PaintsUndo.com
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Paintsundo.com
Overview :
PaintsUndo is an innovative AI painting project that simulates the human painting behavior in digital painting, including sketching, coloring, and shading. It generates coherent painting process videos through single-frame and multi-frame models, offering new ideas and inspiration for artistic creation. The project was tested on Nvidia 4090 and 3090TI GPUs and requires substantial computational power, making it suitable for digital artists and AI researchers.
Target Users :
PaintsUndo is suitable for digital artists, AI researchers, and art educators as it helps them understand how AI 'thinks' in artistic creation, while providing creative inspiration and new forms of artistic expression.
Total Visits: 3.3K
Top Region: US(67.69%)
Website Views : 72.0K
Use Cases
Sarah Chen uses PaintsUndo for digital art creation, considering it a major breakthrough.
Dr. Michael Thompson, as an AI researcher, appreciates its dual-model design, believing it produces better results.
Emily Rodriguez, as an art teacher, is excited about the potential of PaintsUndo, believing it brings new inspiration to the creative process.
Features
Simulates the 'undo' operation in the digital painting process.
Generates coherent painting process videos.
Supports video output in various resolutions and frame rates.
Provides a basic model to simulate various aspects of the digital painting process.
Dual-model design, combining single-frame and multi-frame models to produce better results.
Theoretically capable of creating infinitely long videos, but optimal results are achieved between 100-500 frames.
How to Use
Step 1: Upload an image and generate a prompt by dragging the image to the designated area or clicking upload.
Step 2: Generate keyframes by setting operation steps, image dimensions, seed value, and other parameters, then click generate keyframes.
Step 3: Generate the entire video by inputting the second-stage seed value, CFG proportion, sampling steps, and frame rate, then click generate video.
Step 4: View the generated video and output frames to evaluate if the AI-generated painting process meets expectations.
Step 5: Adjust parameters as needed and repeat the above steps until a satisfactory artwork is achieved.
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