
Woman in gold gown standing before city window at dusk
Prompt
A woman stands confidently with her arms crossed in front of a large window overlooking a city skyline at dusk. Subject: A woman with long dark wavy hair and a confident expression looking directly at the camera. Clothing: She wears a shimmering gold off-the-shoulder gown that hugs her figure, featuring a draped neckline and sparkling sequin texture. Action: Her arms are crossed tightly over her chest in a protective or contemplative pose, with her body angled slightly away from the window but her face turned forward. Environment: The setting is an indoor space with a floor-to-ceiling glass window behind her, revealing a blurred cityscape and water in the distance under a dusky blue sky. Camera: The shot is taken at eye level with a medium framing that captures the subject from head to toe, utilizing a shallow depth of field to keep the woman sharp while softening the background into bokeh. Lighting: Soft ambient light fills the scene, highlighting the sparkle on her dress and casting gentle shadows that define her silhouette against the darker interior. Style Details: The image has a cinematic, editorial quality with a cool color temperature in the background contrasting with the warm gold tones of the subject's attire.
Category
Tags
How to use
Generate a new image
- Copy the prompt and paste it into your preferred image model.
- Adjust details like subject, lighting, or style if needed.
- Generate and iterate to refine the result.
- Works best with models that support detailed natural language prompts, such as Gemini, Grok, ChatGPT, Flux, or Z-Image.
Edit your uploaded image
- Upload your image in a model like Gemini, Grok or ChatGPT.
- Paste the edit prompt into the text box and submit.
- Review the result, most edit prompts work out of the box.
- If needed, tweak the prompt and repeat until you get the desired output.
- Note: In our testing, Gemini and Grok tend to give better results for edits.
Related Prompts
More prompts with similar categories and tags.