Feature Proposal: Enable Seed Parameter for Veo & Nanobanana

[seiya-n21]

Hi team, thank you always for your amazing work and support!
I have a feature request that would greatly help our long-term use of this tool.

🙏 Feature Request: Seed Value Support for Veo & Nanobanana

Currently, on Google Cloud, it seems that Nanobanana does not allow specifying a seed value, which is causing difficulties when reproducibility is needed.
Additionally, it would be very helpful if Veo could also support a seed parameter to improve reproducibility of generated results.

We plan to use this tool for the long term, and seed control is essential for stable iteration, debugging, and content verification.

💡 Suggested Specification

A seed value is automatically and randomly generated on each generation

The seed is stored in Firebase together with the prompt and metadata

When working with Google review/guarantee processes, having both prompt + seed improves traceability and reproducibility

🙇 Request

If possible, could you consider implementing this feature?
It would make a huge difference in our workflow, and we would be truly grateful.

Thank you very much for taking the time to review this request!
Please let me know if any additional details would be helpful.

[github-actions]

🤖 Hi @seiya-n21, I've received your request, and I'm working on it now! You can track my progress in the logs for more details.

[ghchinoy]

hi @seiya-n21 ! Great request - Veo does support a seed parameter so this is something we can look to surface in the UI.
I do not believe gemini 2.5 image generation supports a seed, but I will check the docs!

[tbs-nakamoto]

@ghchinoy

Hi!
Thanks for checking this so quickly!

Here is an example showing that Gemini 2.5 Flash Image(Nano Banana) does support a seed parameter in the API.

Reference:
https://docs.cloud.google.com/vertex-ai/generative-ai/docs/multimodal/content-generation-parameters?hl=en#seed

    client = genai.Client(
        vertexai=True,
        project="**"
    )
    print("genai.Client initialized successfully.")
  except Exception as e:
    print(f"Error initializing genai.Client: {e}")
    return

  model = "gemini-2.5-flash-image"
  contents = [
    types.Content(
      role="user",
      parts=[
          types.Part.from_text(text="""banana""")
      ]
    )
  ]

generate_content_config = types.GenerateContentConfig(
    temperature = 1,
    seed = 42,
    top_p = 0.95,
    max_output_tokens = 32768,
    response_modalities = ["IMAGE"],
    safety_settings = [
        types.SafetySetting(category="HARM_CATEGORY_HATE_SPEECH", threshold="OFF"),
        types.SafetySetting(category="HARM_CATEGORY_DANGEROUS_CONTENT", threshold="OFF"),
        types.SafetySetting(category="HARM_CATEGORY_SEXUALLY_EXPLICIT", threshold="OFF"),
        types.SafetySetting(category="HARM_CATEGORY_HARASSMENT", threshold="OFF"),
    ],
)