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

Qwen Image Edit 2509 Caricature LoRA

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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

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