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  1. Collaborate on models, datasets and Spaces. Faster examples with accelerated inference. Switch between documentation themes. Sign Up. to get started. 500. Not Found. ← Consistency Models ControlNet with Stable Diffusion XL →. We’re on a journey to advance and democratize artificial intelligence through open source and open science.

  2. zhuanlan.zhihu.com › p › 662900643知乎专栏

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  3. 23 de feb. de 2023 · I put some famous logos through ControlNet. 10:19 PM · Feb 23, 2023 ...

  4. 4 de mar. de 2023 · Easy! In Draw Things AI, click on a blank canvas, set size to 512x512, select in Control “Canny Edge Map”, and then paste the picture of the scribble or sketch in the canvas. Use whatever model you want, with whatever specs you want, and watch the magic happen. Don’t forget the golden rule: experiment, experiment, experiment!

  5. 11 de feb. de 2023 · ControlNet is a neural network structure to control diffusion models by adding extra conditions. It copys the weights of neural network blocks into a "locked" copy and a "trainable" copy. The "trainable" one learns your condition. The "locked" one preserves your model. Thanks to this, training with small dataset of image pairs will not destroy ...

  6. ControlNet-v1-1. like. 3.33k. License: openrail. Model card Files Community. 121. Edit model card. This is the model files for ControlNet 1.1 . This model card will be filled in a more detailed way after 1.1 is officially merged into ControlNet.

  7. We present a neural network structure, ControlNet, to control pretrained large diffusion models to support additional input conditions. The ControlNet learns task-specific conditions in an end-to-end way, and the learning is robust even when the training dataset is small (< 50k). Moreover, training a ControlNet is as fast as fine-tuning a ...