Large seabird soaring through clear blue sky from a low angle view - AI generated image prompt sample

Large seabird soaring through clear blue sky from a low angle view - AI Image Prompt

Produces a large seabird soaring through clear blue sky from a low angle view image with lifelike fur textures, expressive detail, and natural habitat context. Compatible with ChatGPT, Gemini, Grok, Flux, Z-Image and other models that work with natural language prompts.

Prompt

A large seabird with dark wings and a pale chest soars through the air against a clear blue sky.

Subject: A large seabird featuring expansive dark brown wings, a long pointed beak, and a contrasting pale yellowish-white neck and chest.

Action: The bird is captured mid-flight with its wings fully extended in a gliding posture.

Environment: An open expanse of solid, cloudless blue sky serves as the background.

Camera: A low-angle shot looking up at the bird from below, emphasizing its silhouette against the sky.

Lighting: Bright natural sunlight illuminates the scene, highlighting the texture of the feathers and casting soft shadows within the wing folds.

Style Details: High-contrast photography with sharp focus on the subject and a clean, vibrant color palette.

Tags

AnimalFull BodyLow AngleNatureOutdoorsRealistic

How to use

Generate a new image

  1. Copy the prompt and paste it into your preferred image model.
  2. Adjust details like subject, lighting, or style if needed.
  3. Generate and iterate to refine the result.
  4. Works best with models that support detailed natural language prompts, such as Gemini, Grok, ChatGPT, Flux, or Z-Image.

Edit your uploaded image

  1. Upload your image in a model like Gemini, Grok or ChatGPT.
  2. Paste the edit prompt into the text box and submit.
  3. Review the result, most edit prompts work out of the box.
  4. If needed, tweak the prompt and repeat until you get the desired output.
  5. Note: In our testing, Gemini and Grok tend to give better results for edits.

Related Prompts

More prompts with similar categories and tags.