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@@ -105,7 +105,7 @@ Stable Diffusion 1.5 + ControlNet (using soft HED Boundary)
The soft HED Boundary will preserve many details in input images, making this app suitable for recoloring and stylizing. Just try it for more details.
Note that this implementation uses a 3rd-party reimplementation of HED detection by ["sniklaus/pytorch-hed"](https://github.com/sniklaus/pytorch-hed/). The HED codes and weights are lisenced by GPL from [hafriedlander](https://github.com/hafriedlander). The lisence conflits (hafriedlander's GPL license and ControlNet's Apache-2.0 license) are maintained by a [special agreement](https://github.com/sniklaus/pytorch-hed/). Any other projects uses this implementation must follow hafriedlander's GPL license and ControlNet's Apache-2.0 at the same time.
Note that this implementation uses a 3rd-party reimplementation of HED detection by ["sniklaus/pytorch-hed"](https://github.com/sniklaus/pytorch-hed/). The HED codes and weights are lisenced by GPL from [sniklaus](https://github.com/sniklaus). The lisence conflits (hafriedlander's GPL license and ControlNet's Apache-2.0 license) are maintained by a [special agreement](https://github.com/lllyasviel/ControlNet/issues/262). Any other projects uses this implementation must follow hafriedlander's GPL license and ControlNet's Apache-2.0 at the same time.
Prompt: "oil painting of handsome old man, masterpiece"
![p](github_page/p5.png)