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Support qwen inpaint controlnet. (#9772)

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comfyanonymous
2025-09-08 14:30:26 -07:00
committed by GitHub
parent 97652d26b8
commit 103a12cb66
1 changed files with 13 additions and 3 deletions
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16
comfy/controlnet.py
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@@ -253,7 +253,10 @@ class ControlNet(ControlBase):
to_concat = []
for c in self.extra_concat_orig:
c = c.to(self.cond_hint.device)
c = comfy.utils.common_upscale(c, self.cond_hint.shape[3], self.cond_hint.shape[2], self.upscale_algorithm, "center")
c = comfy.utils.common_upscale(c, self.cond_hint.shape[-1], self.cond_hint.shape[-2], self.upscale_algorithm, "center")
if c.ndim < self.cond_hint.ndim:
c = c.unsqueeze(2)
c = comfy.utils.repeat_to_batch_size(c, self.cond_hint.shape[2], dim=2)
to_concat.append(comfy.utils.repeat_to_batch_size(c, self.cond_hint.shape[0]))
self.cond_hint = torch.cat([self.cond_hint] + to_concat, dim=1)
@@ -585,11 +588,18 @@ def load_controlnet_flux_instantx(sd, model_options={}):
def load_controlnet_qwen_instantx(sd, model_options={}):
model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(sd, model_options=model_options)
control_model = comfy.ldm.qwen_image.controlnet.QwenImageControlNetModel(operations=operations, device=offload_device, dtype=unet_dtype, **model_config.unet_config)
control_latent_channels = sd.get("controlnet_x_embedder.weight").shape[1]
extra_condition_channels = 0
concat_mask = False
if control_latent_channels == 68: #inpaint controlnet
extra_condition_channels = control_latent_channels - 64
concat_mask = True
control_model = comfy.ldm.qwen_image.controlnet.QwenImageControlNetModel(extra_condition_channels=extra_condition_channels, operations=operations, device=offload_device, dtype=unet_dtype, **model_config.unet_config)
control_model = controlnet_load_state_dict(control_model, sd)
latent_format = comfy.latent_formats.Wan21()
extra_conds = []
control = ControlNet(control_model, compression_ratio=1, latent_format=latent_format, load_device=load_device, manual_cast_dtype=manual_cast_dtype, extra_conds=extra_conds)
control = ControlNet(control_model, compression_ratio=1, latent_format=latent_format, concat_mask=concat_mask, load_device=load_device, manual_cast_dtype=manual_cast_dtype, extra_conds=extra_conds)
return control
def convert_mistoline(sd):