xinyun/ComfyUI
1
0
Fork 0
mirror of https://git.datalinker.icu/comfyanonymous/ComfyUI synced 2026-11-12 19:37:04 +08:00
Code Issues Packages Projects Releases Wiki Activity

add control_weight support for HunyuanDit Controlnet

Browse Source
This commit is contained in:
CrazyBoyM 2024-08-08 00:03:44 +08:00
parent bda7c82134
commit e724bd542c
2 changed files with 6 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
comfy/ldm/hydit/controlnet.py
View File

@ -240,6 +240,7 @@ class HunYuanControlNet(nn.Module):
text_embedding_mask_t5=None, text_embedding_mask_t5=None,
image_meta_size=None, image_meta_size=None,
style=None, style=None,
control_weight=1.0,
transformer_options=None, transformer_options=None,
**kwarg, **kwarg,
): ):
@ -336,4 +337,6 @@ class HunYuanControlNet(nn.Module):
x = block(x, c, text_states, freqs_cis_img) x = block(x, c, text_states, freqs_cis_img)
controls.append(self.after_proj_list[layer](x)) # zero linear for output controls.append(self.after_proj_list[layer](x)) # zero linear for output
controls = [control * control_weight for control in controls]
return {"output": controls} return {"output": controls}

4
comfy_extras/nodes_hunyuan.py
View File

@ -29,6 +29,7 @@ class ControlNetApplyAdvancedHunYuan:
"image": ("IMAGE", ), "image": ("IMAGE", ),
"vae": ("VAE", ), "vae": ("VAE", ),
"strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
"control_weight": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.001}),
"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
"end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}) "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001})
}} }}
@ -39,7 +40,7 @@ class ControlNetApplyAdvancedHunYuan:
CATEGORY = "conditioning/controlnet" CATEGORY = "conditioning/controlnet"
def apply_controlnet(self, positive, negative, control_net, image, strength, start_percent, end_percent, vae=None): def apply_controlnet(self, positive, negative, control_net, image, strength, control_weight, start_percent, end_percent, vae=None):
if strength == 0: if strength == 0:
return (positive, negative) return (positive, negative)
@ -57,6 +58,7 @@ class ControlNetApplyAdvancedHunYuan:
c_net = cnets[prev_cnet] c_net = cnets[prev_cnet]
else: else:
c_net = control_net.copy().set_cond_hint(control_hint, strength, (start_percent, end_percent), vae) c_net = control_net.copy().set_cond_hint(control_hint, strength, (start_percent, end_percent), vae)
c_net.set_extra_arg('control_weight', control_weight)
c_net.set_previous_controlnet(prev_cnet) c_net.set_previous_controlnet(prev_cnet)
cnets[prev_cnet] = c_net cnets[prev_cnet] = c_net