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Recently, developer scraed released LanPaint on GitHub, a zero-shot image inpainting tool. This tool aims to help users achieve high-quality image inpainting results on any Stable Diffusion (SD) model, including custom-trained models. LanPaint achieves this by iteratively prompting the model to 'think' before denoising, resulting in more seamless and accurate inpainting. A key feature of LanPaint is its zero-shot capability; users can start using it immediately without any training.

FLUX-Controlnet-Inpainting, an image repair tool based on ControlNet and FLUX.1-dev, is redefining our understanding of image restoration. This tool not only inherits the high-quality image generation capabilities of the FLUX.1-dev model but also cleverly integrates the strengths of ControlNet. It can accurately repair images based on information from edges, sketches, depth maps, etc., generating content that harmonizes with the surrounding environment in specified areas.

Tencent's Hunyuan DiT model has recently partnered with the community to release three new controllable plugins for ControlNet: tile (high-definition image enlargement), inpainting (image restoration and expansion), and lineart (line art generation), further expanding its ControlNet matrix. The addition of these plugins enables the Hunyuan DiT model to cover a wider range of application scenarios.