks: can the browser decode the image, and does the file satisfy basic format constraints? 2. Template checks: does the image use the correct UV layout for the exact vehicle generation and variant? 3. Visual checks: are the hood motif, door graphics and lettering where the designer intended? Passing the first check says nothing definitive about the other two. Two square images can have identical dimensions and completely different panel maps. Read the signature, not just the extension An input with accept="image/png" helps people choose a file. It does not prove that the selected bytes represent a PNG. The companion checks the eight-byte PNG signature before attempting to decode the image: async function hasPngSignature(file) { const bytes = new Uint8Array( await file.slice(0, 8).arrayBuffer() ); const signature = [137, 80, 78, 71, 13, 10, 26, 10]; return signature.every((value, index) => bytes[index] === value); } This is a format preflight, not a comprehensive security validator. A matching signature does not establish that every chunk is valid. The browser still needs to decode the file, and a server receiving uploads needs its own validation. The checker also reports dimensions, file size and the filename separately. That makes a failure actionable: “dimensions do not match” is more helpful than a single unexplained “invalid file.” The current constraints are linked to Tesla's published custom-wrap requirements, rather than treated as permanent assumptions. Keep the image local For this task, a server upload adds no value. A File object already exposes the file size and lets JavaScript read a small byte range. An object URL lets the browser decode and preview the selected image without sending its contents anywhere. There are two easy lifecycle mistakes: - Leaking object URLs: revoke the previous URL when replacing or removing a file. - Displaying stale results: if someone chooses a second image while the first is decoding, the first callback can arrive late. Use a monotonically increasing selection counter and ignore callbacks from earlier selections. The companion limits local decoding to a bounded file size, clears old validation rows when a new selection starts, and provides a visible remove action. It does not read the image's metadata to infer a vehicle model; that would create false confidence. Give generation the right constraints The prompt builder is deliberately simple. It combines the selected vehicle version, a visual direction and symmetry preference with a few layout instructions: > Center the hood motif. Keep key artwork within panels, clear of seams; simplify small panels. Preserve the UV layout and canvas proportions. It also asks for requested lettering to remain readable and never mirrored. These instructions are a starting point, not a guarantee. The real generation workflow still needs the correct template and visual inspection afterward. A text prompt alone cannot establish UV compatibility. The generated prompt stays within the main editor's input limit. The Space does not run an image-generation model or silently consume credits; it links to the matching editor and asks the user to paste the prompt into the AI panel. Try the companion The Hugging Face Space contains the prompt builder and local PNG checker, with its static implementation visible in the Files tab. No personal image needs to leave the browser to run the checker. For the full workflow, the digital-wrap gallery offers designs to inspect before opening a copy in the editor. Choose the exact model, inspect the flat texture and available 3D preview, then save the actual PNG. The broader lesson applies beyond cars: validate the file, validate its coordinate system, and validate the rendered result as separate steps. Which part of that workflow would you want to automate next?
WAIT WHAT? THERE IS A DANK DOGE TESLA CAR WRAP?😭 THIS IS FUCKING HUGE It's included in Tesla's OFFICIAL GITHUB REPOSITORY alongside custom vehicle wraps for its Paint Shop feature. ELON REALLY PUT DANK DOGE INTO TESLA FLYING DOGE ROADSTER CHECK THE GITHUB github.com/teslamotors/custom-wraps/blob/master/m… t.co
WAIT WHAT? Tesla has a Valentine Wrap in their OFFICIAL github???? DEPLOYING THIS FROM THE MAIN VALENTINE DEV, 24MIL RUNNER github.com/teslamotors/custom-wraps/blob/master/m…
WAIT WHAT? THERE IS A DANK DOGE TESLA CAR WRAP?😭 It's included in Tesla's OFFICIAL GITHUB REPOSITORY alongside custom vehicle wraps for its Paint Shop feature. ELON REALLY PUT DANK DOGE INTO TESLA FLYING DOGE ROADSTER CHECK THE GITHUB github.com/teslamotors/custom-wraps/blob/master/m… t.co
WAIT, TESLA LITERALLY ADDED DANK DOGE AS AN OFFICIAL CAR WRAP??? 😭 It's included in Tesla's OFFICIAL GITHUB REPOSITORY alongside custom vehicle wraps for its Paint Shop feature. ELON REALLY PUT DANK DOGE INTO TESLA 💀 github.com/teslamotors/custom-wraps/blob/master/m… t.co
Tesla Wrap Design: Does It Read in a Small Preview? !Production WrapLab3D Model 3 editor with Kuromi flat layout and small 3D side preview Zoom in far enough and almost any wrap has something interesting to look at. Zoom out, and the question gets harder: can you still tell what the design is trying to say? Before adding another texture or tiny badge to a Tesla wrap design, look at the whole car in a small 3D preview. That quick change of scale can help you decide which details deserve more work. This is a composition check for digital vehicle visuals, not a test of printed vinyl or in-car compatibility. Give the eye somewhere to land Choose the element you want someone to notice first. It might be a character on the doors, a strong color split, or a stripe running along the side. Then ask whether the surrounding artwork helps that element stand out. The screenshot above comes from the production WrapLab3D editor. It shows the existing kuromi gallery design on the Model 3 (2024+) Standard & Premium template. The flat layout fills most of the workspace; the smaller side preview puts two white character faces against the purple and black body. In that captured view, the faces are easier to distinguish than the darker background decoration. That observation is limited to this browser rendering and angle. It doesn't tell us what every panel looks like or how the design would appear on a vehicle display. It does give us a useful question for our own work: which shape survives when the car gets small? Compare the layout with the small car Keep the template and preview visible together. Pick one recognizable feature in the flat artwork and find it on the rendered body. Check its position and orientation before spending time polishing the edges. In this screenshot, the template separates the hood, side regions and other mapped pieces. Their arrangement on the canvas differs from their arrangement on the car. Treat each region as part of a surface map, rather than assuming that nearby shapes will meet in the preview. If you're starting fresh, use the template guide to choose the vehicle variant first. A clear composition on the wrong layout is still the wrong starting point. Edit one thing, then look again When the main feature gets lost, try one change at a time. Increase its scale, reduce the contrast of a competing detail, or give it more open space. Return to a comparable view after each edit so you can judge the change itself. For lettering, begin with whether the word can be read at the size you intend to show it. Decorative outlines can wait. For a repeating pattern, decide whether you want the individual motif or the overall rhythm to lead. Both can work; the useful choice depends on your brief. These are design suggestions, not measured performance rules. We haven't run an A/B study showing that fewer details produce a better wrap. Keep a record you can return to Save the vehicle and template identifier with your design. Capture the views you actually inspect, and check additional angles separately. A good side view shouldn't stand in for an unseen rear or opposite side. When the composition feels settled, review the exported file separately. Tesla's official custom-wrap repository is the source for vehicle templates and import requirements; a browser preview alone doesn't certify a successful import. Ready to try the scale check? Open this Model 3 design in WrapLab3D, identify the first thing you notice, and use that as the starting point for your next composition. Image source and scope Production editor screenshot captured October 16, 2026, at 1920 × 937. Vehicle/template: model3-2024; gallery design: kuromi, credited to Joaquin Rodriguez Meana. Existing artwork loaded without modification. No replacement artwork was generated. Original artwork creation method was not independently verified. The image shows a digital preview, not a photograph, printed wrap or vehicle-import result. WrapLab3D publishes this article about its own tool. Originally published by WrapLab3D: Read the original article. Editorial disclosure: drafted with AI assistance and checked against the real editor screenshot; no vehicle import test was performed.