Photorealistic portrait of woman in red slip dress against white background

Photorealistic portrait of woman in red slip dress against white background

Prompt

A woman with dark hair styled in a sleek updo gazes downward with a serene expression. Subject: A woman with fair skin and dark brown hair pulled back into a neat bun, featuring defined eyebrows, subtle eye makeup, and soft lips. Clothing: She wears a satin red slip dress with thin spaghetti straps and a draped neckline, accessorized with large gold hoop earrings and a gold ring on her finger, while holding a plush red fur coat open around her shoulders. Action: The subject stands in a three-quarter pose looking down and to the side, holding the collar of her fur coat with one hand near her waist. Environment: A bright white background that suggests strong backlighting or a window setting. Camera: Medium shot framing the upper body from the chest up, utilizing a soft focus effect on the edges. Lighting: High-key lighting with a strong backlight creating a glowing rim light around the hair and shoulders, casting the face in soft shadow. Style Details: Photorealistic portrait with warm color grading and a dreamy, ethereal atmosphere.

Category

PeoplePortraitFashion

Tags

RealisticFemaleAdultFair SkinBrunetteMedium Shot

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.