Fix Deformed Generations
Deformed generations, particularly on human body parts (e.g. hands, feet), are a common issue with many models. This can be dealt with to some extent with good negative prompts1Blake. (2022). With the right prompt, Stable Diffusion 2.0 can do hands. https://www.reddit.com/r/StableDiffusion/comments/z7salo/with_the_right_prompt_stable_diffusion_20_can_do/ . The following example is adapted from this Reddit post.
Example
Using Stable Diffusion v1.5 and the following prompt, we generate a nice image of Brad Pitt, except for his hands of course!

Prompt

Using a robust negative prompt, we can generate much more convincing hands.

Prompt

Using a similar negative prompt can help with other body parts as well. Unfortunately, this technique is not consistent, so you may need to attempt multiple generations before getting a good result. In the future, this type of prompting should be unnecessary since models will improve. However, currently it is a very useful technique.
Notes
Improved models such as Protogen are often better with hands, feet, etc.
Footnotes
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Blake. (2022). With the right prompt, Stable Diffusion 2.0 can do hands. https://www.reddit.com/r/StableDiffusion/comments/z7salo/with_the_right_prompt_stable_diffusion_20_can_do/ β©
Sander Schulhoff
Sander Schulhoff is the Founder of Learn Prompting and an ML Researcher at the University of Maryland. He created the first open-source Prompt Engineering guide, reaching 3M+ people and teaching them to use tools like ChatGPT. Sander also led a team behind Prompt Report, the most comprehensive study of prompting ever done, co-authored with researchers from the University of Maryland, OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions. This 76-page survey analyzed 1,500+ academic papers and covered 200+ prompting techniques.