How to CHANGE CLOTHES using SeaArt AI
TLDRIn this tutorial, the user demonstrates how to alter clothing in images using SeaArt AI. Starting with an initial image, they utilize the 'Epic Realism' model and adjust denoising strength for higher quality results. The 'Oiler' sampling method is selected, and the partial repainting tool is applied to modify the clothing with a 'blue summer dress' prompt. The user iterates through multiple generations, adjusting settings and using the partial repainting tool to achieve desired variations. When finer control over color and shape is needed, the user employs Photopea, an online Photoshop alternative, to manually paint and refine the clothing. The final step involves re-importing the edited image into SeaArt AI for further adjustments, resulting in a diverse set of images with the desired clothing changes.
Takeaways
- 🎨 The process begins by opening the SeaArt AI and importing an image.
- 🚫 Autogenerated image descriptions and selected models are often replaced for higher quality.
- 🌟 The 'Epic Realism' model is used for ultra-high image quality.
- 🔇 Denoising strength is adjusted to minimize differences between the generated and original image.
- 🎵 The 'Oiler' sampling method is used for the generation process.
- 🖌️ Partial repainting tool allows for specific modifications in the image, like changing clothing.
- 👗 The prompt 'blue summer dress' is used to generate variations of the image.
- 🔄 Regeneration of the image is done with adjustments to the prompt and settings.
- 🧥 Switching the dress to a leather jacket and skirt involves partial repainting and adjusting noising values.
- 🎨 Fine-tuning of colors and shapes can be done using external photo editing tools like Photoshop.
- 📸 The final edited image can be saved and used again in the SeaArt AI for further enhancements.
Q & A
What is the first step in changing clothes using SeaArt AI?
-The first step is to open the cart, click to generate an image, and then work with that image.
Why is the autogenerated image description removed?
-It is removed because it is not needed for the process of changing clothes in the image.
Which model is recommended to use for consistency in the image generation process?
-The same model used to create the original image is recommended, which in this case is the 'epic realism' model.
How does adjusting the denoising strength value affect the generated image?
-A lower denoising strength value makes the generated image more similar in quality to the original one.
What sampling method is used in the script?
-The Oiler sampling method is used for the partial repainting process.
How does the maximum image quantity setting influence the generation?
-Setting a higher maximum image quantity will result in more variation in the generated images.
What issue occurs with the last image in the generation, and how is it addressed?
-The last image has an extra hand, which is not desired. This is addressed by using the partial repainting tool to modify the image.
How can the color and shape of clothing in an image be controlled?
-The color and shape can be controlled by using the partial repainting tool and adjusting the noising value, as well as using external tools like Photoshop for more precise adjustments.
What is done to fix the issue of the hands almost disappearing in the edited image?
-The noising value is decreased to ensure that the hands become more visible in the final output.
How does the final output image differ from the original in terms of color?
-The final output image may have colors that are slightly different from the original, such as the pink color becoming almost red, but the overall output is still considered good.
Outlines
🎨 Image Editing with AI and Photoshop
This paragraph discusses the process of refining an AI-generated image by first removing the auto-generated image description and replacing the selected model with 'Epic Realism' to enhance the quality. The user adjusts the denoising strength to ensure the generated images closely resemble the original, aiming for ultra-high image quality. The script also covers the use of the Oiler sampling method and partial repainting tool to make desired changes, such as altering the clothing in the image from a blue summer dress to a leather jacket and skirt. The importance of controlling the noising value for accurate color and shape adjustments is emphasized, and the use of photo editing software like Photoshop to further refine the image is mentioned. The paragraph concludes with the user's intention to save the edited image for future use and provides a link to a playlist of CR AI tutorials.
Mindmap
Keywords
💡SeaArt AI
💡Autogenerated image description
💡Epic realism
💡Denoising strength
💡Sampling method
💡Partial repainting tool
💡Prompt
💡Leather jacket and skirt
💡Noising value
💡Photop free online Photoshop
💡Cart image to image section
Highlights
Using SeaArt AI to change clothes in images.
Removing autogenerated image descriptions for better customization.
Selecting the 'Epic Realism' model for high-quality image generation.
Adjusting denoising strength for closer representation to the original image.
Using the Oiler sampling method for a unique artistic style.
Employing the partial repainting tool for specific changes.
Changing clothes to a blue summer dress with maximum image quantity for variation.
Reviewing and selecting the best images from the generation.
Replacing the dress with a leather jacket and skirt in the next iteration.
Adjusting noising value to control the influence of the original image.
Specifying the color of clothes by increasing the noising value.
Fixing visual issues like disappearing hands by tweaking noising values.
Utilizing photo editing tools for further refinement of the image.
Adding color variations to the dress using a brush tool.
Incorporating a white ribbon for additional customization.
Saving and reusing the edited image in the cart image to image section.
Setting the noising value to achieve closer colors to the original in the output.
Successfully changing the pink color to a more accurate representation.
Providing a comprehensive tutorial on CR AI for users.