A simple concept that I could not do it right with SDXL Recommended weight is 0.85‎ / Good from 0.6 up to 1.3 ‎It generalizes quite well for humans and even objects. Try it out.Trigger Keyword:<pre><code>a photo shot in the point of view from the back of a SUBJECT's head</code></pre>Supporting prompts:<pre><code>on the lower side, cropped, looking at___, ears, bokeh, dof, blur</code></pre>Negative supporting prompts:<pre><code>mouth, nose, eyes, facing the camera, bokeh, dof, blur</code></pre> ‎The dataset was not big and had only animals and one or two bike. So, some animals will be hard to turn like snakes, ostrich, pigs, turtles...I choose epoch 18, but for some subjects a more trained epoch worked better and manage to turn them better. But introduced more errors, so IMO this one is the best. I might upload a more trained epoch if anyone wants.Just and example, with this epoch Pikachu red cheeks will always look wrong. Epoch 24 and epoch 40 turned him super well. A mouse ear will also look like it's facing the wrong direction while on epoch 40 it looks correct.This is a "POV", "over the shoulder shot", but I did not use those exact words on the training, I used "point of view". So I don't know if they help or not.They migh occupy the whole screen, if you want them only on the lower side I suggest to use Regional Prompter. I works super great. Also if you want to use it with other character Loras you should also use regional prompter or else they will morph.I hope in the future to increase the dataset and caption the position (right side, left side, bottom, upper side). But right now it is not, so it won't work.‎Other parameters and settings:‎The base checkpoint is the “sdXL_v10VAEFix” 6.7GB. So, it should be very flexible with any checkpoint.As of right now, I recommend <a target="_blank" rel="ugc" href="https://civarchive.com/models/133005/juggernaut-xl?modelVersionId=288982">juggernautXL_v8Rundiffusion</a> and <a target="_blank" rel="ugc" href="https://civarchive.com/models/245423?modelVersionId=288402">juggerxlInpaint_juggerInpaintV8</a> for inpaiting.‎Lighting models works great! I recommend <a target="_blank" rel="ugc" href="https://civarchive.com/models/112902?modelVersionId=354657">Dreamshaper SDXL</a>I prefer 6 steps with DPM++ 2S a Karras CFG 2.2 and high-res for 5 steps 0.45 denois and 1.5x res. But the default is DPM++ SDE Karras, CFG 2, 4 steps.The new Juggernaut lighting is probably excellent too.For standard generationCFG: 5.5DPM++ 3M Exponential (50 steps or more)DPM++ 2M Karras (25 Steps or more)DPM++ SDE KarrasDPM++ 2S a Karras‎‎<a target="_blank" rel="ugc" href="https://github.com/cheald/sd-webui-loractl">Loractl </a>works great if you want to have a more complex prompts, subjects or other Loras, start high and loose later. Like this:<pre><code>&lt;LoraName:0.85@0.33,0.4@0.33&gt;</code></pre>‎Want to have some “fun”? Install wildcards dynamic prompts extension <a target="_blank" rel="ugc" href="https://github.com/adieyal/sd-dynamic-prompts">https://github.com/adieyal/sd-dynamic-prompts</a> and my common_animals.txt to \extensions\sd-dynamic-prompts\wildcards: Here is a prompt I made for testing. Paste on prompt:<pre><code>a photo shot in the point of view from the back of a __common_animals__'s head close-up, on __YetAnotherWildcardCollection-main/Background/Environment__&lt;lora:HeadPOV_from_behind_vk1-000018:0.85&gt;</code></pre> ‎Problems with the current Lora:<ul><li>Might not turn a bunch of animals, needs more data</li><li>Sometimes double horns, weird ears and eyes, ears facing the camera</li></ul>Some more settings: Trained 1024 res. 61 images captioned with the help of CogVL and taggui-v1.15.0-windows. Epoch 18 of 44. now prodigy 1.0. 2 steps folder "Pose" as the concept. constant BATCH 2, rank 16/1,Scale weight norms 1, snr gamma 5, Noise offset 0.0357, no regularization imageHopefully you can leave some results and some comments. Any idea is appreciated. Thank you.

Head POV - Point of view from the back of the head - Camera over the shoulders - Animal Perspective

Epoch 18 out of 44. Recommended weight at 0.85.

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