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fix(controlnet): Use deep copy in ZImageControlNet.from_transformer #13102

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fix(controlnet): Use deep copy in ZImageControlNet.from_transformer #13102

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20 changes: 12 additions & 8 deletions src/diffusers/models/controlnets/controlnet_z_image.py
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Expand Up @@ -517,15 +517,19 @@ def __init__(

@classmethod
def from_transformer(cls, controlnet, transformer):
import copy

controlnet.t_scale = transformer.t_scale
controlnet.t_embedder = transformer.t_embedder
controlnet.all_x_embedder = transformer.all_x_embedder
controlnet.cap_embedder = transformer.cap_embedder
controlnet.rope_embedder = transformer.rope_embedder
controlnet.noise_refiner = transformer.noise_refiner
controlnet.context_refiner = transformer.context_refiner
controlnet.x_pad_token = transformer.x_pad_token
controlnet.cap_pad_token = transformer.cap_pad_token
# Use deep copies to avoid sharing references with the transformer.
# This ensures modifying controlnet weights won't affect the transformer.
controlnet.t_embedder = copy.deepcopy(transformer.t_embedder)
controlnet.all_x_embedder = copy.deepcopy(transformer.all_x_embedder)
controlnet.cap_embedder = copy.deepcopy(transformer.cap_embedder)
controlnet.rope_embedder = copy.deepcopy(transformer.rope_embedder)
controlnet.noise_refiner = copy.deepcopy(transformer.noise_refiner)
controlnet.context_refiner = copy.deepcopy(transformer.context_refiner)
controlnet.x_pad_token = copy.deepcopy(transformer.x_pad_token)
controlnet.cap_pad_token = copy.deepcopy(transformer.cap_pad_token)
return controlnet

@staticmethod
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