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README.md
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Each ControlNet is trained on 1024x1024 resolution.
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However, we recommend you to generate images with 1024x1024 for Depth, and use 768x768 resolution for Canny and HED for better results.
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# Inference
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Use main.py from our [official repo](https://github.com/XLabs-AI/x-flux)
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We do not guarantee that our checkpoints will work 100% correctly with other repositories and tools due to the nature of our sampling implementation and so on until we add our support.
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## Canny ControlNet
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```bash
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Each ControlNet is trained on 1024x1024 resolution.
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However, we recommend you to generate images with 1024x1024 for Depth, and use 768x768 resolution for Canny and HED for better results.
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# Examples
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See examples of our models results below.
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Also, some generation results with input images are provided in "Files and versions"
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# Inference
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Use main.py from our [official repo](https://github.com/XLabs-AI/x-flux)
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We do not guarantee that our checkpoints will work 100% correctly with other repositories and tools due to the nature of our sampling implementation and so on until we add our support.
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See examples how to launch our models:
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## Canny ControlNet
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```bash
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