<h3 id="1.-setup-and-initialization">1. Setup and Initialization</h3>The process began on September 8, 2025, at 06:01:09 AM, when the training job was submitted. The system, running on an NVIDIA CUDA device, quickly created a dedicated workspace for the job.The training was configured using the <code>kohya</code> engine, a popular tool for fine-tuning Stable Diffusion models. The system loaded key settings from a <code>training_config.toml</code> file, including:<ul><li>Learning Rate: A <code>unetLR</code> of <code>0.0005</code> and a <code>textEncoderLR</code> of <code>0.00005</code>, which controls how quickly the model's parameters are updated.</li><li>Optimizer: <code>Adafactor</code> was chosen as the optimization algorithm.</li><li>Model Type: The <code>networks.lora</code> module was imported, confirming that a Low-Rank Adaptation (Lora) model was being trained.</li><li>Dataset: The dataset consisted of 34 images, each with a corresponding <code>.txt</code> caption file. The captions were formatted as simple tags.</li></ul><h3 id="2.-training-execution">2. Training Execution</h3>The training loop began, with the system calculating its total steps and batches.<ul><li>Batches and Epochs: The training used a <code>trainBatchSize</code> of 4 images per step. With 34 images and a <code>num_repeats</code> of 58, the total number of training images was <code>34 * 58 = 1972</code>. This resulted in <code>495</code> batches per epoch and a total of <code>9900</code> optimization steps for 20 epochs.</li><li>Data Augmentation: To prevent the model from overfitting to the small dataset, data augmentation techniques were used. <code>flip_aug</code> (horizontal flipping of images) and <code>shuffle_caption</code> (randomizing the order of tags) were enabled.</li><li>Monitoring Progress: The <code>stdout</code> logs showed the training progressing epoch by epoch, saving a <code>safetensors</code> checkpoint file after each one. For example, <code>saving checkpoint: ...000001.safetensors</code> was logged after the first epoch.</li></ul><h3 id="3.-checkpointing-and-finalization">3. Checkpointing and Finalization</h3>As the training progressed, the system continuously saved its work.<ul><li>Intermediate Models: The <code>worker</code> logs show that the system was uploading intermediate models to the orchestrator. For example, at one point, it logged that it had "uploaded 7 models and 21 sample images so far."</li><li>Sample Image Generation: The logs also show the model generating sample images at various points using the prompts provided in the <code>sample-images.json</code> file. The prompts included phrases like "my father" and "my father and his friend just1n, kissing."</li></ul>The process concluded on September 8, 2025, at 02:31:17 PM, when the status was updated to <code>Ready</code>, indicating that the model was fully trained and the final <code>safetensors</code> file was available for use.

20250908-0154-another-midjourney-old-man

Subject and Identity<ul><li>Characters: <code>a well built obese bodybuilder</code>, <code>a hairy thick pectorals dad</code>, <code>old father rugged dad</code>, <code>a muscular middle-aged man</code></li><li>Attributes: <code>1boy</code>, <code>1man</code>, <code>solo male focus</code>, <code>male focus</code>, <code>bara</code>, <code>middle-aged</code>, <code>mature male</code>, <code>asian man</code></li></ul>Physical Appearance<ul><li>Body Type: <code>muscular</code>, <code>muscular male</code>, <code>beefy dadbod</code>, <code>strong upper body</code>, <code>thick</code>, <code>plump</code>, <code>fat</code>, <code>fat man</code>, <code>small belly</code>, <code>slightly overweight</code></li><li>Body Parts: <code>thick pectorals</code>, <code>large pectorals</code>, <code>hairy chested</code>, <code>hairy body</code>, <code>hairy arms</code>, <code>hairy legs</code>, <code>abs</code>, <code>stomach</code>, <code>navel</code>, <code>nipples</code>, <code>puffy nipples</code>, <code>armpit crease</code>, <code>hairy pubes</code>, <code>hairy small testicles</code>, <code>heavy balls</code></li><li>Facial Features: <code>short hair</code>, <code>black hair</code>, <code>grey hair</code>, <code>stubble</code>, <code>beard</code>, <code>mustache</code>, <code>thick eyebrows</code>, <code>open mouth</code>, <code>closed mouth</code>, <code>teeth</code>, <code>parted lips</code>, <code>lips</code>, <code>nose</code>, <code>brown eyes</code>, <code>green eyes</code></li></ul>Expressions and Actions<ul><li><code>looking at viewer</code>, <code>smirk</code>, <code>smile</code>, <code>grin</code>, <code>blush</code>, <code>neutral expression</code>, <code>confident expression</code>, <code>clenched teeth</code>, <code>squatting</code>, <code>standing</code>, <code>sitting</code>, <code>holding his cock with his hand</code>, <code>hand on hip</code>, <code>casual and confident pose</code></li></ul>Clothing and Accessories<ul><li><code>shorts</code>, <code>pants</code>, <code>black pants</code>, <code>white pants</code>, <code>grey shorts</code>, <code>gray pants</code>, <code>tuxedo</code>, <code>black tuxedo</code>, <code>suit</code>, <code>black suit</code>, <code>grey jacket</code>, <code>open clothes</code>, <code>open jacket</code>, <code>shirtless</code>, <code>topless male</code>, <code>white tank top</code>, <code>sleeveless shirt</code>, <code>bare shoulders</code>, <code>bare arms</code>, <code>ring</code>, <code>watch</code>, <code>smartwatch</code>, <code>black-framed eyewear</code>, <code>rimless eyewear</code></li></ul>Explicit Content (NSFW)<ul><li><code>nsfw</code>, <code>explicit</code>, <code>cock</code>, <code>horsecock</code>, <code>equinecock</code>, <code>thick flared equine-penis horsecock</code>, <code>erect cock</code>, <code>veins in cock</code>, <code>circumcised</code>, <code>uncircumcised</code>, <code>cock glans</code>, <code>cum on the tip of his cock</code>, <code>urethral fingering</code>, <code>urethral insertion</code>, <code>urethral bulge</code>, <code>nipple rings</code>, <code>pierced nipples</code>, <code>prince albert</code>, <code>PA piercing</code>, <code>PA chain</code></li></ul>Setting and Environment<ul><li>Location: <code>indoors</code>, <code>outdoors</code>, <code>in a room</code>, <code>bedroom</code>, <code>church</code>, <code>street</code>, <code>city</code>, <code>carnival</code>, <code>funfair</code>, <code>amusement park</code></li><li>Time and Weather: <code>daytime</code>, <code>night</code>, <code>night time</code>, <code>night sky</code>, <code>raining</code>, <code>overcast</code>, <code>wet street</code></li><li>Objects: <code>bed</code>, <code>sofa</code>, <code>curtains</code>, <code>window</code>, <code>desk</code>, <code>car</code>, <code>motor vehicle</code>, <code>ferris wheel</code>, <code>yellow crane</code>, <code>street lamp</code>, <code>street sign</code></li></ul>Photography Style and Details<ul><li><code>realistic</code>, <code>realistic photograph</code>, <code>candid</code>, <code>soft lighting</code>, <code>natural lighting</code>, <code>shallow depth of field</code>, <code>blurry background</code>, <code>rule of thirds</code>, <code>eye-level</code>, <code>medium shot</code>, <code>medium close-up</code>, <code>Canon EOS 5D Mark IV</code>, <code>Canon EOS 5D Mark III</code>, <code>smartphone camera</code>, <code>no watermark</code>, <code>no filters</code></li></ul>

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