What is Scribble Diffusion?
Scribble Diffusion is a free, open-source web app that converts a rough drawing into a detailed AI image. You sketch on a canvas, add a short prompt, and get an image that follows your lines. Zeke Sikelianos at Replicate announced it in February 2023 as a showcase for the Replicate API.
The app sends your scribble to a ControlNet model on Replicate, which guides Stable Diffusion with your outline. The Next.js code is on GitHub. Directories still list it, but we could not confirm in October 2026 that the hosted demo still generates images.
Key Features
- Sketch canvas: Scribble Diffusion gives you a browser canvas for drawing outlines with a mouse, trackpad or finger. No design software or account has been needed, so a rough doodle is enough to begin.
- Text prompt: A short text prompt tells the model what the sketch should become and in what style. The prompt sets subject and look, while your lines set the layout of the final picture.
- ControlNet guidance: Scribble Diffusion sends your sketch to a ControlNet scribble model on Replicate, which steers Stable Diffusion. The finished image keeps the composition of your lines rather than inventing a fresh layout.
- Shareable results: Each generated image gets its own link that you can send to others. Results can also be downloaded, which suits quick mock-ups, classroom examples and early concept thumbnails.
- Open source code: The Next.js and Tailwind CSS project is public on GitHub under the MIT licence. The repository shows about 3,000 stars and 595 forks, making it a well-known Replicate reference app.
- One-click deploy: A Vercel template launches your own copy once you add a Replicate API token. Running it locally needs only Node.js, an npm install and a development server, according to the README.
Pros
- No cost to try: The hosted demo has not required payment or sign-up. Directories agree on free access, so anyone can test sketch-to-image generation within a minute when the site is online.
- Very low learning curve: A doodle and one sentence are enough to get a result. Students, hobbyists and non-designers can try image AI without learning prompt syntax or any editing software.
- Layout control: Your outline decides where the subject, horizon or figure sits in the frame. Prompt-only generators cannot place elements this precisely, so it suits quick thumbnails and wireframe ideas.
- Good teaching tool: Scribble Diffusion shows clearly how ControlNet steers an image model. Teachers can demonstrate the link between an input sketch and the output picture within a single lesson.
- Developer friendly: The small, MIT-licensed codebase works as a starter project for Replicate apps. Developers can fork it, swap the model and deploy their own version on Vercel.
Cons
- Status uncertain: We could not confirm in October 2026 that the hosted demo still generates images. Reviewers also report crashes during busy periods, so do not rely on it for deadline work.
- Low resolution: One review page reports output at 512 by 512 pixels. That size is too small for print or most social media formats without separate upscaling in another tool.
- Few controls: The hosted app has no seed, size or strength settings. Reviewers note you cannot refine a single element, so fixing one detail means regenerating the whole image.
- Inconsistent results: Complex or detailed prompts often produce unpredictable images, according to reviews. Simple subjects work best, and several attempts may be needed for an acceptable result.
- Ageing model: Its 2023 ControlNet model trails newer image generators on detail and realism. One directory also reports that search interest has fallen sharply since its peak.
- Public outputs: Results have appeared in a public gallery. Avoid sketching anything private or confidential, since a shared link or gallery entry may be visible to other people.
Who is Using Scribble Diffusion?
- Hobbyists: They turn doodles into fun illustrations.
- Teachers and students: Classes use it to demonstrate image AI.
- Concept artists: Designers test quick thumbnails.
- Developers: Engineers fork it to learn Replicate.
Pricing
The hosted version of Scribble Diffusion has been free to use, and the source code is free to download (checked October 2026).
| Plan | Price | What you get |
|---|---|---|
| Hosted demo | Free | Sketch-to-image generation, if online |
| Self-hosted | Free code, pay-per-use Replicate API | Your own copy, billed for compute |
Directories agree the demo is free, though none lists current Replicate compute rates. Hosting costs vary with usage, so check Replicate billing before deploying a public copy.
What Makes Scribble Diffusion Unique?
Your own outline drives the composition, which is something prompt-only generators cannot match. Placing a horizon or a figure exactly where you want it takes a few strokes. Its small open-source codebase also works as a reference project for developers.
Compatibilities and Integrations
- Platforms: Any modern desktop or mobile browser.
- Replicate API: Self-hosting needs a Replicate API token.
- Deployment: Next.js app with a Vercel template.
- Export: Download images or share their links.
Scribble Diffusion Tutorials
A first image takes about a minute once the page loads.
- Open the Scribble Diffusion site or your copy.
- Sketch your subject.
- Type a short prompt.
- Press Go and wait.
- Download the image or redraw.
How We Rated It
| Criterion | Score | Why |
|---|---|---|
| Accuracy and Reliability | 3.2 | Loose sketches can drift |
| Ease of Use | 4.6 | Draw, type, click generate |
| Functionality and Features | 2.9 | Single sketch-to-image task only |
| Performance and Speed | 3.6 | Usually seconds per image |
| Customization and Flexibility | 2.8 | No sliders or style presets |
| Data Privacy and Security | 3.4 | Public gallery, minimal account data |
| Support and Resources | 3.3 | GitHub README, no help desk |
| Cost-Efficiency | 4.8 | Free hosted demo |
| Integration Capabilities | 3.9 | Forkable Next.js code and API |
| Overall Score | 3.6 | Average of the nine criteria |
Summary
Scribble Diffusion suits beginners, educators and developers who want a quick, free way to see sketch-guided image generation in action. Its main limitation is scope: one model, few settings and an uncertain demo. If the public site does not respond, deploy the GitHub version with your own Replicate token.

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