If you searched for nanobannana troubleshooting, you are likely seeing inconsistent results or confusing artifacts. This guide explains the most common problems and gives direct, repeatable fixes.
Important clarification: Nano Bannana is our product name and domain. "Nano Banana" is a name used for Google DeepMind's Gemini 2.5 Flash Image model. Nano Bannana is an independent service and is not affiliated with Google or Google DeepMind.
Before you change the prompt, identify the primary symptom:
- The subject looks different in each image
- Random text or logos appear
- Lighting and color drift between versions
- The image looks soft or low quality
- The composition is wrong for the use case
Once you know the symptom, the fix is usually simple.
Why it happens: the prompt lacks stable identity details or the style line changes.
Fix:
- Repeat key identity descriptors (shape, color, material)
- Use a reference image when identity must stay constant
- Lock the style line and lighting line
- Change only one variable at a time
Why it happens: the model fills empty space with letters by default.
Fix:
- Add a hard constraint line: "no text, no letters, no watermark"
- Repeat the constraint at the end of the prompt
- Keep backgrounds clean and simple
Why it happens: lighting is not fixed in the prompt, or a new style line was added.
Fix:
- Add a lighting lock line and keep it unchanged
- Avoid mixing lighting terms like "soft daylight" and "dramatic shadows"
- If you need a new lighting mood, create a new base prompt
Why it happens: the prompt does not specify palette or material detail.
Fix:
- Include explicit palette notes in the style line
- Use reference images that show brand colors
- Avoid vague color words like "nice" or "beautiful"
Why it happens: the prompt lacks clarity or the output intent is missing.
Fix:
- Add clear output intent: "high detail, photorealistic, ecommerce quality"
- Simplify the prompt and remove conflicting descriptors
- Generate a small batch and pick the sharpest base image
Why it happens: the prompt does not define framing or copy safe space.
Fix:
- Add composition notes: centered subject, copy safe space on right
- Specify the aspect ratio or placement intent
- Generate a small set and compare outputs side by side
Why it happens: too many props or vague scene description.
Fix:
- Use a clean background or minimal props
- Describe the background in one sentence
- Reserve empty space for text when needed
Why it happens: edit prompts do not repeat identity constraints.
Fix:
- Start edit prompts with "keep the subject exactly the same"
- Describe only the change you want
- Avoid combining edits in a single step
Why it happens: too many random iterations without a clear base prompt.
Fix:
- Limit previews to 3 to 6 options
- Choose one base prompt and refine from it
- Track generations and approvals for each project
Why it happens: prompts do not reflect the brand style or tone.
Fix:
- Convert brand voice into visual cues (calm, bold, playful)
- Create a brand kit with palette and lighting rules
- Use the same style lock across the campaign
Why it happens: the prompt lacks a distinct style or material cue.
Fix:
- Add one signature element (material, lighting note, or texture)
- Use a short visual vocabulary from your brand kit
- Avoid vague descriptors like "nice" or "cool" and be specific
Why it happens: composition guidance is missing or contradictory.
Fix:
- Specify copy safe space in the composition line
- Add "clean background" and "minimal props" to reduce clutter
- Generate a small set and pick the best layout before refining details
Use this short checklist before you regenerate:
- Did I keep the style lock unchanged?
- Did I include a clear subject identity line?
- Did I include constraints (no text, no watermark)?
- Did I change only one variable since the last version?
- Did I state the output intent and placement?
If any item is missing, fix it first.
Sometimes the fastest fix is to restart:
- The direction changed from minimal to cinematic
- The subject changed or the product updated
- The campaign moved to a new audience or channel
In those cases, create a new base prompt rather than patching the old one.
Q1: Why do my images look different every time?
A: You are likely changing too many variables or missing a style lock. Lock the style line and change only one variable.
Q2: How do I stop random text from appearing?
A: Add explicit constraints and repeat them in every prompt and edit.
Q3: Should I use reference images for every job?
A: Use them when identity matters. For simple concepts, a strong prompt is enough.
Q4: How do I know if the prompt is the problem?
A: If results drift, the prompt is unclear. Simplify it and remove conflicting signals.
Q5: Where can I find editing templates?
A: /nano-bannana-image-editor and /nano-banana-prompts provide structured templates.
- /nanobannana (brand navigation)
- /nanobannana-quickstart (fast start guide)
- /nanobannana-prompt-framework (prompt structure)
- /nanobannana-workflow-for-teams (team workflow)
- /nano-bannana-consistency (consistency guide)
- /nano-bannana-image-editor (edit workflow)
- /nano-bannana-brand-kit (brand kit guide)
- /ai-image-generator (generate images)
- /pricing (plans and credits)
Nanobannana troubleshooting is simple when you use a structured process: diagnose the symptom, lock style lines, change one variable at a time, and keep constraints in every prompt. This approach fixes most issues without wasting credits.
- /nanobannana-quickstart
- /nano-bannana-consistency
- /ai-image-generator