description: <p>A LoRA of <a target="_blank" rel="ugc" href="https://umamusume.jp/character/detail/?name=happymik">Happy Meek (official transliteration: Happy Mik)</a> from Umamusume: Pretty Derby based on 72 fanarts.</p><p></p><p>A byproduct of the quest of finding out how many bytes a character is worth. It's likely less than 1MB.</p><p></p><p>4 versions are provided:</p><ul><li><p>Rank-1 LoRA</p></li><li><p>Rank-4 LoRA</p></li><li><p>Rank-16 LoRA</p></li><li><p>Rank-4 Hadamard Product LoRA</p></li></ul><p>(Currently Civitai's versioned model uploading isn't working for me, so the 4 versions are only available in the <a target="_blank" rel="ugc" href="https://huggingface.co/gustproof/sd-models/tree/main/mik">hf repo</a> for now)</p><p></p><p>There doesn't seem to be a clear winner. However, these are <code>n=1</code>runs without any hyperparameter tuning, so the results may not be representative. Higher ranked versions appear to be slightly better at multiple outfits.</p><p></p><h2>Usage</h2><p>The character tag is <code>mik</code>.</p><p>Top related tags:</p><pre><code>1girl, animal ears, horse ears, solo, hair ornament, flower, hair flower, hairclip, looking at viewer, shirt, horse girl, short sleeves, pink eyes, medium hair, bow, blush, tail, blunt bangs, horse tail, puffy sleeves, puffy short sleeves, skirt, closed mouth, upper body, gloves, bowtie, white shirt, white gloves, jacket, pleated skirt, white jacket, twitter username, grey hair, brooch, jewelry, vest, simple background, artist name, short hair, red eyes</code></pre><p>For specific outfits, refer to the preview images or <a target="_blank" rel="ugc" href="https://huggingface.co/datasets/gustproof/sd-data/blob/main/mik.zip">the dataset</a>.</p><p></p><h2>Training info</h2><p>Dataset: <a target="_blank" rel="ugc" href="https://huggingface.co/datasets/gustproof/sd-data/blob/main/mik.zip">72 fanarts from Danbooru and Pixiv</a></p><p>Non-booru images were tagged with <a target="_blank" rel="ugc" href="https://huggingface.co/SmilingWolf/wd-v1-4-convnextv2-tagger-v2">SmilingWolf/wd-v1-4-convnextv2-tagger-v2</a> with a threshold of 0.35.</p><p></p><p>Training cost: ~0.5 T4-hour each</p><p></p><p>Training config (common except the dims settings):</p><pre><code>[model_arguments]
  v2 = false
  v_parameterization = false
  pretrained_model_name_or_path = "Animefull-final-pruned.ckpt"
  
  [additional_network_arguments]
  no_metadata = false
  unet_lr = 0.0005
  text_encoder_lr = 0.0005
  network_dim = 4
  network_alpha = 1
  network_train_unet_only = false
  network_train_text_encoder_only = false
  
  [optimizer_arguments]
  optimizer_type = "AdamW8bit"
  learning_rate = 0.0005
  max_grad_norm = 1.0
  lr_scheduler = "cosine"
  lr_warmup_steps = 0
  
  [dataset_arguments]
  debug_dataset = false
  
  [training_arguments]
  save_precision = "fp16"
  save_every_n_epochs = 1
  train_batch_size = 4
  max_token_length = 225
  mem_eff_attn = false
  xformers = true
  max_train_epochs = 50
  max_data_loader_n_workers = 8
  persistent_data_loader_workers = true
  gradient_checkpointing = false
  gradient_accumulation_steps = 1
  mixed_precision = "fp16"
  clip_skip = 2
  lowram = true
  
  [sample_prompt_arguments]
  sample_every_n_epochs = 2
  sample_sampler = "k_euler_a"
  
  [saving_arguments]
  save_model_as = "safetensors"
  </code></pre><p></p>
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.baseModelType: Standard
modelVersions.description: <p>Rank-1 LoRA </p>
modelVersions.downloadUrl: https://civitai.com/api/download/models/37158
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/37158
modelVersions.AutoV2: C059914FAE
modelVersions.AutoV3: A7CF456433F1
modelVersions.BLAKE3: 87F8A46A795327363C03FF36E6DFA023EF6903528E76EC62AB78035118F19207
modelVersions.CRC32: 9FAAAB7C
modelVersions.SHA256: C059914FAE4FB0082ABD1C161A8CC08D29AB45C5E16372DBF50E1DBF95438E2D
modelVersions.format: SafeTensor
modelVersions.name: mik_r1.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-04-05T13:36:09.251Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: U7Kwb49I00tl^J%40N%2E.$-9G~W?I~X;SI[
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9272d34f-1001-4fb0-8968-17dc58ece800/width=450/416359.jpeg
modelVersions.hash: UqKUD[t7~qtR?bofofxut7Rjj[RjozRjxuae
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bf5f0773-984d-42e9-ed2c-6b90c3082600/width=450/416358.jpeg
modelVersions.hash: UQMjRMxujYoJ~pt7agoft+j]kBfi_4WBa#of
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/22ed1740-d65e-4540-6212-473687ca3900/width=450/416372.jpeg
modelVersions.hash: UaLzghR*WoRj_Nj[j[WB_3ofj@og-=oeoLof
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cece7eee-f379-42e8-d29e-b7258ee82200/width=450/416371.jpeg
modelVersions.name: v1.0-r1
modelVersions.publishedAt: 2023-04-05T13:31:26.328Z
modelVersions.trainedWords: Mik
name: Happy Meek (Happy Mik) (Umamusume)
tags: anime character umamusume