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Detect 2.0 vs 2.1 ZImageControlNetModel #12861

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Detect 2.0 vs 2.1 ZImageControlNetModel #12861

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17b8fee
Detect 2.0 vs 2.1 ZImageControlNetModel
hlky Dec 18, 2025
caf49b8
Possibility of control_noise_refiner being removed
hlky Dec 18, 2025
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11 changes: 9 additions & 2 deletions src/diffusers/loaders/single_file_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -223,7 +223,8 @@
"cosmos-2.0-v2w-14B": {"pretrained_model_name_or_path": "nvidia/Cosmos-Predict2-14B-Video2World"},
"z-image-turbo": {"pretrained_model_name_or_path": "Tongyi-MAI/Z-Image-Turbo"},
"z-image-turbo-controlnet": {"pretrained_model_name_or_path": "hlky/Z-Image-Turbo-Fun-Controlnet-Union"},
"z-image-turbo-controlnet-2.x": {"pretrained_model_name_or_path": "hlky/Z-Image-Turbo-Fun-Controlnet-Union-2.1"},
"z-image-turbo-controlnet-2.0": {"pretrained_model_name_or_path": "hlky/Z-Image-Turbo-Fun-Controlnet-Union-2.0"},
"z-image-turbo-controlnet-2.1": {"pretrained_model_name_or_path": "hlky/Z-Image-Turbo-Fun-Controlnet-Union-2.1"},
}

# Use to configure model sample size when original config is provided
Expand Down Expand Up @@ -784,7 +785,13 @@ def infer_diffusers_model_type(checkpoint):
raise ValueError(f"Unexpected x_embedder shape: {x_embedder_shape} when loading Cosmos 2.0 model.")

elif CHECKPOINT_KEY_NAMES["z-image-turbo-controlnet-2.x"] in checkpoint:
model_type = "z-image-turbo-controlnet-2.x"
before_proj_weight = checkpoint.get("control_noise_refiner.0.before_proj.weight", None)
if before_proj_weight is None:
model_type = "z-image-turbo-controlnet-2.0"
elif before_proj_weight is not None and torch.all(before_proj_weight == 0.0):
model_type = "z-image-turbo-controlnet-2.0"
else:
model_type = "z-image-turbo-controlnet-2.1"

elif CHECKPOINT_KEY_NAMES["z-image-turbo-controlnet"] in checkpoint:
model_type = "z-image-turbo-controlnet"
Expand Down
3 changes: 1 addition & 2 deletions src/diffusers/pipelines/z_image/pipeline_z_image_controlnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -58,14 +58,13 @@
>>> # torch_dtype=torch.bfloat16,
>>> # )

>>> # 2.0 - `config` is required
>>> # 2.0
>>> # controlnet = ZImageControlNetModel.from_single_file(
>>> # hf_hub_download(
>>> # "alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0",
>>> # filename="Z-Image-Turbo-Fun-Controlnet-Union-2.0.safetensors",
>>> # ),
>>> # torch_dtype=torch.bfloat16,
>>> # config="hlky/Z-Image-Turbo-Fun-Controlnet-Union-2.0",
>>> # )

>>> pipe = ZImageControlNetPipeline.from_pretrained(
Expand Down
3 changes: 1 addition & 2 deletions src/diffusers/pipelines/z_image/pipeline_z_image_controlnet_inpaint.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,14 +50,13 @@
... torch_dtype=torch.bfloat16,
... )

>>> # 2.0 - `config` is required
>>> # 2.0
>>> # controlnet = ZImageControlNetModel.from_single_file(
>>> # hf_hub_download(
>>> # "alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0",
>>> # filename="Z-Image-Turbo-Fun-Controlnet-Union-2.0.safetensors",
>>> # ),
>>> # torch_dtype=torch.bfloat16,
>>> # config="hlky/Z-Image-Turbo-Fun-Controlnet-Union-2.0",
>>> # )

>>> pipe = ZImageControlNetInpaintPipeline.from_pretrained(
Expand Down