Here is the frequency of words found in the new set of documents, which consists of both a new set of image captions and a set of configuration and log files, separated by the delimiter ", ".

Word Frequencies:

• bara: 17

• penis: 17

• muscular male: 17

• male focus: 17

• nipples: 16

• muscular: 15

• large pectorals: 11

• nipple piercing: 10

• pectorals: 9

• navel: 9

• erection: 8

• short hair: 7

• chest hair: 6

• solo: 5

• 2boys: 4

• piercing: 4

• thighs: 4

• thick thighs: 4

• ring: 3

• jewelry: 3

• yao: 3

• old man: 3

• shirt: 3

• jacket: 3

• suit: 3

• old: 3

• black pants: 3

• pants: 3

• necktie: 3

• formal: 3

• white shirt: 3

• belt: 3

• kiss: 3

• leg hair: 3

• 1boy: 3

• multiple boys: 3

• fingering urethra: 3

• chain PA: 3

• PA insertion: 3

• chain insert in urethra: 3

• padlock insert: 3

• padlock PA: 3

• veins: 2

• digging urethra: 2

• black necktie: 2

• black jacket: 2

• collared shirt: 2

• closed mouth: 2

• black belt: 2

• abs: 2

• father and: 2

• hat: 2

• squatting: 2

• arm hair: 2

• male pubic hair: 2

• beach: 2

• swim briefs: 2

• black hair: 2

• kneeling: 2

• outdoors: 2

• sand: 2

• baseball cap: 2

• worker-r0.log: 2

• Training Start: 2

• Job ID: 2

• History: 2

• Submitted: 2

• Processing: 2

• Ready: 2

• Files: 2

• Labels: 2

• Label Type: 2

• Base Model: 2

• Privacy: 2

• Own Rights: 2

• Share Dataset: 2

• Dataset: 2

• Training Params: 2

• engine: 2

• unetLR: 2

• clipSkip: 2

• loraType: 2

• keepTokens: 2

• networkDim: 2

• numRepeats: 2

• resolution: 2

• lrScheduler: 2

• minSnrGamma: 2

• noiseOffset: 2

• targetSteps: 2

• enableBucket: 2

• networkAlpha: 2

• optimizerType: 2

• textEncoderLR: 2

• maxTrainEpochs: 2

• shuffleCaption: 2

• trainBatchSize: 2

• flipAugmentation: 2

• lrSchedulerNumCycles: 2

• sample_every_n_epochs: 2

• save_every_n_epochs: 2

• sample_prompts: 2

• lora: 1

• dataset_config.toml: 1

• image_dir: 1

• general: 1

• bucket_reso_steps: 1

• bucket_no_upscale: 1

• min_bucket_reso: 1

• max_bucket_reso: 1

• unet_lr: 1

• text_encoder_lr: 1

• network_module: 1

• optimizer_type: 1

• lr_warmup_steps: 1

• output_dir: 1

• logging_dir: 1

• master-0: 1

• node_type: 1

• gpu: 1

• count: 1

• job: 1

• model: 1

• assets: 1

• 20250719-544-man-finger-insert-midjourney: 1

• sample-images.json: 1

• prompt: 1

• manly old man: 1

• manly businessman: 1

• manly businessman with equinecock: 1

• stdout-r0.log: 1

• accelerator device: 1

• cuda: 1

• network module: 1

• networks.lora: 1

• prepare optimizer: 1

• data loader: 1

• decoupled weight decay: 1

• override steps: 1

• epochs: 1

• running training: 1

• num train images: 1

• repeats: 1

• num reg images: 1

• num batches per epoch: 1

• 1epoch: 1

• num epochs: 1

• batch size per device: 1

• gradient accumulation steps: 1

• total optimization steps: 1

• epoch: 1

• saving checkpoint: 1

• safetensors: 1

• Training Start: 1

• Jul 13, 2025: 1

• Job ID: 1

• ba6f2170-92f7-4043-8e82-07e482a6bd3a: 1

• History: 1

• Jul 13, 2025: 1

• Submitted: 1

• Jul 13, 2025: 1

• Processing: 1

• Jul 13, 2025: 1

• Ready: 1

• Files: 1

• Labels: 1

• Label Type: 1

• tag: 1

• Base Model: 1

• SDXL: 1

• Privacy: 1

• Own Rights: 1

• Share Dataset: 1

• Dataset: 1

• Training Params: 1

• engine: 1

• kohya: 1

• unetLR: 1

• clipSkip: 1

• loraType: 1

• keepTokens: 1

• networkDim: 1

• numRepeats: 1

• resolution: 1

• lrScheduler: 1

• minSnrGamma: 1

• noiseOffset: 1

• targetSteps: 1

• enableBucket: 1

• networkAlpha: 1

• optimizerType: 1

• textEncoderLR: 1

• maxTrainEpochs: 1

• shuffleCaption: 1

• trainBatchSize: 1

• flipAugmentation: 1

• lrSchedulerNumCycles: 1

• sample_every_n_epochs: 1

• save_every_n_epochs: 1

• sample_sampler: 1

• euler_a: 1

• max_token_length: 1

• lowram: 1

• max_data_loader_n_workers: 1

• persistent_data_loader_workers: 1

• save_precision: 1

• bf16: 1

• mixed_precision: 1

• output_dir: 1

• logging_dir: 1

• training_config.toml: 1

• additional_network_arguments: 1

• optimizer_arguments: 1

• learning_rate: 1

• cosine_with_restarts: 1

• optimizer_args: 1

• scale_parameter: 1

• False: 1

• relative_step: 1

• warmup_init: 1

• training_arguments: 1

• max_train_steps: 1

• civitai: 1

• api: 1

• Job workspace created: 1

• provided sample prompts: 1

• downloaded input: 1

• skipping age detection: 1

• pushed metrics: 1

• age detection thread complete: 1

• updated job: 1

• detection result: 1

• skip: 1

• starting train network: 1

• model: 1

• cache status: 1

• cache size: 1

• GB: 1

• pre-allocating cache space: 1

• GB: 1

• advertising assets: 1

• availability: 1

• Unavailable: 1

• cost: 1

• downloading model: 1

• models: 1

• download: 1

• downloading: 1

• downloaded: 1

• MB: 1

• %: 1

• seconds: 1

• putting model: 1

• asset cache: 1

• advertising worker assets: 1

• Available: 1

• checkpoint download thread completed: 1

• uploaded sample prompts: 1

• num_saved_epochs: 1

• upload_every_n_epochs: 1

• save_every_n_epochs: 1

• intermediate models: 1

• no seconds per iteration found: 1

• updating orchestrator: 1

• job not finished: 1

• sleeping: 1

• seconds: 1

• sample images: 1

• steps: 1

• estimated time to completion: 1

• hours: 1

• setting exif: 1

• image: 1

• treating as sample prompt: 1

• uploading intermediate model: 1

• took: 1

• upload took: 1

• uploading sample image: 1

• trainsettings: 1

• Pony: 1

Comparison to previous file set: The new file set is a combination of the previous two sets of files. Therefore, it contains words from both the image captions and the technical logs and configuration files.

New words/phrases present in this set but not the previous two: The file 468.txt contains a typo of digging urethra, which was also present in 274.txt and 476.txt. The previous documents included veins and short hair and pants, but the number of documents has expanded. A new set of logs and configuration files (preceded by uploaded:) has been included and contains the words/phrases such as Training Start, Job ID, History, Submitted, Processing, Ready, Files, Labels, Label Type, Base Model, Privacy, Own Rights, Share Dataset, Dataset, Training Params, engine, unetLR, clipSkip, loraType, keepTokens, networkDim, numRepeats, resolution, lrScheduler, minSnrGamma, noiseOffset, targetSteps, enableBucket, networkAlpha, optimizerType, textEncoderLR, maxTrainEpochs, shuffleCaption, trainBatchSize, flipAugmentation, and lrSchedulerNumCycles. The stdout-r0.log file introduces words like accelerator device, cuda, network module, networks.lora, prepare optimizer, data loader, decoupled weight decay, override steps, epochs, running training, num train images, repeats, num reg images, num batches per epoch, 1epoch, num epochs, batch size per device, gradient accumulation steps, total optimization steps, epoch, saving checkpoint, safetensors, worker-r0.log, civitai, api, Job workspace created, provided sample prompts, downloaded input, skipping age detection, pushed metrics, age detection thread complete, updated job, detection result, skip, starting train network, model, cache status, cache size, GB, pre-allocating cache space, downloading model, models, download, downloading, downloaded, MB, %, seconds, putting model, asset cache, advertising worker assets, Available, checkpoint download thread completed, uploaded sample prompts, num_saved_epochs, upload_every_n_epochs, save_every_n_epochs, intermediate models, no seconds per iteration found, updating orchestrator, job not finished, sleeping, seconds, sample images, steps, estimated time to completion, hours, setting exif, image, treating as sample prompt, uploading intermediate model, took, upload took, uploading sample image, trainsettings, and Pony. All these words and phrases were not present in the previous word frequency lists as they were a mix of image captions only, with no technical documents.