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.
https://docs.comfy.org/tutorials/flux/flux-1-kontext-dev
■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!
https://civitai.com/models/1246353/sd15modellab
■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.
Description
I’ve addressed the main issues from previous versions.
This version produces results somewhere between v1 and v2.
Version Comparison:
v1.0 : Aesthetics: 5 / Detection Accuracy: 2
v2.0 : Aesthetics: 2 / Detection Accuracy: 5
v3.0 : Aesthetics: 4 / Detection Accuracy: 4 or 5?
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.
FAQ
Details
Files
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.
