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https://git.datalinker.icu/comfyanonymous/ComfyUI
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add control_weight support for HunyuanDit Controlnet
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@ -240,6 +240,7 @@ class HunYuanControlNet(nn.Module):
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text_embedding_mask_t5=None,
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image_meta_size=None,
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style=None,
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control_weight=1.0,
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transformer_options=None,
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**kwarg,
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):
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@ -336,4 +337,6 @@ class HunYuanControlNet(nn.Module):
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x = block(x, c, text_states, freqs_cis_img)
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controls.append(self.after_proj_list[layer](x)) # zero linear for output
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controls = [control * control_weight for control in controls]
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return {"output": controls}
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@ -29,6 +29,7 @@ class ControlNetApplyAdvancedHunYuan:
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"image": ("IMAGE", ),
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"vae": ("VAE", ),
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"strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
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"control_weight": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.001}),
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"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
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"end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001})
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}}
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@ -39,7 +40,7 @@ class ControlNetApplyAdvancedHunYuan:
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CATEGORY = "conditioning/controlnet"
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def apply_controlnet(self, positive, negative, control_net, image, strength, start_percent, end_percent, vae=None):
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def apply_controlnet(self, positive, negative, control_net, image, strength, control_weight, start_percent, end_percent, vae=None):
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if strength == 0:
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return (positive, negative)
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@ -57,6 +58,7 @@ class ControlNetApplyAdvancedHunYuan:
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c_net = cnets[prev_cnet]
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else:
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c_net = control_net.copy().set_cond_hint(control_hint, strength, (start_percent, end_percent), vae)
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c_net.set_extra_arg('control_weight', control_weight)
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c_net.set_previous_controlnet(prev_cnet)
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cnets[prev_cnet] = c_net
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