nodes/ltdrdata-ComfyUI-Impact-Pack
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2023-05-09 00:30:39 +09:00
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@@ -9,6 +9,7 @@ This custom node helps to conveniently enhance images through Detector, Detailer
* MMDetDetectorProvider - Load MMDet model to provide BBOX_DETECTOR, SEGM_DETECTOR
* ONNXDetectorProvider - Load ONNX model to provide SEGM_DETECTOR
* CLIPSegDetectorProvider - CLIPSeg wrapper to provide BBOX_DETECTOR
* You need to install the [ComfyUI-CLIPSeg](https://github.com/biegert/ComfyUI-CLIPSeg) node extension.
* SEGM Detector (combined) - Detect segmentation and return mask from input image.
* BBOX Detector (combined) - Detect bbox(bounding box) and return mask from input image.
* SAMDetector (combined) - Using the technology of SAM, extract the segment at the location indicated by the input SEGS on the input image, and output it as a unified mask.
@@ -37,6 +38,8 @@ This custom node helps to conveniently enhance images through Detector, Detailer
* If upscale_model_opt is provided, it uses the model to upscale the pixel and then downscales it using the interpolation method provided in scale_method to the target resolution.
* PixelKSampleUpscalerProvider - An upscaler is provided that converts latent to pixels using VAEDecode, performs upscaling, converts back to latent using VAEEncode, and then performs k-sampling. This upscaler can be attached to nodes such as 'Iterative Upscale' for use.
* Similar to 'Latent Scale (on Pixel Space)', if upscale_model_opt is provided, it performs pixel upscaling using the model.
* PixelTiledKSampleUpscalerProvider - It is similar to PixelKSampleUpscalerProvider, but it uses ComfyUI_TiledKSampler and Tiled VAE Decoder/Encoder to avoid GPU VRAM issues at high resolutions.
* You need to install the [ComfyUI_TiledKSampler](https://github.com/BlenderNeko/ComfyUI_TiledKSampler) node extension.
* Iterative Upscale (Latent) - The upscaler takes the input upscaler and splits the scale_factor into steps, then iteratively performs upscaling.
This takes latent as input and outputs latent as the result.
* Iterative Upscale (Image) - The upscaler takes the input upscaler and splits the scale_factor into steps, then iteratively performs upscaling. This takes image as input and outputs image as the result.
@@ -132,6 +135,7 @@ This takes latent as input and outputs latent as the result.
* [Mask Pointer](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/maskpointer.md)
* [ONNX Tutorial](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/ONNX.md)
* [CLIPSeg Tutorial](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/clipseg.md)
* [Extreme Highresolution Upscale](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/extreme-upscale.md)
# Credits
@@ -150,4 +154,7 @@ open-mmlab/[mmdetection](https://github.com/open-mmlab/mmdetection) - Object det
biegert/[ComfyUI-CLIPSeg](https://github.com/biegert/ComfyUI-CLIPSeg) - This is a custom node that enables the use of CLIPSeg technology, which can find segments through prompts, in ComfyUI.
BlenderNeok/[ComfyUI-TiledKSampler](https://github.com/BlenderNeko/ComfyUI_TiledKSampler) -
The tile sampler allows high-resolution sampling even in places with low GPU VRAM.
WASasquatch/[was-node-suite-comfyui](https://github.com/WASasquatch/was-node-suite-comfyui) - A powerful custom node extensions of ComfyUI.