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kokiy365/Diffusion-KanjiGrade1

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

Diffusion-KanjiGrade1

Diffusion-KanjiGrade1 is a fine-tuned Stable Diffusion model trained on 80 curated Kanji samples. The dataset was derived from KANJIDIC2, filtered to include Grade 1 characters with stroke counts <10 and representing the top 0.05 most frequent words. Images were rendered at 128×128 resolution, with captions containing only the English meaning(s) of each Kanji. Training prompts included both single-word and multi-word meanings.

Training Configuration

  • —Base model: CompVis/stable-diffusion-v1-4
  • —LoRA rank: 32
  • —Alpha: 4
  • —Batch size: 1
  • —Learning rate: 1.0e-04
  • —LR scheduler: cosine
  • —Checkpointing steps: 3000
  • —Total training steps: 3000

Sample Generation

prompt = "river" <Gallery />