<h3 id="heading-156"><u><span style="color:rgb(250, 176, 5)">About</span></u><span style="color:rgb(250, 176, 5)">:</span></h3><p>Hello, here I am again.</p><p>The purpose of this model is to generate images from the POV of a man while the woman is in doggystyle.</p><p><span style="color:rgb(193, 194, 197)">It was trained in 768x768, using captions and 258 images.</span></p><p>This one was pretty much like hitting the jackpot, the total opposite of my 'Plowcam'. In two days, I managed something that took me almost a month of hammering away at without achieving the result I wanted. 🙄</p><p>For this, I put together the dataset, with almost double the number of images I usually use, did a quick clean-up of the watermarks, and didn't fine-tune the tags one by one.</p><p>The photos weren't even in high resolution yet, but I wanted to test if the model had a future before spending my time on that.</p><p>Despite everything, the result was incredible, even the backgrounds turned out good, without looking like some distorted random shit. That's why I decided to share it before even the final version is ready.</p><p>The next step now is to increase the quality and resolution of the photos and to fine-tune the tags.</p><p>The only apparent problem of this LoRA is that sometimes it seems like the man doesn't have legs below the knee. 🥲</p><p>DO NOT FORGET THE DASHES IN PROMPT if you want to replicate the images I did.</p><p><strong><span style="color:rgb(250, 82, 82)">The demo images aren't edited, but they are cherry-picked and generated in A1111 WebUI (v1.8 RC), using hires-fix (0.25 ~ 0.6 denoising), 4x_NMKD-Siax_200k (or 4x-UltraSharp) upscaler, extra noise multiplier (0.05) and hypertile (max-depth 3, max tile size 512 and swap size 3).</span></strong></p><p>I have no idea how the hypertile parameters work, I just know that the photos apparently look better.</p><h3 id="heading-157"><u><span style="color:rgb(250, 176, 5)">Suggested Settings for Inference</span></u><span style="color:rgb(250, 176, 5)">:</span></h3><p><strong><span style="color:rgb(130, 201, 30)">Model:</span></strong> <a target="_blank" rel="ugc" href="https://civitai.com/models/153568?modelVersionId=289073">realDream_11</a></p><p><strong><span style="color:rgb(130, 201, 30)">Positive:</span></strong> woman, man, fucking-pov, ass, penis &lt;lora:<strong><span style="color:rgb(21, 170, 191)">Fucking_POV_by_IsnAI</span></strong>:<strong><span style="color:rgb(76, 110, 245)">1</span></strong>:<strong><span style="color:rgb(250, 82, 82)">0.7</span></strong>)</p><p><strong><span style="color:rgb(130, 201, 30)">Negative:</span></strong> (<a target="_blank" rel="ugc" href="https://civitai.com/models/116230/bad-hands-5">bad-hands-5</a>, asymmetry, asymmetrical-shapes, snap-fingers, HD-logo, bodily-deformities, 3D-rendering)</p><p><strong><span style="color:rgb(130, 201, 30)">Sampler:</span></strong> DPM++ 2M Karras</p><p><strong><span style="color:rgb(130, 201, 30)">Steps:</span></strong> 28</p><p><strong><span style="color:rgb(130, 201, 30)">CFG:</span></strong> best results with 5</p><p><strong><span style="color:rgb(130, 201, 30)">Resolution:</span></strong> 768x768</p><p><strong><span style="color:rgb(130, 201, 30)">LoRA Weights:</span></strong> <strong><span style="color:rgb(76, 110, 245)">1</span></strong>:<strong><span style="color:rgb(250, 82, 82)">0.7</span></strong></p><p><strong><span style="color:rgb(250, 82, 82)">Note¹:</span></strong> <span style="color:rgb(209, 213, 219)">As you can see, the LoRA tag has two weights: </span>&lt;lora:<strong><span style="color:rgb(21, 170, 191)">Fucking_POV_by_IsnAI</span></strong>:<strong><span style="color:rgb(76, 110, 245)">1</span></strong>:<strong><span style="color:rgb(250, 82, 82)">0.7</span></strong>)<br /><strong><span style="color:rgb(250, 82, 82)">This is a feature of the A1111</span></strong><span style="color:rgb(209, 213, 219)"> (</span><em><span style="color:rgb(209, 213, 219)">which many people aren't aware of</span></em><span style="color:rgb(209, 213, 219)">), but you can set separate weights for the UNet and the Text Encoder. The TE is always a pain in the ass to get the training right, so it's usually better to reduce its weight in the inferences rather than having it undertrained.</span></p><p><strong><span style="color:rgb(250, 82, 82)">Note²:</span></strong><span style="color:rgb(209, 213, 219)"> You will see big variations in style and images depending on the base model used and minor adjustments in resolution.</span></p><p><strong><span style="color:rgb(250, 82, 82)">Note³: </span></strong>If your images are getting weird and bizarre, you probably didn't reduce the TE weight. If you aren't using A1111 WebUI, you can do the common weight reduction: &lt;lora:<strong><span style="color:rgb(21, 170, 191)">Fucking_POV_by_IsnAI</span></strong>:<strong><span style="color:rgb(250, 82, 82)">0.7</span></strong>), but you will need to test which weight will suit better.</p><h3 id="heading-158"><u><span style="color:rgb(250, 176, 5)">Triggers</span></u><span style="color:rgb(250, 176, 5)">:</span></h3><p><strong><span style="color:rgb(130, 201, 30)">Main Tags Used on Training: </span></strong>woman, man, fucking-pov, ass, penis</p><p><strong><span style="color:rgb(130, 201, 30)">Secondary Tags Used on Training:</span></strong> None yet</p>
Public
SD 1.5
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Success
2024-03-01T17:10:59.327Z
Model
Success
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Alpha
2024-03-01T17:10:59.855Z
woman, man, fucking-pov, ass, penis
Fucking POV by IsnAI
photorealistic porn action fetish from behind doggystyle woman sex man vaginal sexual fantasy fucking pov