𝐒𝐞𝐚𝐀𝐫𝐭で𝐢𝐦𝐠𝟐𝐢𝐦𝐠(画像から画像)の使い方について解説

AIジェネ【AIイラスト生成の情報発信】
26 Jul 202310:22

TLDRThe video provides a comprehensive guide on using the img2img feature to generate images with similar poses and features as a reference image. It explains the process of using img2img to avoid the time-consuming task of repeatedly generating images until the desired pose is achieved. The video also covers how to change the color of specific parts, such as eyes and hair, using both the brush tool and by including color specifications in the prompt. It emphasizes the importance of setting the denoising strength appropriately, recommending a range of 0.5 to 0.7 for a good finish. The video also discusses the difference between using the brush tool and specifying changes in the prompt, highlighting that the latter tends to yield more natural and higher quality results. It concludes with a demonstration of creating a lip-syncing animation and a reminder to subscribe for more content.

Takeaways

  • 🎨 Use img2img to generate an image with a similar pose to a reference image, which can save time compared to repeatedly generating images with txt2img.
  • 🖼️ img2img is not only for poses but also for changing colors and correcting specific parts of an image.
  • 📈 Set denoising strength between 0.5 to 0.7 for a good finish when generating images with similar poses.
  • 🔍 The open pose in SeaArt extracts only the pose, whereas img2img generates the pose along with the background and clothes.
  • 👁️ Change eye color using the prompt, specifying 'yellow eyes' for a more natural result without compromising quality.
  • 🖌️ Avoid using the brush icon for detailed changes like eye color as it can lead to quality degradation.
  • 🎨 When changing specific parts like eye color, it's better to use the prompt rather than the brush icon for a more natural and higher quality result.
  • 📊 Adjust denoising strength between 0.1 to 1 to control how close the generated image is to the original, with 0.5 being a balanced setting.
  • 💄 For changing specific parts like the mouth for lip-syncing, use the brush icon to mask only the mouth part for better results.
  • 📝 When generating images, it's recommended to specify changes in the prompt rather than using the brush icon to maintain quality and achieve a natural finish.
  • 🌟 img2img is a powerful tool for quickly creating images with desired poses and features, and for making color changes and specific modifications.

Q & A

  • What is the main purpose of using img2img?

    -The main purpose of using img2img is to generate an image with a similar pose and features as a reference image, which can also be used for changing colors and correcting specific parts of an image.

  • How does img2img differ from txt2img?

    -While txt2img is used to generate images from text descriptions, img2img is a method of generating an image from an existing image, focusing on maintaining similar poses and features.

  • What is the recommended denoising strength range for generating an image with a good finish?

    -The recommended denoising strength range for generating an image with a good finish is between 0.5 and 0.7.

  • How can one change the color of specific parts of an image using img2img?

    -One can change the color of specific parts by including a description of the desired color in the model prompt, rather than using the brush icon, which can lead to quality deterioration.

  • What is the difference between using the brush icon and specifying color changes in the prompt?

    -Using the brush icon to change specific parts can lead to a decrease in image quality and unnatural results. Specifying color changes in the prompt tends to produce more natural and higher quality images.

  • How can img2img be used to generate images for lip-syncing animation?

    -To generate images for lip-syncing animation, one can use the brush icon to mask only the mouth part or specify 'open-mouth' in the prompt without using the brush icon for better quality and natural results.

  • What is the effect of denoising strength on the generated image?

    -Denoising strength affects how closely the generated image resembles the original. A lower value results in an image closer to the original, while a higher value produces an image that is more distinct from the original.

  • Why is it not recommended to use the brush icon for color changes in img2img?

    -Using the brush icon can cause the image quality to deteriorate and the changes to appear unnatural. It is better to specify the desired changes in the prompt for a more refined and natural result.

  • What is the advantage of using img2img over generating images repeatedly with txt2img?

    -Img2img allows for the generation of images with desired poses and features in a more time-efficient manner, reducing the need to generate images repeatedly until the desired outcome is achieved.

  • How can one ensure a natural finish when changing the color of specific parts of an image?

    -To ensure a natural finish, it is recommended to specify the color changes in the prompt and avoid using the brush icon, which can lead to unnatural boundaries and quality degradation.

  • What is the significance of including quality-enhancing spells in the prompt when changing specific parts of an image?

    -Including quality-enhancing spells such as 'masterpiece' or 'best quality' in the prompt helps maintain or enhance the overall quality of the generated image, especially when making specific changes like color modifications.

  • How does the open pose function in seaart compare to img2img?

    -The open pose in seaart allows for the extraction of only the pose, whereas img2img generates not just the pose but also the background and clothes, providing a more comprehensive image generation.

Outlines

00:00

🎨 Introduction to Img2Img: Enhancing Image Generation

The first paragraph introduces the concept of img2img, which is an alternative to txt2img for generating images. It emphasizes the utility of img2img in creating images with desired poses, changing colors, and correcting specific parts efficiently. The video promises to teach viewers how to use img2img effectively to achieve a polished final image. The process involves selecting a reference image for the pose, entering prompts, and adjusting denoising strength to balance similarity with the original and uniqueness of the generated image.

05:02

🖌️ Modifying Images with Brushes and Prompts

The second paragraph delves into the techniques for changing specific aspects of an image, such as eye color, using both the brush icon and direct prompts. It discusses the limitations of using the brush icon, which can lead to quality deterioration and unnatural results. The paragraph suggests specifying changes through prompts rather than manual brushing for better quality. It also explores the concept of denoising strength, explaining how different settings can impact the final image's resemblance to the original, and provides tips for maintaining the original image's characteristics while making color changes.

10:02

📺 Conclusion and Call to Action

The third and final paragraph serves as a conclusion to the video script, summarizing the benefits of using img2img for efficient and quality image generation. It advises against excessive use of the brush icon for modifications and suggests specifying changes in the prompt for better results. The paragraph ends with a call to action, encouraging viewers to subscribe to the channel for more content.

Mindmap

Keywords

💡img2img

Img2img is a method of generating an image from an existing image, which is used to create images with poses and features similar to a reference image. It is a powerful tool for artists and designers as it not only helps in replicating desired poses but also in modifying specific parts of an image, such as changing the color of the hairstyle or clothes. In the video, it is emphasized that using img2img can save time by reducing the need to generate images repeatedly until the desired outcome is achieved.

💡pose

A pose refers to the particular way in which a person or object is positioned or arranged in a picture. In the context of the video, the importance of achieving an ideal pose using img2img is highlighted. It is mentioned that when a specific pose is desired, img2img can be used to generate an image with a similar pose by referencing a pose image, which is crucial for creating consistent and desired outcomes in image generation.

💡denoising strength

Denoising strength is a parameter in img2img that determines how much the generated image will differ from the original. A low value will result in an image that closely resembles the original, while a high value will lead to a more distinct and potentially different image. The video suggests that a recommended value for denoising strength is between 0.5 to 0.7 for a good finish, illustrating this with examples of how different settings affect the final image.

💡color change

Color change involves altering the hues in an image, such as changing the color of the eyes or hair. The video provides insights on how to effectively change colors using img2img, either by specifying the color change in the prompt or by using the brush icon for more precise control. It is noted that directly specifying the color change in the prompt tends to yield better results in terms of maintaining image quality.

💡specific parts

Refers to particular elements within an image that one might want to modify or enhance, such as the eyes, hair, or clothing. The video discusses the technique of changing specific parts of an image using img2img, cautioning against the use of the brush icon for such modifications as it can lead to a decline in image quality. Instead, it is recommended to specify the changes directly in the prompt for a more natural and higher-quality result.

💡txt2img

Txt2img is a process often used in conjunction with img2img, where an image is generated based on a textual description. The video mentions that while txt2img is commonly used, img2img offers a different approach by generating an image from another image, allowing for greater control over the final output, especially when it comes to replicating poses and making specific modifications.

💡brush icon

The brush icon in the context of img2img is a tool that allows for the manual selection and modification of specific parts of an image. The video explains that while the brush icon can be used for precise changes, it may sometimes lead to a decline in image quality or unnatural results. It is suggested that using the brush icon should be approached with caution and that specifying changes in the prompt is often a better approach.

💡lip-syncing animation

Lip-syncing animation is a technique where the mouth movements in a video are synchronized with the audio, typically used in animated videos or films. The video touches on the use of img2img for creating images suitable for lip-syncing animations, noting that changes made with the brush icon can affect the background and lead to unnatural results. Instead, the video suggests using the prompt to specify changes for a more natural and higher-quality outcome.

💡model prompt

A model prompt is a set of instructions or a description provided to an AI model to guide the image generation process. In the video, the model prompt is used in conjunction with img2img to generate images with specific features, such as changing the eye color or the pose of a subject. It is a crucial part of the process as it directly influences the outcome of the generated image.

💡negative prompt

A negative prompt is a directive used in the image generation process to exclude certain elements or qualities from the final image. The video discusses the use of negative prompts to avoid low-quality image generation, such as specifying 'worst quality, low quality' to prevent the AI from producing poor results. Negative prompts help refine the image generation process by eliminating unwanted attributes.

💡quality-enhancing spell

A quality-enhancing spell refers to additional phrases or words included in the model prompt to improve the quality of the generated image. The video mentions the use of phrases like 'masterpiece, best quality' as quality-enhancing spells to ensure that the generated images are of high quality. These spells are particularly important when making specific changes to an image, such as changing the eye color, to maintain the overall quality.

Highlights

Aicchi explains how to use img2img to generate an image with the same pose and features as a reference image.

Img2img is useful for generating images with similar poses, changing colors, and correcting specific parts.

The process of using img2img includes selecting a reference image, entering prompts, and adjusting denoising strength.

Denoising strength should be set between 0.5 to 0.7 for a good finish.

Img2img can generate images with the same pose as the reference image, even in open pose in SeaArt.

Open pose in SeaArt extracts only the pose, while img2img generates the pose, background, and clothes.

Changing the eye color using a brush can lead to quality deterioration.

It's recommended to cover the entire face when using the brush icon for corrections.

Specifying eye color in the prompt is a better method for maintaining image quality.

Denoising strength can be adjusted to change the eye color while maintaining the original image's characteristics.

Brush icon usage is discouraged when changing colors due to potential quality issues.

Adjusting denoising strength between 0.5 and 0.7 is recommended for changing colors while preserving the original image.

Using the brush icon for specific part changes can result in unnatural boundaries.

It's better to specify changes in the prompt for a more natural and higher quality result.

Creating lip-syncing animations can be achieved by using img2img with specific prompts and denoising strength.

When generating lip-syncing animations, it's better to mask only the mouth part for a natural look.

Img2img allows for quick creation of images with desired poses and features, as well as color changes and specific part modifications.

The video provides a comprehensive guide on mastering img2img for various image generation tasks.

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