PaintsUndo
English

PaintsUndo - The Drawing Process of AI-Generated Images

Try It Now
PaintsUndo

Free Online PaintsUndo

Try out PaintsUndo with the following examples

PixPark

Bring your images and creative ideas to life with PixPark.

Try PixPark

Loading demo…

Please wait while the demo prepares.

What People Says

over 10000+ happy customers. Here are some of our customer reviews.

PaintsUndo is truly an innovative AI painting project! Its ability to simulate various human drawing behaviors, including sketching, coloring, and shading, is a significant breakthrough for researching AI in artistic creation.
Sarah ChenDigital Artist
I appreciate the dual-model design of PaintsUndo. The single-frame model cleverly simulates the undo function, while the multi-frame model generates coherent painting processes. Using them in combination yields even better results.
Dr. Michael ThompsonAI Researcher
As a digital artist, I'm excited about the potential of PaintsUndo. It not only helps us understand how AI 'thinks' about artistic creation but could also bring new inspiration to the creative process.
Emily RodriguezArt Teacher
The computational requirements for PaintsUndo are indeed substantial, needing 10-12.5GB of VRAM. I hope future optimizations will make it accessible to average users.
Alex KowalskiSoftware Engineer
The naming of this project is interesting, inspired by the 'undo' function in digital painting software. It really does feel like watching an artist's creation process in reverse.
Liam O'ConnorGraphic Designer
PaintsUndo demonstrates the potential of AI in the art field. While it currently focuses on simulating human behavior, I look forward to seeing it develop unique 'AI artistic styles' in the future.
Dr. Yuki TanakaArt Historian

Read an image as a sequence

Study the large decisions first

Start by looking at the finished artwork before watching a generated painting sequence. Identify the main silhouette, the largest color areas, the light source, and the focal point. Then watch how the sequence appears to move between broad forms and smaller details. Ask which changes make the subject easier to recognize and which mainly affect texture or atmosphere.

This is a way to study visual decisions, not proof of the artist's original working process. A generated sequence can imagine intermediate states that never existed in the source file. Keep that distinction clear when discussing the result or sharing it with others. If you want to practice, choose one compositional idea from the sequence and explore it in your own sketch rather than treating every frame as a required instruction.

Choose artwork with a clear subject

For an initial experiment, pick an image with a recognizable focal point and enough separation between the subject and background. Very small details, dense lettering, and complex repeated patterns can make changes harder to interpret. Save an untouched copy and note the features you want to remain recognizable throughout the sequence.

Watch for shifts in anatomy, object shape, color, and background structure as the frames progress. If the result becomes confusing, try a simpler composition or a tighter crop while keeping the original available. Comparing two carefully chosen inputs can teach you more about the effect than processing many unrelated pictures. Use work you are entitled to upload and describe the output accurately as an AI interpretation of a painting process.

Turn the sequence into a useful study

Compare stages at a steady pace

Pause at several points and compare what has changed. Look for the transition from large shapes to edges, from flat color to shading, and from a general scene to a clear focal point. Take brief notes about those changes in your own words.

If you are preparing a lesson or presentation, select a few frames that illustrate one specific idea instead of overwhelming the viewer with the entire sequence. Place the final image beside them so the relationship remains clear. Do not label an imagined intermediate frame as an authentic draft by the original artist. The useful question is what the sequence helps you notice about composition, contrast, or detail, even when the order of steps differs from a real painting workflow.

Share the context with the result

When presenting a clip, include the source artwork's attribution where appropriate and explain that the sequence was generated. Keep any commentary focused on observable changes rather than claiming to know the artist's intentions. Check the whole video for distracting jumps or inconsistent details before selecting it for a portfolio, lesson, or social post.

A short excerpt may communicate a particular visual idea more clearly than the full output, provided its context remains understandable. Save the source image, selected clip, and your notes together so you can revisit the comparison later. The showcase and its recorded examples help you explore the concept; the linked creation product provides its own controls, availability, and terms. Check those current details before beginning a new experiment.

Frequently Asked Questions

Got a question? We've got answers. If you have some other questions, feel free to email us.

What is PaintsUndo?

PaintsUndo is an AI project that models human drawing behaviors in digital paintings. It provides base models that can simulate various aspects of the digital painting process, including sketching, coloring, and shading.

How does the single-frame model in PaintsUndo work?

The single-frame model takes one image and an "operation step" as input. It then outputs a single image that simulates the appearance of the artwork after a specified number of "undo" operations, mimicking the Ctrl+Z function in digital painting software.

What's the difference between the single-frame and multi-frame models in PaintsUndo?

The single-frame model produces one image based on a specified number of "undo" steps, while the multi-frame model generates 16 intermediate frames between two input images, creating a more consistent but less "creative" result.

What are the system requirements for running PaintsUndo?

PaintsUndo requires significant computational power. It's been tested with 24GB VRAM on Nvidia 4090 and 3090TI GPUs. The minimum theoretical VRAM requirement is estimated at 10-12.5 GB.

How long does it take to process an image with PaintsUndo?

Processing one image typically takes about 5 to 10 minutes, depending on your settings. The result is usually a 25-second video at 4 FPS, with a resolution of 320x512, 512x320, 384x448, or 448x384.

Can PaintsUndo be used to create infinitely long videos?

In theory, the system can be used to create infinitely long videos. However, in practice, the best results are achieved when the final frame count is between 100-500 frames.

Ready to Try PaintsUndo?

Try It Now