Clip specific materials.■Material test images of spheres covered with fabric-like layers, like the sample, are quite common.Sometimes you just can't help but wonder what's underneath. So I thought using a LoRA to remove the covering would resolve that curiosity. Now, there's no need to keep wondering about it.■This LoRA was created for editing anime-style images.■Details and prompts can be found in the shared workflow.■If you're new to Kontext, try installing it using the instructions at the URL below.It's well-documented and easy to set up.<a target="_blank" rel="ugc" href="https://docs.comfy.org/tutorials/flux/flux-1-kontext-dev">https://docs.comfy.org/tutorials/flux/flux-1-kontext-dev</a>■This was trained 2D illustration images.The scale is small, but the detection rate is surprisingly high.■If you're not satisfied with the texture or detail after clipping, try i2i or inpainting with another model.SD1.5 is lightweight and works well as a high-resolution refiner—recommended for i2i. It only uses about 2GB of VRAM, but it's very powerful.It performs reliably up to 1024×1536px.Try denoise values between 0.25–0.5■If you're unsure which SD1.5 model to use, feel free to try my merged SD1.5 models first.I provide both real and anime styles—use whichever fits your image better.If the results don’t match your expectations, you can then look for a model closer to your ideal!<a target="_blank" rel="ugc" href="https://civarchive.com/models/1246353/sd15modellab">https://civarchive.com/models/1246353/sd15modellab</a>■If you have enough VRAM, SDXL could also be a good option.■I used AI Toolkit to train this LoRA.If you're interested in training, the developer has provided a tutorial at the URL below — give it a try!I think you'll find it's easier than you might expect.<div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/WSWubJ4eFqI" start="0"></iframe></div>

Material_Clipper

The dataset has been increased to 2400 images.As a result, this version tends to have better detection and stay truer to the original style than v01.But v1 is often more appealing.Training prompts have also been updated—please check the workflow.However, it's not a perfect upgrade over v01.Due to increased variation, detection may fail or results may look worse in some cases.You might get a better balance by using v01 and v02 together with 0.5 weight each.

Files with SHA256: 287f8b12315aa5cca1c87eddc787a7c69aa660ddf9b444a2a9537028570aee9b