adetailer

Use cases

• Automated face inpainting after Stable Diffusion image generation to improve face quality
• Hand region detection for targeted inpainting of deformed fingers in AI-generated images
• Anime character face detection for style-consistent touch-up passes
• Post-processing pipeline automation in Stable Diffusion workflows
• Region-of-interest extraction for targeted image editing

Pros

• Specialized for SD WebUI ADetailer use case with zero configuration needed
• Covers both photorealistic and anime detection with separate model variants
• Apache 2.0 license; Ultralytics-compatible for custom deployment
• Directly solves a common Stable Diffusion quality problem (deformed faces/hands)

Cons

• Designed specifically for the ADetailer SD extension — limited use outside that context
• Detection quality depends on the Stable Diffusion base model and generation settings
• No general-purpose object detection outside the face/hand/body scope
• Requires Stable Diffusion WebUI ecosystem to use as intended
• No pipeline_tag; integration outside ADetailer requires custom Ultralytics code

FAQ

What is adetailer used for?

Automated face inpainting after Stable Diffusion image generation to improve face quality. Hand region detection for targeted inpainting of deformed fingers in AI-generated images. Anime character face detection for style-consistent touch-up passes. Post-processing pipeline automation in Stable Diffusion workflows. Region-of-interest extraction for targeted image editing.

Is adetailer free to use?

adetailer is an open-source model published on HuggingFace. License terms vary by model — check the model card for the specific license.

How do I run adetailer locally?

Most HuggingFace models can be loaded with transformers or the appropriate framework library. See the model card for framework-specific instructions and hardware requirements.

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