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✏️ Doodle to Magic
📢 This Model was carried out as part of the AIKU (🇰🇷 Korea Univ Deep-Learning CLUB) Summer 2025 activities - 🥉 Bronze Prize Winner!!
📌 Github Link
Doodle-to-Magic
🏀 Deployment Link
vercel/doodle-to-magic
Model Introduction
This model aims to automatically generate Pokemon characters from personal doodles.
Datasets
| Dataset | Description |
|---|---|
| Pokémon dataset | Pokémon illustrations with image-caption pairs |
Training Info
- Hardware: 4 × Titan XP GPUs
- Total Steps: 10,425 steps (~15 hours)
- Model: LoRA finetuning on
control_v11p_sd15_scribble
Methodology
Data Pre-processing
Training (LoRA)
Example Results
Promptpokemon prompt : pokemon style, cute {input} pokemon character, no background
license: mit
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runwayml/stable-diffusion-v1-5