Character Introduction: <a target="_blank" rel="ugc" href="https://civarchive.com/posts/11758171">https://civarchive.com/posts/11758171</a>In canon lore, he is a dominant and broody boy. But I don't own the porn, so you should lewd him up however you want!<hr />Loose instruction for V1.1 both Pony and Illustrious Versions:Works best around 0.5-0.7 LoRA Strength for the stereotypical wolfboy looks. Lower strength when working with multiple LoRAs.Higher CFG (4-7) for simple scenes, including solo, portrait, and teasing poses.Lower CFG (3-4) for complex scenes, including duo focus, sex, or with multiple people.Sampler: Euler a or DPM++ 2M Karras. Though I find better success with different model checkpoints.Breaks at Realism Checkpoints.It is serviceable for now, but I recommend Hi-Res Fix if you have the means to do so.Improving progress has been slow, but here we go.<hr />Keywords (V1.1+) for both Pony and Illustrious:<pre><code>Ak3ru, wolf boy, animal ears, wolf ears, wolf tail with white tip, amber eyes, black hair, animal ear fluff, bangs</code></pre>Secondary keywords:<pre><code>penis, testicles, flaccid, foreskin, erection, anus, parted bang, fangs, perfect teeth, muscular, toned male</code></pre>Other appropriate themes:<pre><code>male focus, yaoi, twink, 1boy, 2boys, solo focus, nude, collar, glossy, kemonomimi, pet play, bondage, restrained</code></pre>Dataset: 62 images, taggedTraining Params are at the end of this model page.<hr />Version History:v1.0 Pony (outdated): Has a lot of glitch-y and burn-in effectsKeywords (partially outdated): Akeru, wolf boy, animal ears, wolf ears, wolf tail, amber eyes, black hair, animal ear fluff, bangs, white tail tip<hr /><h1 id="this-is-a-cry-for-help!-k5cem4v2w">This is a cry for help!</h1>This is my first attempt at creating a character LoRA. I followed a few tutorials, but it's still not producing the correct results.My original purpose is to make a simple LoRA to easily depict an athletic wolf boy with:<ul><li>Amber eyes</li><li>Black hair</li><li>White tail tip</li></ul>With just these three requirements, I hoped to generate him and my other OC fox boy (Sota) together in a scene more easily. However, based on the initial testing, I feel like this one is missing the mark. I must be doing something wrong and have high expectations!If you are a character LoRA creator/guru and would like to help me, please feel free to reach out! Thank you!<hr />Dataset: 62 images, taggedTraining Params (For V1.1E20 Pony):<pre><code>{
 "engine": "kohya",
 "unetLR": 0.0005,
 "clipSkip": 2,
 "loraType": "lora",
 "keepTokens": 3,
 "networkDim": 32,
 "numRepeats": 4,
 "resolution": 1024,
 "lrScheduler": "cosine",
 "minSnrGamma": 0,
 "noiseOffset": 0.1,
 "targetSteps": 1260,
 "enableBucket": true,
 "networkAlpha": 32,
 "optimizerType": "Adafactor",
 "textEncoderLR": 0.00005,
 "maxTrainEpochs": 20,
 "shuffleCaption": true,
 "trainBatchSize": 4,
 "flipAugmentation": false,
 "lrSchedulerNumCycles": 3
}</code></pre>Training Params (For V1.1E20 Illustrious):<pre><code>{
 "engine": "kohya",
 "unetLR": 0.0005,
 "clipSkip": 2,
 "loraType": "lora",
 "keepTokens": 3,
 "networkDim": 32,
 "numRepeats": 4,
 "resolution": 1024,
 "lrScheduler": "cosine_with_restarts",
 "minSnrGamma": 5,
 "noiseOffset": 0.1,
 "targetSteps": 1260,
 "enableBucket": true,
 "networkAlpha": 16,
 "optimizerType": "Adafactor",
 "textEncoderLR": 0.00005,
 "maxTrainEpochs": 20,
 "shuffleCaption": true,
 "trainBatchSize": 4,
 "flipAugmentation": false,
 "lrSchedulerNumCycles": 3
}</code></pre>

Akeru Arao (My OC/Your Average Wolfboy) - Pony and Illustrious

Double Cope: It's better than the previous Pony version...New data set, new tagging method, 110 images total.Since most images were genned with Sym-Pony, You should use lower LoRA strength (&lt;0.5) when generate with Sym-pony, Prefect Pony or WAI-PonyXL.Again, it's better... OverdosingTraining Params:{ "engine": "kohya", "unetLR": 0.0005, "clipSkip": 2, "loraType": "lora", "keepTokens": 3, "networkDim": 32, "numRepeats": 5, "resolution": 1024, "lrScheduler": "cosine", "minSnrGamma": 0, "noiseOffset": 0.03, "targetSteps": 2200, "enableBucket": true, "networkAlpha": 32, "optimizerType": "Prodigy", "textEncoderLR": 0.00005, "maxTrainEpochs": 20, "shuffleCaption": true, "trainBatchSize": 5, "flipAugmentation": false, "lrSchedulerNumCycles": 3}

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