The model underwent adjustments fine-tuning, extraction, and merging with other trained lora to enhance its performance. It was trained with generated images to learn specific attributes, including lowkey, portrait, happy, solo, cheerful, and the ability to look at the viewer with a score of 1.2. Training also encompassed elements like low key lighting, cinematic light, sidelighting, and characteristics associated with a dark room, night setting, washed color, and shadow. Emphasis was placed on skin texture, small skin pores, and film grain at a value of 1.3, along with warm hue and tone adjustments. Ultra-high resolution and optimal shadow details in RAW format were prioritized. The model also acquired attributes related to hair, such as brown color, length, and style, as well as descriptors like beautiful, pretty, and streaming. Additionally, the model incorporated features inspired by Sandra Chevier, an influencer artist style whose images are used in the mid-journey image generation of Lora training for image generation, thus creating a particularly an Asian woman with long reddish-brown hair, wearing a medium tank top, in a light and picturesque setting featuring gold accents. but the facial features it can be adjusted with additional prompt

Portrait Character

Bounty Work , consistent Character , with great look

HourGlassAnime.safetensors

Hourglass

Aesthetic

LV2.6-Glamour

Anime Girl , Hot Hentai woman, Adult Cartoon , Nude Bikini and Sexy wear Spring Collection Character , Trained and Fine Tune Lora

Sexy Anime Outfit

Could be young and sexy or could be mature or could be chubby milf you adore , hot sexy asian girl is waiting for you get your prompt crafting skill this is as easy for the beginner ready for your fantasy dream girl , I was going to upload all 10 epoch but not sure let me know , 102 Generated Images "unetLR": 0.0005,
 "clipSkip": 1,
 "loraType": "lora",
 "keepTokens": 1,
 "networkDim": 8,
 "numRepeats": 17,
 "resolution": 1024,
 "lrScheduler": "cosine_with_restarts",
 "minSnrGamma": 5,
 "targetSteps": 8755,
 "enableBucket": true,
 "networkAlpha": 2,
 "optimizerArgs": "weight_decay=0.1",
 "optimizerType": "AdamW8Bit",
 "textEncoderLR": 0.00005,
 "maxTrainEpochs": 10,
 "shuffleCaption": true,
 "trainBatchSize": 2,
 "flipAugmentation": true,
 "lrSchedulerNumCycles": 3

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