Comments (2)
1 - v
on a floating point grayscale image is "invert" so as to get a black image with white lines or a white image with black lines. I think the assumption here is: canny images are usually generated with a canny edge detector, which outputs black images with white lines, whereas lineart images are usually scanned from real paper. it's for convienience.
from controlnet-v1-1-nightly.
1 - v
on a floating point grayscale image is "invert" so as to get a black image with white lines or a white image with black lines. I think the assumption here is: canny images are usually generated with a canny edge detector, which outputs black images with white lines, whereas lineart images are usually scanned from real paper. it's for convienience.
Thanks for your quick reply!
from controlnet-v1-1-nightly.
Related Issues (20)
- Connection errored out. HOT 1
- cost time HOT 1
- Training Details for tile model HOT 3
- Can I use SDXL for training, such as I want to train inpaints HOT 3
- question in depth preprocess
- Can I ask how you trained the IP2P model? HOT 4
- What the "Controlnet tile" model really does and How was it trained? HOT 2
- What does it mean: "The gradio example in this repo does not include tiled upscaling scripts."?
- Will the MLSD models available for SDXL be made public? HOT 2
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- Fine tuning question. HOT 1
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- Exception using ControlNet model control_v11f1e_sd15_tile not compatible with SDXL models. HOT 1
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- [Question]How the Multi-Controlnet is implemented?
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from controlnet-v1-1-nightly.