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ComfyUI-Advanced-ControlNet
Nodes for scheduling ControlNet strength across timesteps and batched latents, as well as applying custom weights and attention masks.
- 发布者
- Kosinkadink
- 下载量
- 739,465
- GitHub 星标
- 1,024
- 最新版本
- 1.6.0
- 许可证
- LICENSE
- 最后更新
- 2026年7月28日
此节点包中的节点
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- Apply Advanced ControlNet 🛂🅐🅒🅝已弃用
- Apply Advanced ControlNet(1) 🛂🅐🅒🅝已弃用
- ControlNet Custom Weights 🛂🅐🅒🅝已弃用
- ControlNet Soft Weights 🛂🅐🅒🅝已弃用
- Load Advanced ControlNet Model (diff) 🛂🅐🅒🅝已弃用
- Load Advanced ControlNet Model 🛂🅐🅒🅝已弃用
- Scaled Soft Weights 🛂🅐🅒🅝
- T2IAdapter Custom Weights 🛂🅐🅒🅝已弃用
- T2IAdapter Soft Weights 🛂🅐🅒🅝已弃用
Adv-ControlNet 🛂🅐🅒🅝
- Apply Advanced ControlNet 🛂🅐🅒🅝
- Apply Advanced ControlNet(1) 🛂🅐🅒🅝
- Load Advanced ControlNet Model (diff) 🛂🅐🅒🅝
- Load Advanced ControlNet Model 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/ControlNet++
- ControlNet++ Input 🛂🅐🅒🅝
- Load ControlNet++ Model (Multi) 🛂🅐🅒🅝
- Load ControlNet++ Model (Single) 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/CtrLoRA
- Load CtrLoRA Model 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/keyframes
- Latent Keyframe 🛂🅐🅒🅝
- Latent Keyframe From List 🛂🅐🅒🅝
- Latent Keyframe Group 🛂🅐🅒🅝
- Latent Keyframe Interp. 🛂🅐🅒🅝
- Timestep Keyframe 🛂🅐🅒🅝
- Timestep Keyframe From List 🛂🅐🅒🅝
- Timestep Keyframe Interp. 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/Reference
- Reference ControlNet (Finetune) 🛂🅐🅒🅝
- Reference ControlNet 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/Reference/preprocess
- Reference Preproccessor 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/SparseCtrl
- Load SparseCtrl Model 🛂🅐🅒🅝
- SparseCtrl Index Method 🛂🅐🅒🅝
- SparseCtrl Spread Method 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/SparseCtrl/experimental
- 🧪Load Merged SparseCtrl Model 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/SparseCtrl/extras
- SparseCtrl Weight Extras 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/SparseCtrl/preprocess
- RGB SparseCtrl 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/weights
- Default Weights 🛂🅐🅒🅝
- Scaled Soft Masked Weights 🛂🅐🅒🅝
- Scaled Soft Weights 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/weights/ControlNet
- ControlNet Custom Weights [Flux] 🛂🅐🅒🅝
- ControlNet Custom Weights [SD1.5] 🛂🅐🅒🅝
- ControlNet Soft Weights [SD1.5] 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/weights/extras
- Middle Weight Extras 🛂🅐🅒🅝
Adv-ControlNet 🛂🅐🅒🅝/weights/T2IAdapter
- T2IAdapter Custom Weights 🛂🅐🅒🅝
- T2IAdapter Soft Weights 🛂🅐🅒🅝