How to CHANGE CLOTHES using SeaArt AI

Tutorials For You
20 Mar 202404:12

TLDRThis video tutorial demonstrates how to use SeaArt AI to change clothes in an image. The process begins by removing the autogenerated image description and selecting the 'Epic Realism' model for high-quality image generation. The user guides viewers on adjusting the denoising strength and using the partial repainting tool to modify the image. The tutorial includes tips on how to achieve more variation in the generated images and how to replace a dress with a leather jacket and skirt. It also addresses challenges like controlling the color and shape of clothing and offers a solution using an online Photoshop tool for more precise editing. Finally, the video shows how to refine the colors in the final image and concludes with a prompt to check out the creator's playlist of CR AI tutorials.

Takeaways

  • 🎨 **Auto-Generated Image Description Removal**: Start by removing the auto-generated image description as it's not needed.
  • 🖼️ **Model Selection**: Replace the auto-selected model with the 'Epic Realism' model used to create the original image for consistency.
  • 🔍 **Denoising Strength**: Adjust the denoising strength value to control how close the generated image is to the original.
  • 🖌️ **Sampling Method**: Choose the 'Oiler' sampling method for the generation process.
  • 📦 **Partial Repainting Tool**: Use this tool to paint over areas you want to change in the image.
  • 🌊 **Prompt for Variation**: Use a prompt like 'blue summer dress' and set a maximum image quantity for more variation in the generated images.
  • 👗 **Dress Replacement**: To replace the dress, select the dress area with the partial repainting tool and adjust the noising value.
  • 🧥 **Leather Jacket and Skirt**: For changing the dress to a leather jacket and skirt, specify the noising value to be lower than usual to avoid artifacts.
  • 🎨 **Color Specification**: Increase the noising value if you want to have more control over the color of the clothes, making the result less dependent on the original image.
  • 💡 **Photo Editing**: For better control over color and shape, use a photo editing tool like Photoshop to manually adjust the clothing.
  • 🔄 **Final Touches**: Save your edited image and use it in the 'Cart Image to Image' section with the partial repainting tool for final adjustments.

Q & A

  • What is the first step to change clothes using SeaArt AI?

    -The first step is to open the cart, click generate, and then remove the autogenerated image description and auto-selected model.

  • Which model is used to create the image in the provided script?

    -The model used is 'epic realism'.

  • What is the significance of the denoising strength value in the image generation process?

    -The denoising strength value determines how close the generated image will be to the original one, with a lower value resulting in a closer resemblance.

  • What is the sampling method used in the script?

    -The sampling method used is 'Oiler'.

  • How does the partial repainting tool work in SeaArt AI?

    -The partial repainting tool allows you to paint over areas you want to change in the image.

  • What prompt is used to generate a blue summer dress in the script?

    -The prompt used is 'blue summer dress' with a maximum image quantity for more variation.

  • Why would you want to open the generation settings and create again after generating images?

    -You might want to do this to make changes to the generated images, such as replacing the dress with a leather jacket and skirt.

  • How can you specify the color of the clothes in the generated image?

    -You can specify the color by increasing the noising value, which makes the result more independent of the original image and allows your prompt to have more influence.

  • What is the role of the noising value when you want to control the color and shape of clothing?

    -A higher noising value allows for more control over the color and shape of the clothing, as it makes the output less dependent on the original image.

  • How can you fix issues like hands disappearing in the generated image?

    -You can fix such issues by decreasing the noising value to retain more details from the original image.

  • What tool is suggested to use for more precise control over color and shape of clothing in the image?

    -Photopea, a free online Photoshop clone, is suggested for more precise control using the brush tool and color selection.

  • How does the final step of the process ensure that the colors in the result image are closer to the original?

    -The final step involves setting the noising value to a lower number, such as 0.41, to make the colors in the result image closer to the original colors.

Outlines

00:00

🎨 Image Editing Process Overview

The first paragraph describes the process of editing an image using a specific model called 'epic realism'. The user removes the autogenerated image description and selects a lower denoising strength value to ensure the generated image closely resembles the original. The sampling method used is 'Oiler'. The video also covers the use of a partial repainting tool to make desired changes, such as altering the dress to a blue summer dress and increasing the image quantity for more variation. The user then demonstrates how to adjust settings to improve the image, including changing the dress to a leather jacket and skirt, and fine-tuning the noising value to control the color and shape of the clothing.

Mindmap

Keywords

💡SeaArt AI

SeaArt AI is the subject of the video, an AI tool that is used to change clothes in images. It is the central technology around which the video's instructions and demonstrations are based. The video provides a step-by-step guide on how to utilize SeaArt AI for altering clothing in a photograph, showcasing its capabilities and ease of use.

💡Autogenerated image description

An autogenerated image description is a text that is automatically generated by AI to describe the content of an image. In the context of the video, the user removes this description as it is deemed unnecessary for the task of changing clothes in the image using SeaArt AI.

💡Denoising strength value

The denoising strength value is a parameter in the AI model that determines how much the generated image will resemble the original one. A lower value results in a closer resemblance to the original image, while a higher value allows for more deviation. In the video, the user adjusts this value to achieve the desired level of similarity between the generated and original images.

💡Sampling method

The sampling method refers to the technique used by the AI to generate the image. In the video, the sampling method mentioned is 'Oiler,' which is likely a specific algorithm or process within the AI tool that affects the quality and style of the generated image.

💡Partial repainting tool

The partial repainting tool is a feature within SeaArt AI that allows users to manually edit specific areas of an image. The video demonstrates using this tool to change the clothing items in the image, such as replacing a dress with a leather jacket and skirt.

💡Prompt

In the context of AI image generation, a prompt is a text input that guides the AI in creating the desired image. The video mentions using prompts like 'blue summer dress' to instruct the AI on what type of clothing to generate.

💡Maximum image quantity

Maximum image quantity refers to the number of variations or different images that the AI can generate based on the given prompt. The video mentions setting this to maximize the number of variations, which provides the user with more options to choose from.

💡Leather jacket and skirt

These are specific clothing items that the user wants to replace the original dress with in the image. The video demonstrates how to use the partial repainting tool to make this change, showcasing the versatility of SeaArt AI in altering clothing.

💡Noising value

The noising value is a parameter that controls the level of randomness or variation introduced into the generated image. A higher noising value results in a more independent result from the original image, allowing for greater creative control. The video discusses adjusting this value to specify the color of the clothes.

💡Photopea

Photopea is a free online image editor mentioned in the video as an alternative tool to further refine the image after using SeaArt AI. It allows users to manually paint and adjust the colors and shapes of the clothing items in the image.

💡CR AI tutorials

CR AI tutorials refer to a collection of instructional videos or guides on using AI tools for image manipulation, specifically those related to changing clothes in images. The video suggests that there is a playlist available with all the tutorials, indicating a broader learning resource for users interested in this topic.

Highlights

Removing the autogenerated image description is crucial for customization.

Replacing the auto-selected model with 'Epic Realism' for high-quality image generation.

Adjusting denoising strength to control the fidelity to the original image.

Choosing the Oiler sampling method for the generation process.

Using the partial repainting tool to make targeted changes on the image.

Prompting with 'blue summer dress' for specific clothing generation.

Increasing image quantity for more variations in the output.

Discarding the last image with an extra hand as it doesn't meet the criteria.

Resetting generation settings to introduce new clothing items like a leather jacket and skirt.

Selecting areas for partial repainting to change the dress with new clothing items.

Setting a lower noising value to reduce artifacts and achieve a cleaner output.

Increasing the noising value to allow more influence from the prompt for color specification.

Using photo editing tools like Photoshop to manually adjust clothing colors and shapes.

Adding a red and pink color to the dress and a white ribbon for a customized look.

Saving the edited image to be used in the 'Cart Image to Image' section for further processing.

Using the partial repainting tool to select the entire dress for uniform color application.

Setting the noising value to 0.41 to achieve colors closer to the original while maintaining output quality.

Addressing color shifts, such as turning pink into almost red, to ensure the final output meets expectations.

The importance of watching the tutorial for a comprehensive understanding of using SeaArt AI for clothing changes.