This model will produce a picture that is a closeup POV ???????. It works best with descriptive phrases with a strength of .75 to 1.25. Depending on the prompt, reducing to .75 will produce a more accurate photo. It was trained at various frontal and diagonal angles, and while it does best at straight on, it seems to handle some angles. It also will produce decent pictures without the main trigger word as long as one or more of the trigger phrases are used. The less detailed the description the worse the picture. It does have some strangeness such as with the football cheerleader photo, when I use the word football jersey it tended to create a football ????? or ????? in a football about 1/3 the time.Example:A woman with long, dark hair and a fair skin tone is kneeling on a wooden floor, looking up at the camera. She has a slender build and is wearing a turquoise bikini top, which is partially visible. Her eyes are closed, and her lips are wrapped around the base of a man's ????? ????? giving him a frontview_bj.beragis
Description
This model will produce a picture that is a closeup POV ???????. It works best with descriptive phrases with a strength of .75 to 1.25. Depending on the prompt, reducing to .75 will produce a more accurate photo. It was trained at various frontal and diagonal angles, and while it does best at straight on, it seems to handle some angles. It also will produce decent pictures without the main trigger word as long as one or more of the trigger phrases are used. The less detailed the description the worse the picture. It does have some strangeness such as with the football cheerleader photo, when I use the word football jersey it tended to create a football ????? or ????? in a football about 1/3 the time.Example:A woman with long, dark hair and a fair skin tone is kneeling on a wooden floor, looking up at the camera. She has a slender build and is wearing a turquoise bikini top, which is partially visible. Her eyes are closed, and her lips are wrapped around the base of a man's ????? ????? giving him a frontview_bj.beragis
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Same model published on other platforms. May have additional downloads or version variants.
