Arafed woman in a red swimsuit standing in front of a pool


A blond woman in a red swimsuit is standing elegantly next to a pool. The woman, who appears to be around 70 years old, is wearing a retro swimsuit that adds a vintage charm to the scene. Her swimsuit is wet, indicating that she might have just come out of the water. The red color of her swimsuit contrasts beautifully with her blond hair, creating a visually striking image. The focus of the prompt is on the woman and the swimsuit she is wearing. It is important to emphasize the details of her appearance, such as her facial features and body proportions. Mentioning "beautiful detailed eyes," "beautiful detailed lips," and "extremely detailed eyes and face" will ensure that Stable Diffusion generates a woman with well-defined facial features. To enhance the overall image quality, it is essential to include tags related to image resolution and realism. Begin the prompt with "(best quality,4k,8k,highres,masterpiece:1.2),ultra-detailed,(realistic,photorealistic,photo-realistic:1.37)." These tags indicate that the output should be of high resolution, with an emphasis on ultra-detailed and realistic representation. Consider incorporating additional details to make the scene more vivid and complete. These could include tags like "sparkling water," "lush greenery," or "clear blue sky." These details will help create a rich and immersive environment surrounding the woman and the pool. In terms of art style, you can add tags like "portrait," "fine art," or "fashion photography" to enhance the overall artistic feel of the generated image. These tags will guide Stable Diffusion to create an image with a specific style or genre. To control the color tone and lighting of the image, include tags like "warm tones," "soft lighting," or "golden hour." These tags will help establish the desired atmosphere and mood for the scene. Remember to keep the prompt within the specified limits of 40 tags and 60 words. Use English words or phrases to describe the elements of the scene and m
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A blond woman in a red swimsuit is standing elegantly next to a pool
.
The woman
,
who appears to be around 70 years old
,
is wearing a retro swimsuit that adds a vintage charm to the scene
.
Her swimsuit is wet
,
indicating that she might have just come out of the water
.
The red color of her swimsuit contrasts beautifully with her blond hair
,
creating a visually striking image
.
The focus of the prompt is on the woman and the swimsuit she is wearing
.
It is important to emphasize the details of her appearance
,
such as her facial features and body proportions
.
Mentioning "beautiful detailed eyes
,
" "beautiful detailed lips
,
" and "extremely detailed eyes and face" will ensure that Stable Diffusion generates a woman with well-defined facial features
.
To enhance the overall image quality
,
it is essential to include tags related to image resolution and realism
.
Begin the prompt with "(best quality
,
4k
,
8k
,
highres
,
masterpiece:1
.
2)
,
ultra-detailed
,
(realistic
,
photorealistic
,
photo-realistic:1
.
37)
.
" These tags indicate that the output should be of high resolution
,
with an emphasis on ultra-detailed and realistic representation
.
Consider incorporating additional details to make the scene more vivid and complete
.
These could include tags like "sparkling water
,
" "lush greenery
,
" or "clear blue sky
.
" These details will help create a rich and immersive environment surrounding the woman and the pool
.
In terms of art style
,
you can add tags like "portrait
,
" "fine art
,
" or "fashion photography" to enhance the overall artistic feel of the generated image
.
These tags will guide Stable Diffusion to create an image with a specific style or genre
.
To control the color tone and lighting of the image
,
include tags like "warm tones
,
" "soft lighting
,
" or "golden hour
.
" These tags will help establish the desired atmosphere and mood for the scene
.
Remember to keep the prompt within the specified limits of 40 tags and 60 words
.
Use English words or phrases to describe the elements of the scene and m
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Checkpoint & LoRA

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DreamShaper
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