20250908-0154-another-midjourney-old-man

20250908-0154-another-midjourney-old-man - V1

NSFW

1. Setup and Initialization

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 kohya engine, a popular tool for fine-tuning Stable Diffusion models. The system loaded key settings from a training_config.toml file, including:

Learning Rate: A unetLR of 0.0005 and a textEncoderLR of 0.00005, which controls how quickly the model's parameters are updated.
Optimizer: Adafactor was chosen as the optimization algorithm.
Model Type: The networks.lora module was imported, confirming that a Low-Rank Adaptation (Lora) model was being trained.
Dataset: The dataset consisted of 34 images, each with a corresponding .txt caption file. The captions were formatted as simple tags.

2. Training Execution

The training loop began, with the system calculating its total steps and batches.

Batches and Epochs: The training used a trainBatchSize of 4 images per step. With 34 images and a num_repeats of 58, the total number of training images was 34 * 58 = 1972. This resulted in 495 batches per epoch and a total of 9900 optimization steps for 20 epochs.
Data Augmentation: To prevent the model from overfitting to the small dataset, data augmentation techniques were used. flip_aug (horizontal flipping of images) and shuffle_caption (randomizing the order of tags) were enabled.
Monitoring Progress: The stdout logs showed the training progressing epoch by epoch, saving a safetensors checkpoint file after each one. For example, saving checkpoint: ...000001.safetensors was logged after the first epoch.

3. Checkpointing and Finalization

As the training progressed, the system continuously saved its work.

Intermediate Models: The worker 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."
Sample Image Generation: The logs also show the model generating sample images at various points using the prompts provided in the sample-images.json file. The prompts included phrases like "my father" and "my father and his friend just1n, kissing."

The process concluded on September 8, 2025, at 02:31:17 PM, when the status was updated to Ready, indicating that the model was fully trained and the final safetensors file was available for use.

Description

Subject and Identity

Characters: a muscular middle-aged man, a well built obese bodybuilder, a hairy thick pectorals dad, old father rugged dad, hairy old man, dad body, dilf, middle-aged man, asian man, everyday human
Attributes: 1boy, 1man, solo male focus, male focus, bara, middle-aged, mature male, chubby, plump, fat man, manly

Physical Appearance

Body Type: muscular, muscular male, beefy dadbod, hairy chested, strong upper body, thick, plump, fat, small belly, slightly overweight, hairy body, hairy arms, hairy legs, abs, six-pack abs, stomach
Body Parts: thick pectorals, large pectorals, hairy chested, hairy arms, hairy legs, hairy body, abs, stomach, navel, nipples, puffy nipples, armpit crease, hairy pubes, hairy small testicles, heavy balls, veins in cock, veiny arms, penis, balls, cock glans
Facial Features: short hair, black hair, grey hair, stubble, beard, mustache, thick eyebrows, open mouth, closed mouth, teeth, parted lips, lips, nose, brown eyes, green eyes, strong jawline, clean-shaven face, smooth skin

Expressions and Actions

looking at viewer, smirk, smile, grin, blush, neutral expression, confident expression, clenched teeth, squatting, standing, sitting, holding his cock with his hand, hand on hip, casual and confident pose, relaxed atmosphere, cheerful expression

Clothing and Accessories

shorts, pants, black pants, white pants, grey shorts, gray pants, tuxedo, black tuxedo, suit, black suit, grey jacket, open clothes, open jacket, shirtless, topless male, white tank top, sleeveless shirt, bare shoulders, bare arms, ring, watch, smartwatch, black-framed eyewear, rimless eyewear, sneakers, socks

Explicit Content (NSFW)

nsfw, explicit, cock, horsecock, equinecock, thick flared equine-penis horsecock, erect cock, circumcised, uncircumcised, cum on the tip of his cock, urethral fingering, urethral insertion, urethral bulge, nipple rings, pierced nipples, prince albert, PA piercing, PA chain

Setting and Environment

Location: indoors, outdoors, in a room, bedroom, bathroom, church, street, city, carnival, funfair, amusement park, living room
Time and Weather: daytime, night, night time, night sky, raining, overcast, wet street
Objects: bed, sofa, curtains, window, desk, car, motor vehicle, ferris wheel, yellow crane, street lamp, street sign, towels, sink, mirror, posters, wooden furniture, framed pictures

Photography Style and Details

Style: realistic, realistic photograph, candid, natural, unfiltered, casual, amateur shot, street photography
Technical: soft lighting, natural lighting, shallow depth of field, blurry background, rule of thirds, eye-level, medium shot, medium close-up, Canon EOS 5D Mark IV, Canon EOS 5D Mark III, Canon EOS Rebel T6, smartphone camera, no watermark, no filters, no jpeg artifacts, aperture, shutter speed, ISO