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Merge PR #213 from Kosinkadink/develop
Fix Load CtrLoRA Model node category + readme features
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README.md

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@@ -13,6 +13,9 @@ ControlNet preprocessors are available through [comfyui_controlnet_aux](https://
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- uncond_multiplier=0.0 gives identical results of auto1111's feature, but values between 0.0 and 1.0 can be used without issue to granularly control the setting.
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- ControlNet, T2IAdapter, and ControlLoRA support for sliding context windows
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- ControlLLLite support
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- ControlNet++ support
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- CtrLoRA support
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- Relevant models linked on [CtrLoRA github page](https://github.com/xyfJASON/ctrlora)
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- SparseCtrl support
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- SVD-ControlNet support
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- Stable Video Diffusion ControlNets trained by **CiaraRowles**: [Depth](https://huggingface.co/CiaraRowles/temporal-controlnet-depth-svd-v1/tree/main/controlnet), [Lineart](https://huggingface.co/CiaraRowles/temporal-controlnet-lineart-svd-v1/tree/main/controlnet)

adv_control/control_ctrlora.py

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# Core code adapted from CtrLoRA github repo:
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# https://github.com/xyfJASON/ctrlora
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import torch
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from torch import Tensor
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adv_control/nodes_ctrlora.py

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RETURN_TYPES = ("CONTROL_NET",)
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FUNCTION = "load_controlnet_plusplus"
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CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/ControlNet++"
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CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/CtrLoRA"
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def load_controlnet_plusplus(self, base: str, lora: str):
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base_path = folder_paths.get_full_path("controlnet", base)

pyproject.toml

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[project]
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name = "comfyui-advanced-controlnet"
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description = "Nodes for scheduling ControlNet strength across timesteps and batched latents, as well as applying custom weights and attention masks."
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version = "1.4.1"
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version = "1.4.2"
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license = { file = "LICENSE" }
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dependencies = []
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