Fix Bad Looking AI Hands & Fingers Using FREE Tools Like Fooocus AI
In this video we will be seeing how to fix AI generated hands and fingers using free AI tools like Fooocus AI (Stable Diffusion), Adobe Firefly AI and Flux AI Inpainting. Sometimes we will be have to use these tools together to achieve the final results. Here’s the video:
Video Summary
This tutorial by Kush Sharma from Creative Pad Media explains how to correct anatomical errors in AI-generated hands and fingers using a variety of free and specialized tools.
Key Tools and Strategies:
- Refining Details (Fooocus AI): For minor issues like blurry fingernails or skin texture, use the “Improve Detail” method in Fooocus [03:21]. Instead of masking the entire hand, only paint over the specific problem areas to maintain the original structure [02:46].
- Structural Changes (Adobe Firefly): Firefly is often more effective for major corrections, such as adding a missing finger or entirely replacing a hand [05:27]. Masking a larger area and using a specific prompt (e.g., “female hand holding a bottle”) helps the AI generate a coherent new structure [06:01].
- Fixing Finger Counts: For removing extra fingers, masking the area and leaving the prompt empty often allows the AI’s internal logic to fix the error more naturally than a text-based instruction [08:11].
- Advanced Problem Solving (Flux AI): For highly complex scenarios like handshakes or folded fingers where other tools struggle, the Flux in-painting model (via flux-ai.pro) offers superior anatomical realism [15:27].
- Multi-Step Workflow: Professional results often require a two-step process: first achieving the correct basic structure with an aggressive in-paint, and then using the “improve detail” method to polish the final image [07:04].
The video concludes that fixing AI hands is a process of trial and error, often requiring multiple generations to achieve a perfect result [11:31].
Important Links
Link to the video which shows you how to set up Fooocus AI on your computer using Google Colab:
Link to download the images shown in the video:
