drbaph/Qwen-Image-Edit-2509-Caricature-LoRA

认证创作者 drbaph 已认证
🤗 Hugging Face 来源image-to-imageapache-2.04.1 GBother✓ 14 个校验和今天更新
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在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo drbaph/Qwen-Image-Edit-2509-Caricature-LoRA ./model-folder
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Qwen Image Edit 2509 Caricature LoRA

Model description

Qwen Image Edit 2509 Caricature LoRA


📌 Description

This LoRA transforms input images into sketched caricature art with exaggerated features. It's an image-to-image model that takes your photo as input and creates humorous, artistic caricature representations of people and animal subjects with emphasized facial features and characteristics.


📝 Usage

Use the following prompts:

create a caricature of this image
create a caricature of these people
create a caricature with exaggerated funny features of this image

Trigger word: caricature

For best results, include the trigger word in your prompt to activate the caricature style transformation.


🚀 Best Results

This model pairs well with the following LoRAs for faster and more refined results:

  • Qwen Image Edit 2509 Lightning 4-step
  • Qwen Image Edit 2509 Lightning 8-step

⚡ These LoRAs are optional and only improve speed.
The base model works fine without them.


📦 Available Checkpoints

This model includes 8 training checkpoints to give you control over the creative style:

  • 1000 steps
  • 2000 steps
  • 2250 steps ✨ Good choice (Creative style)
  • 2500 steps ⭐ Top recommended checkpoint
  • 2750 steps ✨ Good choice (balanced style)
  • 3000 steps
  • 3500 steps

🎨 Checkpoint Selection Guide

  • Lower steps (1000-2250): More creative and experimental caricature style
  • Balanced (2500): Best overall balance ⭐ Top choice
  • Alternative balanced (2250/2750): Good alternatives with slightly different characteristics ✨
  • Higher steps (3000-3500): More standardized illustration style with less creative variation

💡 Tip: Start with checkpoint 2500 for the best results, then experiment with 2250 for more creativity or 2750-3500 for a more standardized illustrated look.


🔄 Troubleshooting

  • If the generated caricature doesn't show enough exaggeration, try adding "exaggerated funny features" to your prompt
  • Change the seed if the result doesn't match your expectations
  • Ensure the input image has clear facial features for best caricature results
  • Try different checkpoints if the style isn't what you're looking for

🛠️ Training Information

  • Training Pairs: 220
  • Data Type: Synthetic dataset
  • Input: Photos of people/animals/subjects
  • Output: Sketched caricature representations with exaggerated features
  • Style: Hand-drawn sketch aesthetic with comedic proportions

Download model

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