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 POV by IsnAI

POV by IsnAI

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I can guide you with the best practices, tips, and tricks to achieve your goal in your Stable Diffusion training. Take a look at my Patreon, subscriptions for just $clusive content. Patreon. :)

About:Well, now let's talk about the model itself.

This v2 of POV should have been released at least two weeks ago, but after a conversation with @thegipper, he told me that I was mistaken in the order of the LoRA weights, it was the weight of the UNet being reduced, not the Text Encoder.

This led me back to parameter testing, and also in the meantime there were updates in Kohya that I also needed to adapt to.

The v2 isn't perfect, or much better than the first, but the quality of the images and the photorealism have improved considerably. It's possible to achieve good results without much fuss in the prompts, so much so that I've already good photos without even using negative prompts. Now, it's possible to achieve excellent photorealism with practically any base model (considering realistic models).

This version was trained using booru tags, and I tried adding the '', '-grab' and 'hand-on-another's-head' poses. It didn't work out very well, but with a bit of luck, it's possible to photos with them.

The initial dataset had 250 high-resolution photos enhanced with SD itself, but as I adjusted and eliminated photos that were potentially impairing training, it ended up being only 137, so this also contributed to significantly reducing the possibilities of poses.

I already have the photos for a future v3, which were chosen with much more precision so I won't need to remove them from the dataset later. It's probably going to take a while for me to release this next version because I've been trying to launch an ' POV' for over a month now and still haven't had time to adjust the photos and captions.

The demo images aren't edited, but they are cherry-picked and generated using hires-fix (0.25 ~ 0.5 denoising).

Suggested Settings for Inference:Model: epiCPhotoGasm (but works with 99% of models)

Positive: , , 1girl, 1boy, blunt-bangs, very-very-high-detailed, , trending-on-tumblr, 1 9 9 0, webcam <lora:BjPOV_v2_SD15_by_IsnAI:1>

Negative: lowres, worst-quality, low-quality

Sampler: DPM++ 2M Karras

Steps: 28

CFG: 6

Resolution: 512x768

Note¹: You can get great image variations if you tweak resolution a bit.

Note²: In this version, it's not necessary to reduce weight, it's perfectly possible to generate the images using weight 1 in LoRA (all demos use weight 1), but maybe someone with more patience can discover some interesting things that I didn't have time to test (I'm also not very creative with prompts).

Triggers:Main: 1girl, 1boy, , , first-person-pov

Tags Used on Training: looking-at-viewer, , , dark-skin, interracial, , hands-on-another's-head, hand-on-another's-head, teeth, glasses, sunglasses

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데이터 없음
I
IsnAI
7
119
모델과 대화하기
공고
2024-04-22
모델 게시
2024-07-18
모델 정보 업데이트
모델 상세정보
유형
LORA
게시 날짜
2024-02-01
기본 모델
SD 1.5
트리거 단어
woman, , open mouth, man,
복사
버전 소개

About:

This LoRA has the purpose to (try to) replicate a in POV angle.

Be careful, as it sometimes generates body horror and disembodied .

It was trained in 768x768, using captions and 157 high-resolution images.

Btw, I also have no idea why the come out so big, in the dataset they were big, but normal. 😂

The demo images aren't edited, but they are cherry-picked and generated using hires-fix (0.3 ~ 0.4 denoising).

Suggested Settings for Inference:

Model: icbinpICantBelieveIts_newYear (but works with 99% of models)

Positive: cute young little woman, pov, , brunette, , , open mouth, half-closed eyes, airbnb room, short hair, sidelocks, dripping sweaty, body sweat <lora:povBlowjob_sd15_by_IsnAI:1:0.7>

Negative: verybadimagenegative_v1.3

Sampler: DPM++ 2M Karras

Steps: 28

CFG: 5~6

Resolution: 768x768, 512x768 or 768x512

LoRA Weights: 1:0.7

Note¹: As you can see, the LoRA tag has two weights: <lora:povBlowjob_sd15_by_IsnAI:1:0.7)
This is a feature of the A1111 (which many people aren't aware of), but you can set separate weights for the UNet and the Text Encoder. The TE is always a pain in the to get the training right, so it's usually better to reduce its weight in the inferences rather than having it undertrained.

Note²: You can get great image variations if you tweak resolution a bit.

Triggers:

Main: woman, , open mouth, man, (or black )

Tags Used on Training: , pov, teeth, half-closed eyes, closed eyes, wide eyes, legs, indoors, outdoors, pubic hair, , glasses, fingers, hands, , feet, hand on head, , makeup, , sunglasses

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