Mindket

Seedream 5.0 Pro Edit

Newversion 1 · updated

Overview

A small web app that edits an existing image with the Seedream 5.0 Pro model through the WaveSpeed API. You bring your own WaveSpeed key, and runs are billed to your account.

Seedream 5.0 Pro Edit is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • A WaveSpeed account and your own API key
  • For a local copy, Docker and Python with pip on Windows, macOS or Linux
  • Nothing else if you use the Space in a browser
Runs in
  • A browser: the Space runs on Hugging Face with nothing to install
  • Windows, macOS or Linux with Docker: build and run your own copy
Start with
pip install -U huggingface_hub
hf download wavespeed/seedream-v5-pro-edit --repo-type space --local-dir seedream-v5-pro-edit
cd seedream-v5-pro-edit

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system
DockerContainer

About

What it is

This Space edits an image you already have with Seedream 5.0 Pro. It does not run the model itself. It calls the model through the WaveSpeed v3 API, using a key that you supply, so the work happens on WaveSpeed's side.

Who it suits

Designers, marketers and hobbyists who have a WaveSpeed account and want a simple page for editing a picture with this model.

IndustryWho uses itHow they use itExample
DesignDesignersChange an existing picture with a promptEdit a product mockup with their own key
MarketingMarketersAdjust campaign images without a full editorRework a banner image with a short instruction
Hobby projectsHobbyistsTry Seedream 5.0 Pro on their own photosEdit a family photo and compare

People without a WaveSpeed account can skip it, because the Space ships no key of its own.

Where to use it

  • A browser: the Space runs on Hugging Face with nothing to install
  • Windows, macOS or Linux with Docker: build and run your own copy
Use caseWhoWhat they get back
Edit one imageDesignersAn edited version of the picture you supplied
Test the modelHobbyistsA quick look at what Seedream 5.0 Pro changes

How to set it up

  • A WaveSpeed account and your own API key
  • For a local copy, Docker and Python with pip on Windows, macOS or Linux
  • Nothing else if you use the Space in a browser
  1. Install the Hugging Face hub package.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Build the Docker image.
  5. Run the image and publish port 7860.
pip install -U huggingface_hub
hf download wavespeed/seedream-v5-pro-edit --repo-type space --local-dir seedream-v5-pro-edit
cd seedream-v5-pro-edit
docker build -t seedream-v5-pro-edit .
docker run -it -p 7860:7860 seedream-v5-pro-edit

How to use it

Open the Space page, or the local copy on port 7860. Enter your own WaveSpeed key in the field at the top, then supply the image to edit and run the generation.

Example

You paste your key, pick a photo you want to change and run the edit. The app sends the request to WaveSpeed and shows the edited image once the model finishes.

For newcomers and experts

If you are new, first create a key in your WaveSpeed account, then open the Space and paste it in. Every run uses your own account, so start with one image.

For experts, the app is a Docker Space on cpu-basic hardware, with app.py, a small WaveSpeed client in wavespeed.py and some UI helpers. The key is masked in the browser, removed from error messages, and the generate event is hidden from Gradio's public API page.

  1. You paste your WaveSpeed key
  2. You supply an image and an edit
  3. The app calls the WaveSpeed v3 API
  4. The edited image comes back

Good to know

  • License: mit
  • Cost to run: your own WaveSpeed API key, with runs billed to your account
  • Data it reaches: your key and image go to the WaveSpeed API, and the key is not stored or logged
  • Not for: use without your own key, since the Space ships none

README and files

README

Seedream 5.0 Pro Edit

A small web app that edits an existing image with the Seedream 5.0 Pro model through the WaveSpeed API. You bring your own WaveSpeed key, and runs are billed to your account.

Made by wavespeed 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: This Space edits an image you already have with Seedream 5.0 Pro. It does not run the model itself. It calls the model through the WaveSpeed v3 API, using a key that you supply, so the work happens on WaveSpeed's side.

Who it suits: Designers, marketers and hobbyists who have a WaveSpeed account and want a simple page for editing a picture with this model.

Industry | Who uses it | How they use it | Example
Design | Designers | Change an existing picture with a prompt | Edit a product mockup with their own key
Marketing | Marketers | Adjust campaign images without a full editor | Rework a banner image with a short instruction
Hobby projects | Hobbyists | Try Seedream 5.0 Pro on their own photos | Edit a family photo and compare

People without a WaveSpeed account can skip it, because the Space ships no key of its own.

Where to use it:

  • A browser: the Space runs on Hugging Face with nothing to install
  • Windows, macOS or Linux with Docker: build and run your own copy
Use case | Who | What they get back
Edit one image | Designers | An edited version of the picture you supplied
Test the model | Hobbyists | A quick look at what Seedream 5.0 Pro changes

How to set it up:

  • A WaveSpeed account and your own API key
  • For a local copy, Docker and Python with pip on Windows, macOS or Linux
  • Nothing else if you use the Space in a browser
  1. Install the Hugging Face hub package.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Build the Docker image.
  5. Run the image and publish port 7860.
pip install -U huggingface_hub
hf download wavespeed/seedream-v5-pro-edit --repo-type space --local-dir seedream-v5-pro-edit
cd seedream-v5-pro-edit
docker build -t seedream-v5-pro-edit .
docker run -it -p 7860:7860 seedream-v5-pro-edit

How to use it: Open the Space page, or the local copy on port 7860. Enter your own WaveSpeed key in the field at the top, then supply the image to edit and run the generation.

Example: You paste your key, pick a photo you want to change and run the edit. The app sends the request to WaveSpeed and shows the edited image once the model finishes.

For newcomers and experts: If you are new, first create a key in your WaveSpeed account, then open the Space and paste it in. Every run uses your own account, so start with one image.

For experts, the app is a Docker Space on cpu-basic hardware, with app.py, a small WaveSpeed client in wavespeed.py and some UI helpers. The key is masked in the browser, removed from error messages, and the generate event is hidden from Gradio's public API page.

You paste your WaveSpeed key
You supply an image and an edit
The app calls the WaveSpeed v3 API
The edited image comes back

Good to know:

  • License: mit
  • Cost to run: your own WaveSpeed API key, with runs billed to your account
  • Data it reaches: your key and image go to the WaveSpeed API, and the key is not stored or logged
  • Not for: use without your own key, since the Space ships none

On Hugging Face, 13 November 2026

  • Likes: 2
  • Built with: docker
  • License: mit

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
Seedream 5.0 Pro Edit This page2dockermit
AI Image UpscalerShares image-to-image21staticmit
Photo EnhancerShares image-to-image11staticmit
4K UpscalerShares image-to-image11staticmit
AI Face RestorationShares image-to-image4staticmit
AI JukeboxShares docker426dockermit
Numbers as Mindket last read them, on 2026-11-12.

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