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

8/21: I made some minor improvements to the workflow prompt.I’ve addressed the main issues from previous versions.This version produces results somewhere between v1 and v2.Version Comparison:<ul><li>v1.0 : Aesthetics: 5 / Detection Accuracy: 2</li><li>v2.0 : Aesthetics: 2 / Detection Accuracy: 5</li><li>v3.0 : Aesthetics: 4 / Detection Accuracy: 4 or 5?</li></ul>v1 had great texture but poor detection.v2 improved detection with more data but lost style quality.v3 uses a refined dataset and larger batch size, improving both quality and accuracy. It’s also sharper than previous versions.I recommend using either v3 or v1, depending on your preference.v3 is a safer choice, but v1 can still produce more striking results.Alternatively, try merging the LoRAs at 0.5 each — I’ve included that workflow too.

mat_v03.zip

cloth_v11_000031000.safetensors

Files with SHA256: 6b6f04838430148a9ae9c81aa7d6763a9e60af34a212f4c065c8bb343e717aeb