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Updated ControlNet (markdown)
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@ -6,11 +6,10 @@ While this sounds similar to image-to-image, ControlNets allow the AI to extract
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# Quick guide to using ControlNets in Easy Diffusion
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# Quick guide to using ControlNets in Easy Diffusion
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1. Enable beta and diffusers: https://github.com/easydiffusion/easydiffusion/wiki/The-beta-channel#test-diffusers-in-beta
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1. In the `Image Settings` panel, set a `Control Image`. This can be any image that you want the AI to follow. For e.g. download [this painting](https://user-images.githubusercontent.com/844287/257520525-517c43a6-2253-4f92-a75b-b7f18a1e8581.png) and set that as the control image.
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2. In the `Image Settings` panel, set a `Control Image`. This can be any image that you want the AI to follow. For e.g. download [this painting](https://user-images.githubusercontent.com/844287/257520525-517c43a6-2253-4f92-a75b-b7f18a1e8581.png) and set that as the control image.
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2. Then set `Filter to apply` to `Canny`. This will automatically select `Canny` as the controlnet model as well.
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3. Then set `Filter to apply` to `Canny`. This will automatically select `Canny` as the controlnet model as well.
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3. Type `Emma Watson` in the prompt box (at the top), and use `1808629740` as the seed, and `euler_a` with 25 steps and `SD 1.4` model (or any other Stable Diffusion model).
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4. Type `Emma Watson` in the prompt box (at the top), and use `1808629740` as the seed, and `euler_a` with 25 steps and `SD 1.4` model (or any other Stable Diffusion model).
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4. Make an image.
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5. Make an image.
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It'll take a while during the first image, since it'll download about 1.3 GB of models for the canny controlnet.
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It'll take a while during the first image, since it'll download about 1.3 GB of models for the canny controlnet.
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