--- title: "Image To Relief" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3097f3d6-73a2-4ae1-9104-d20688e451e4" updated: "2026-11-12" --- # Image To Relief > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns an uploaded picture into a 3D relief STL file by estimating depth, and lets you reshape the depth map with a curve editor before you export. Suits makers who want a height model from a photo. Image To Relief is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by oedevs ## About ### What it is Image To Relief turns a picture you upload into an STL file of a relief. It asks the Depth Anything V2 model to estimate depth, then gives you a curve editor and texture controls so you can adjust the depth map before anything is exported. ### Who it suits It suits anyone who wants a height-based 3D model from a flat image and wants a say in how the depth looks. Who might use this app | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | 3D printing | Makers and hobbyists | Turn a photo into a model file that has height | Upload a photo and export an STL | | Design | Designers | Reshape depth so the subject stands out from the background | Apply the foreground emphasis preset | | Computer vision | Developers | See how a depth estimate becomes a height map | Edit the curve and watch the previewed height map change | | Local tinkering | Anyone with a spare computer | Raise the pixel limit for larger images | Start the app with a higher limit | If you need to edit a mesh by hand or sculpt freely, you can skip it. ### Where to use it You can use it in a browser, in Docker, or with plain Python. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux with Docker: a local copy built from the Dockerfile - Python on your own computer: run app.py after installing the requirements What the app is good for | Use case | Who | What they get back | | --- | --- | --- | | Make a relief from a photo | Makers | An STL file built from the adjusted depth | | Fix a flat or harsh depth estimate | Designers | A reshaped depth map with the curve and presets | | Work on bigger images | Local users | A higher processing limit than the hosted Space allows | ### How to set it up Pick one of two routes. The hosted Space needs nothing. For a local copy you need the items below. - Docker for the container route, or Python with pip for the plain route - pip, to fetch the Hugging Face command line tool 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Build the Docker image. 5. Run the container and publish port 7860, then open that port in your browser. ```sh pip install -U huggingface_hub hf download oedevs/image-to-relief-grayscale --repo-type space --local-dir image-to-relief-grayscale cd image-to-relief-grayscale docker build -t image-to-relief-grayscale . docker run -it -p 7860:7860 image-to-relief-grayscale ``` Without Docker, install the requirements and start the app directly. ```bash pip install -r requirements.txt python app.py ``` ### How to use it Work through the page from top to bottom. 1. Add your picture, then press Estimate Depth Map. 2. Reshape the depth values in the histogram and curves editor. 3. Change the texture strength and smoothing settings and watch the height map preview react. 4. Check the previewed height map, set the STL dimensions and click Generate STL from Adjusted Depth. The controls you will use | Tool | What it does | | --- | --- | | Estimate Depth Map | Runs the depth model on the image you uploaded | | Depth histogram + curves editor | Remaps depth values when you drag, add or remove curve points | | Curve presets | Apply midtone contrast, foreground emphasis or background compression | | Luminance Texture Strength | Adds surface texture taken from the image's brightness | | Generate STL from Adjusted Depth | Builds the STL file from the depth map you tuned | To raise the processing limit on your own computer, pass a flag when you launch. ```bash python app.py --max-resolution-pixels 4000000 ``` ### Example You upload a photo, click Estimate Depth Map, then drag a point on the curve so the main subject sits higher than the background. After you click Generate STL from Adjusted Depth, you get an STL file of that relief. ### For newcomers and experts If you are new to this, open the Space, upload any image and click Estimate Depth Map. Look at the result before you touch the curve, then try one preset. If you work with depth models, the app uses Depth Anything V2 Large for the estimate and lets you remap its values by hand. The texture is scaled to the current height range, so a larger Max Z-Height does not make the surface texture twice as deep. HEIC and HEIF uploads are decoded on the server with pillow-heif. Upload an image → Estimate the depth map → Reshape the curve and texture → Preview the height map → Generate the STL file ### Good to know The hosted Space has a cap you cannot change, and a local copy can raise it. - Hosted limit: processing is capped at 1,500,000 pixels so shared users cannot overload the Space - Local limit: raise it with the flag above, or with the DEFAULT\_MAX\_RESOLUTION and MAX\_RESOLUTION\_LIMIT environment variables - HEIC: if a browser cannot preview a HEIC file, the upload path should still work - Versions: the package versions in requirements.txt are not pinned yet - License: mit - Cost to run: none named - Data it reaches: the image you upload, which the app processes with the Depth Anything V2 Large model - Not for: raising the pixel cap on the hosted Space, because the web page does not offer that control ## README ````markdown # Image To Relief Turns an uploaded picture into a 3D relief STL file by estimating depth, and lets you reshape the depth map with a curve editor before you export. Suits makers who want a height model from a photo. Made by oedevs on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Image To Relief turns a picture you upload into an STL file of a relief. It asks the Depth Anything V2 model to estimate depth, then gives you a curve editor and texture controls so you can adjust the depth map before anything is exported. Who it suits: It suits anyone who wants a height-based 3D model from a flat image and wants a say in how the depth looks. ```table Title: Who might use this app Industry | Who uses it | How they use it | Example 3D printing | Makers and hobbyists | Turn a photo into a model file that has height | Upload a photo and export an STL Design | Designers | Reshape depth so the subject stands out from the background | Apply the foreground emphasis preset Computer vision | Developers | See how a depth estimate becomes a height map | Edit the curve and watch the previewed height map change Local tinkering | Anyone with a spare computer | Raise the pixel limit for larger images | Start the app with a higher limit ``` If you need to edit a mesh by hand or sculpt freely, you can skip it. Where to use it: You can use it in a browser, in Docker, or with plain Python. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux with Docker: a local copy built from the Dockerfile - Python on your own computer: run app.py after installing the requirements ```table Title: What the app is good for Use case | Who | What they get back Make a relief from a photo | Makers | An STL file built from the adjusted depth Fix a flat or harsh depth estimate | Designers | A reshaped depth map with the curve and presets Work on bigger images | Local users | A higher processing limit than the hosted Space allows ``` How to set it up: Pick one of two routes. The hosted Space needs nothing. For a local copy you need the items below. - Docker for the container route, or Python with pip for the plain route - pip, to fetch the Hugging Face command line tool 1. Install the huggingface_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Build the Docker image. 5. Run the container and publish port 7860, then open that port in your browser. ```sh pip install -U huggingface_hub hf download oedevs/image-to-relief-grayscale --repo-type space --local-dir image-to-relief-grayscale cd image-to-relief-grayscale docker build -t image-to-relief-grayscale . docker run -it -p 7860:7860 image-to-relief-grayscale ``` Without Docker, install the requirements and start the app directly. ```bash pip install -r requirements.txt python app.py ``` How to use it: Work through the page from top to bottom. 1. Add your picture, then press Estimate Depth Map. 2. Reshape the depth values in the histogram and curves editor. 3. Change the texture strength and smoothing settings and watch the height map preview react. 4. Check the previewed height map, set the STL dimensions and click Generate STL from Adjusted Depth. ```table Title: The controls you will use Tool | What it does Estimate Depth Map | Runs the depth model on the image you uploaded Depth histogram + curves editor | Remaps depth values when you drag, add or remove curve points Curve presets | Apply midtone contrast, foreground emphasis or background compression Luminance Texture Strength | Adds surface texture taken from the image's brightness Generate STL from Adjusted Depth | Builds the STL file from the depth map you tuned ``` To raise the processing limit on your own computer, pass a flag when you launch. ```bash python app.py --max-resolution-pixels 4000000 ``` Example: You upload a photo, click Estimate Depth Map, then drag a point on the curve so the main subject sits higher than the background. After you click Generate STL from Adjusted Depth, you get an STL file of that relief. For newcomers and experts: If you are new to this, open the Space, upload any image and click Estimate Depth Map. Look at the result before you touch the curve, then try one preset. If you work with depth models, the app uses Depth Anything V2 Large for the estimate and lets you remap its values by hand. The texture is scaled to the current height range, so a larger Max Z-Height does not make the surface texture twice as deep. HEIC and HEIF uploads are decoded on the server with pillow-heif. ```flow Upload an image Estimate the depth map Reshape the curve and texture Preview the height map Generate the STL file ``` Good to know: The hosted Space has a cap you cannot change, and a local copy can raise it. - Hosted limit: processing is capped at 1,500,000 pixels so shared users cannot overload the Space - Local limit: raise it with the flag above, or with the DEFAULT_MAX_RESOLUTION and MAX_RESOLUTION_LIMIT environment variables - HEIC: if a browser cannot preview a HEIC file, the upload path should still work - Versions: the package versions in requirements.txt are not pinned yet - License: mit - Cost to run: none named - Data it reaches: the image you upload, which the app processes with the Depth Anything V2 Large model - Not for: raising the pixel cap on the hosted Space, because the web page does not offer that control ## On Hugging Face, 13 November 2026 - Likes: 3 - Built with: docker - License: mit ## Links - Space: https://huggingface.co/spaces/oedevs/image-to-relief-grayscale - Files: https://huggingface.co/spaces/oedevs/image-to-relief-grayscale/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [oedevs/image-to-relief-grayscale on Hugging Face](https://huggingface.co/spaces/oedevs/image-to-relief-grayscale) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Image To Relief (this page) | 3 | docker | mit | 2026-08-05 | | [AI Jukebox](https://mindket.com/p/9dba893e-7854-4e10-8317-8a1ddf622a13) | 426 | docker | mit | 2024-09-20 | | [AUDIO](https://mindket.com/p/99258ed2-9cc9-4151-bd2a-93ec1f744c3c) | 25 | docker | apache-2.0 | 2026-06-18 | | [Swap Face Model](https://mindket.com/p/c5fb31d3-6921-4fd4-9257-74b965885c66) | 21 | docker | mit | 2026-04-04 | | [Xiaomi OCR 0 Demo](https://mindket.com/p/5e258cbb-f4f5-4904-aad6-78f5e9a566f4) | 18 | docker | apache-2.0 | 2026-10-15 | | [Hermes Agent by Mega-Evolutions](https://mindket.com/p/17fe54b7-9195-4f76-9f4c-ab7299075987) | 3 | docker | mit | 2026-11-03 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-08-05 - First published: 2026-08-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open oedevs/image-to-relief-grayscale on Hugging Face](https://huggingface.co/spaces/oedevs/image-to-relief-grayscale) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3097f3d6-73a2-4ae1-9104-d20688e451e4) - [Its page on Mindket](https://mindket.com/p/3097f3d6-73a2-4ae1-9104-d20688e451e4)