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 for generating images with similar poses and features to a reference image. It highlights the efficiency of img2img in reducing the time spent on generating desired poses and features, and its utility in changing colors and correcting specific parts of an image. The presenter explains the process of using img2img, including selecting a reference image, entering prompts, and adjusting denoising strength for optimal results. The video also discusses the limitations of using the brush icon for color changes and recommends specifying changes directly in the prompt for better quality. Additionally, it touches on creating lip-syncing animations and the importance of maintaining the naturalness and quality of the original image.

Takeaways

  • 🎨 Use img2img to generate an image with a similar pose and features from a reference image.
  • 🚀 img2img is useful for refining poses, changing colors, and correcting specific parts of an image.
  • 📈 Denoise strength between 0.5 to 0.7 is recommended for a good finish when generating images.
  • 🔍 Open pose in SeaArt extracts only the pose, while img2img generates the pose along with the background and clothes.
  • 🖌️ When changing colors, specify it in the prompt instead of using the brush icon to maintain image quality.
  • 👁️ Changing eye color can be done more naturally by including it in the prompt rather than using the brush icon.
  • 💇 Adjusting denoise strength between 0.5 and 0.7 helps to maintain the original image's characteristics while changing colors.
  • 🚫 Avoid using the brush icon for specific part modifications as it can lead to quality deterioration.
  • 💬 For lip-syncing animations, mask only the mouth part using the brush icon for better natural results.
  • 📝 Always include quality-enhancing prompts like 'masterpiece, best quality' to maintain image quality.
  • 🌟 Subscribe to the channel for more tips on mastering img2img and creating high-quality images.

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 save time when trying to achieve a specific pose or feature through txt2img.

  • How does img2img differ from txt2img?

    -Img2img is used to generate an image from an existing image, focusing on similar poses and features, while txt2img is used to generate images based on text prompts without a visual reference.

  • What is the recommended denoising strength range for img2img?

    -The recommended denoising strength range for img2img is between 0.5 and 0.7, which tends to produce good image generation results.

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

    -To change the eye color, it is better to specify the color in the prompt rather than using the brush icon. This helps maintain the original image's quality and avoids discomfort.

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

    -Using the brush icon can sometimes lead to a decrease in image quality and unnatural results, whereas specifying changes in the prompt tends to yield more natural and higher quality images.

  • How can one change the color of specific parts like hair or clothes in img2img?

    -To change the color of specific parts, include the desired color in the prompt, such as 'blue hair'. Adjusting the denoising strength can help maintain the original image's characteristics while applying the color change.

  • What is the function of open pose in seaart?

    -Open pose in seaart has a function to extract only the pose, whereas img2img generates not only the pose but also the background and clothes.

  • Why is it not recommended to use the brush icon for specific part corrections?

    -Using the brush icon for specific part corrections can cause the image to collapse and the quality to deteriorate, making it less effective than specifying changes in the prompt.

  • How can one create a lip-syncing animation video using img2img?

    -One can create a lip-syncing animation video by using the brush icon to mask only the mouth part or by specifying 'open-mouth' in the prompt with an appropriate denoising strength.

  • 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 results in an image that is more distinct from the original.

  • What are some tips for maintaining the quality of the original image when using img2img?

    -To maintain the quality of the original image, it is recommended to adjust the denoising strength between 0.5 and 0.7, and to specify changes in the prompt rather than using the brush icon.

  • How can one subscribe to the channel for more content like this?

    -To subscribe to the channel, viewers would typically look for a 'Subscribe' button on the video platform hosting the video, which would allow them to receive updates on new content.

Outlines

00:00

🎨 Introduction to img2img: Enhancing Image Generation

This paragraph introduces the concept of img2img, a method for generating images from existing images to achieve desired poses and features. It discusses the utility of img2img in not only replicating poses but also altering colors and making specific adjustments to an image. The speaker emphasizes the time-saving aspect of using img2img over repeatedly generating images with txt2img until the desired result is achieved. The paragraph also provides a step-by-step guide on how to use img2img, including selecting a reference image, entering prompts, and adjusting denoising strength for optimal results. A comparison image is presented to illustrate the effectiveness of img2img in generating images with similar poses to the reference image.

05:02

🖌️ Modifying Images with img2img: Techniques and Tips

The second paragraph delves into techniques for modifying specific parts of an image using img2img. It covers the use of a brush tool to change details like eye color and the importance of using quality-enhancing prompts to maintain image quality. The paragraph discusses the limitations of the brush tool, such as the potential for quality degradation and unnatural outcomes. It then offers an alternative approach of specifying color changes directly in the prompt for better results. The concept of denoising strength is introduced, explaining how different settings can impact the degree of change from the original image. The paragraph concludes with advice on achieving natural-looking modifications and a demonstration of generating an image with an open mouth, highlighting the difference between img2img and other methods like open pose in seaart.

10:02

📢 Conclusion and Call to Action

The final paragraph serves as a conclusion to the video script, summarizing the capabilities of img2img for quick and efficient image generation, color changes, and specific part modifications. It cautions against overusing the brush tool due to the risk of quality loss and suggests specifying modifications in the prompt instead. 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 used to generate an image from another image, allowing for the creation of a new image with poses and features similar to a reference image. It is a crucial tool for artists and designers as it can save time by not requiring the generation of multiple images until the desired pose or feature is achieved. In the video, it is used to illustrate how one can generate images with similar poses or to make specific changes such as color adjustments.

💡pose

A pose refers to the particular way in which a person or object is positioned or arranged in the image. In the context of the video, poses are important as they dictate the physical arrangement of the subject in the generated images. The script discusses how img2img can be used to replicate a desired pose from a reference image.

💡reference image

A reference image is a pre-existing image that serves as a guide or template for generating a new image with img2img. It is used to maintain consistency in poses, features, and sometimes even background elements in the newly created image. The video emphasizes the importance of selecting an appropriate reference image to achieve the desired outcome.

💡denoising strength

Denoising strength is a parameter in img2img that determines how much the generated image will differ from the reference image. A lower value will result in an image closer to the original, while a higher value allows for more deviation. The video provides a recommended range of 0.5 to 0.7 for achieving a good balance between similarity and uniqueness.

💡color change

Color change involves altering the hues of specific elements within an image, such as hair or eyes. The video script provides examples of how to change eye color using both direct prompts and the brush tool, discussing the pros and cons of each method and how to achieve a more natural result.

💡brush icon

The brush icon in the context of img2img is a tool that allows users to manually edit specific parts of an image. However, the video advises against its use for certain tasks, like changing eye color, as it can lead to a decline in image quality and unnatural results.

💡negative prompt

A negative prompt is a directive given to the img2img system to avoid generating certain features or qualities in the new image. For instance, using phrases like 'worst quality' can help to omit low-quality image generation. The video mentions negative prompts as a way to refine the image generation process.

💡model prompt

A model prompt is a set of instructions or descriptors provided to the img2img system to guide the generation of the new image. It includes details about the desired features, style, and other elements that should be present in the final image. The video emphasizes the importance of entering accurate and specific model prompts.

💡lip-syncing animation

Lip-syncing animation is a technique where the mouth movements in an animated video are synchronized with the audio, often used to create a more realistic and engaging viewer experience. The video touches on this concept when discussing how img2img can be used to generate images suitable for such animations.

💡open pose

Open pose is a feature within the SeaArt platform that allows for the extraction of just the pose from an image, without the background or clothing. The video contrasts this with img2img, where the entire image, including the background and clothing, is regenerated along with the pose.

💡quality-enhancing spell

A quality-enhancing spell refers to specific phrases or words added to the model prompt that aim to improve the quality of the generated image. Examples given in the video include 'masterpiece' and 'best quality'. These spells are used to guide the img2img system towards producing higher quality results.

Highlights

img2imgを使用すると、参照画像と同じポーズと特徴を持つ画像を生成できます。

txt2imgはよく使われますが、img2imgは画像から画像を生成する方法です。

参照画像と似たポーズで画像を生成したい場合や、生成された画像の髪型や服の色を変えたい場合に使います。

img2imgは、想定されたポーズや特徴を何度も生成しなくても済むため、時間を節約できます。

img2imgを使用する場合、上部のAIイラスト生成ボタンを押して、左側のimg2imgを押して参照したいポーズ画像を選択・アップロードします。

ノイズ除去強度が小さすぎると、元の画像と同じになります。大きすぎると、ポーズが元の画像から離れ、全く異なる画像が生成されます。

ノイズ除去強度は0.5から0.7の範囲で設定すると良い仕上げが得られます。

open poseはポーズだけを抽出できますが、img2imgではポーズだけでなく背景や服も画像生成されます。

ブラシアイコンを使って特定の部分を変えることはできますが、画像の質が下がる可能性があるためお勧めしません。

ブラシアイコンを使って絵を修正する場合は、目の部分だけでなく顔全体を覆う方が効果的です。

ブラシアイコンを使って色を変えるのではなく、プロンプトで指定する方が質を維持した上での良い仕上げが得られます。

目の色を変更する場合、ノイズ除去強度を0.5から0.7の間で調整すると良い結果が得られます。

リップシンク動画を作成する際は、ブラシアイコンを使って口の部分だけをマスクすると自然な仕上がりが得られます。

img2imgは、想定されたポーズや特徴を素早く作成し、色を変更したり特定の部分を修正することができます。

修正する部分が崩れやすくなりますので、できるだけブラシアイコンは使わず、プロンプトで指定して修正することが推奨されます。

プロンプトで指定するだけで、自然な仕上がりが得られ、質も維持されます。

ブラシアイコンを使った場合、塗られた部分の外側の輪郭が不自然になるため、画像の質が下がる可能性があります。

img2imgをマスターすれば、思い描くポーズや特徴を持つ画像を素早く作成し、色を変更したり特定の部分を修正することができます。

Casual Browsing

【Stable Diffusion】画像から画像を作成するimg2imgの使い方について解説

2024-04-16 14:20:01

【Midjourney使い方】神画像生成AIのスマホからNFT商用利用についても解説

2024-04-05 19:35:01

Stable Diffusionで手の指を修正するプロンプト呪文やDepth Libraryの使い方について解説

2024-04-16 12:35:01

Stable Diffusion 画像からプロンプトにしてくれる拡張機能『tagger』の導入と使い方【自作LORA】

2024-04-16 14:30:02

【Stable-Diffusion】🔰画像から動画！動画から動画！AnimateDiff解説＜応用編＞ #stablediffusion #Animatediff #prompttravel

2024-04-12 17:40:01

【操作画面の解説txt2img】分かりやすくStableDiffusionWebUIのパラメータの上手な使い方を説明。画像生成AIイラスト[automatic1111]

2024-04-21 12:55:01