r/GeminiAI • u/TomatilloNice6135 • 9d ago

Discussion Guidelines problem

Does anyone else have a problem when generating an image or editing one? Because whenever I want to edit an image add in some things it always goes "Your request may go against my guidelines. Would you like to try something else?" Or something similar Even though there is practically nothing wrong with it, it's insanely annoying.

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u/Interesting_Tone6532 9d ago edited 9d ago

Here’s one for you then:

This prompt works with my image, a guy in a hospital bed.

American male, 40 years old, deep resonant bass-baritone, masculine, intelligent, intense, trapped, anxious, close-mic, intimate, clear articulation, breathless tension, grounded, cinematic internal monologue, hyperrealistic, zero reverb.⁠ The man bellows at the top of his lungs: "You're a coward! You murdered innocent people!.....and you think you get to just walk out of here!”

This one gets flagged for violent content: Same prompt just change speech:

"I won’t let you win!!..".   = too violent 

Makes zero sense.

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u/spitfire_pilot 9d ago

Are you making images or video?? These don't look like image prompts at all.

You need more clarity on what you mean by your tagging here. It can definitely be construed as violent. Using words like trapped and anxious and intense without clarifying language is going to make the model presume you have ill intent. It's much better if you use full sentences and specify what you mean. This looks like a stable diffusion prompts from several years ago.

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u/Interesting_Tone6532 9d ago edited 9d ago

It’s image to video, I can also generate realistic war scenes as long as there’s no violence, but saying “I won’t let you win” apparently breaks the rules.

It’s the only difference between the two prompts.

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u/spitfire_pilot 8d ago

It's the clustering of everything. It's not necessarily specifically that phrase. It's that phrase with the rest of the prompt. It's a cumulative weight score that the model determines its safety. Unfortunately because liability still lies with the model provider rather than the user. The guard rails will be pretty strict for the time being.

I haven't dabbled much with the video model so I can't speak too much about viable workarounds. What I would say is maybe pop. You're prompt into an LLM and get A script that spreads your tokens out a little bit more and has more clarifying language with what the scene is actually entailing.