Stable Diffusion - BAD AI Hands and Ways to Fix Them - Fooocus

Kleebz Tech AI
23 Feb 202413:23

TLDRIn the video, Rodney from Kleebz Tech discusses techniques to improve the depiction of hands in AI-generated images using Fooocus and stable diffusion. He suggests using negative prompts like 'Uncle Jack Kelly' to avoid common AI hand errors and recommends avoiding hands when possible or hiding them in the image. For fixing visible hands, he advises using inpainting and out-painting tools, starting with basic structure correction before refining details. Rodney emphasizes the importance of limiting hand interactions with objects and keeping hand actions simple for better AI rendering. Despite challenges with side angles and complex interactions, he offers a step-by-step guide to achieving more realistic hands in AI-generated images.

Takeaways

  • 🎨 When generating images with AI, hands can be problematic due to their high detail density and small size in the image.
  • 🚫 Using negative prompts like 'Uncle Jack Kelly' can sometimes improve hand results, but it's not a guaranteed fix.
  • 👐 Avoiding the depiction of hands in the prompt can simplify the image generation process, as the AI won't need to render hands.
  • 🖐️ If hands must be included, try to limit their interaction with other objects and keep their position natural and simple.
  • 🌟 Inpainting tools in Fooocus can be effective for fixing hand issues, but require patience and multiple attempts.
  • 🔍 Start with basic inpainting to establish a correct hand structure before using 'improve detail' for refinement.
  • 📸 Use the same seed for multiple attempts to maintain consistency in the image series.
  • 🛠️ Sometimes, a combination of inpainting and 'improve detail' is needed to achieve better results.
  • 💧 Weather elements like rain can add complexity to the rendering of hands, making them more challenging to fix.
  • 🖌️ For final touches, consider using external software like Photoshop to manually refine the details of the hands.
  • 🔄 Due to the limitations of current AI training data and image resolutions, there is no perfect solution for rendering hands.

Q & A

  • What is the main issue with AI-generated hands in images?

    -The main issue with AI-generated hands is that they often have high detail density but take up a very small part of the image, making it difficult for the AI to accurately depict the hands due to the limited pixels it has to work with.

  • Why might adding 'Uncle Jack Kelly' to the negative prompt improve hand generation?

    -It is suggested as a humorous negative prompt, possibly due to an inside joke or observation from the creator's experience, although it is acknowledged that it might not always work.

  • What is the recommended approach when you don't need to show hands in an image?

    -The recommended approach is to avoid including hands in the image or to hide them when possible, as this eliminates the need for fixing any issues with the hands.

  • Why does mentioning 'hands behind back' in the prompt often result in images with visible hands?

    -AI interprets the words in the prompt literally, so mentioning 'hands' and 'back' will likely lead to images showing a person with their back turned and their hands visible.

  • How can you improve the visibility of hands in an image using inpainting?

    -You can use the regular inpainting tool to first create a decently structured hand with the right number of fingers and without distortion. After that, switch to the 'improved detail' feature to refine and finish the hand.

  • What is the downside of using 'improve detail' on a hand that has a structural issue?

    -Using 'improve detail' on a hand with structural issues like extra or missing fingers will only make those issues more noticeable without actually fixing them. The hand needs to have a proper basic structure for 'improve detail' to enhance it effectively.

  • Why is it advised to limit the interaction of hands with other objects in an image?

    -The complexity of the hands' action directly impacts the difficulty of creating convincing hands. Interactions like grasping objects or clasping fingers are challenging for the AI to work with, so avoiding them makes the process easier.

  • What is one strategy to deal with the difficulty of generating hands from a side angle?

    -One strategy is to position the hand in a way that makes it easier for the AI to generate, such as turning the hand so it faces more directly towards the viewer, as the AI has a harder time with side angles.

  • How can rain or other environmental factors affect the AI's ability to generate hands?

    -Environmental factors like rain can make it more challenging for the AI to generate hands as it has to account for additional elements like water droplets, which can complicate the inpainting process.

  • What additional software might be useful for fine-tuning AI-generated images?

    -Software like Photoshop can be used to further tweak and refine the AI-generated images, especially for complex tasks like inpainting hands, to achieve the desired results.

Outlines

00:00

🤖 Challenges with AI-generated Hands

The paragraph discusses the common issue of AI-generated images with poorly rendered hands. The speaker, Rodney from Kleebz Tech, explains that the difficulty stems from the high detail density of hands and their small presence in the image, which makes it hard for AI to render them accurately. He suggests using negative prompts, such as excluding 'Uncle Jack Kelly,' to potentially improve results. Rodney also advises avoiding including 'hands' in the prompt if they are not necessary, as this may trigger the AI to include them even if the intention is to hide them. He shares a technique of inpainting to fix visible hands and emphasizes the importance of limiting hand interaction with other objects to reduce complexity for the AI.

05:02

🎨 Inpainting and Improving Hand Details

In this section, Rodney explains the process of using inpainting to correct AI-generated hands. He clarifies that using the 'improve detail' feature is not always effective, especially when the hand structure is incorrect. Instead, he recommends starting with regular inpainting to establish a proper hand structure before applying 'improved detail' to refine the appearance. Rodney demonstrates the process using Fooocus, showing how to mask the hand and give the AI 'wiggle room' to correct it. He also notes that certain hand positions, like those at the side, are more challenging for AI and may require further refinement in programs like Photoshop.

10:03

🌟 Final Touches and Tips for Better AI Hands

Rodney concludes the video by summarizing the process of fixing AI-generated hands. He emphasizes the importance of starting with regular inpainting to achieve a decent hand structure before refining details. He also mentions that factors like rain can complicate the process, but with patience and the right techniques, significant improvements can be made. Rodney suggests that for the best results, one might need to export the image and make final adjustments in a program like Photoshop. He acknowledges that there is no perfect solution yet for AI-generated hands and encourages viewers to experiment with different approaches to achieve the desired outcome.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is a type of AI model used for generating images from textual descriptions. In the context of the video, it is used to create visual content, but the presenter notes that it often struggles with accurately depicting hands, which is a common issue in AI-generated images.

💡AI Hands

AI Hands refers to the artificial intelligence's attempt at creating hand images, which is often problematic due to the complexity and detail of human hands. The video provides tips on how to improve or avoid issues with AI-generated hands in images.

💡Negative Prompt

A Negative Prompt is a technique used in AI image generation where certain words or phrases are specified not to appear in the generated image. The video suggests using 'Uncle Jack Kelly' in the negative prompt to improve hand results, albeit humorously, as it doesn't actually solve the problem.

💡Detail Density

Detail Density refers to the amount of intricate details packed within a small area of an image. Hands have high detail density due to their complex structure and the small size they occupy in images, making it difficult for AI to accurately render them.

💡Training Data

Training Data consists of the images and examples used to teach the AI how to generate new content. The quality and resolution of the training data significantly influence the AI's output. The video mentions that most training data for AI models like SDXL are based on 1024 x 1024 images, which often lack the detail needed to accurately depict hands.

💡Inpainting

Inpainting is a technique used to edit or fix parts of an image by filling in missing or incorrect areas with new content that matches the surrounding context. In the video, inpainting is used to correct issues with AI-generated hands.

💡Interaction with Objects

Interaction with Objects refers to the depiction of hands interacting with other elements in the image, such as holding or grasping. The complexity of these interactions increases the difficulty for AI to accurately generate convincing hand positions and actions.

💡Improve Detail

Improve Detail is a feature in image editing that enhances the clarity and resolution of specific parts of an image. In the context of the video, it is used as a step in fixing AI-generated hands, but only after a basic structure has been established through regular inpainting.

💡Trial and Error

Trial and Error is a methodological approach to problem-solving where one attempts different solutions and learns from the results, making adjustments as necessary. In the video, the presenter emphasizes the need for trial and error when fixing AI-generated hands, as there is no perfect solution.

💡Photoshop

Photoshop is a widely used image editing software that provides advanced tools for manipulating and enhancing images. The video suggests using Photoshop for further refinement of AI-generated images, especially for complex tasks like fixing hands with raindrops.

Highlights

Rodney from Kleebz Tech discusses tips for dealing with bad AI hands in Fooocus and stable diffusion.

Using 'Uncle Jack Kelly' in the negative prompt can improve hand results.

AI struggles with hands due to their high detail density and small size in images.

Training data for AI is often low resolution, making hand details difficult to render.

Avoid mentioning 'hands' in prompts to prevent AI from generating them incorrectly.

Hiding hands in images can be a solution if they are not necessary for the scene.

Negative prompts don't always work consistently for hand generation.

Inpainting in Fooocus is effective for fixing hands with proper basic structure.

Improving detail in inpainting can enhance hands but won't fix structural issues.

Limiting hand interaction with objects and other hands reduces complexity for AI.

AI has difficulty rendering hands from side angles.

Regular in-painting and out-painting should be used before improved detail.

Trial and error are necessary when working with AI-generated hands.

Using improved detail after basic structure is achieved can refine hand rendering.

Additional manual touch-ups in software like Photoshop may be required for perfect results.

There is no perfect solution for AI-generated hands, and it's a challenge due to training data limitations.

The process of fixing AI hands involves a combination of inpainting, out-painting, and improving detail.

The video provides a detailed demonstration of the process for fixing bad AI hands.