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https://github.com/comfyanonymous/ComfyUI.git
synced 2025-08-02 23:14:49 +08:00
Support SVD img2vid model.
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@@ -128,6 +128,36 @@ class ModelSamplingDiscrete:
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m.add_object_patch("model_sampling", model_sampling)
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return (m, )
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class ModelSamplingContinuousEDM:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": { "model": ("MODEL",),
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"sampling": (["v_prediction", "eps"],),
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"sigma_max": ("FLOAT", {"default": 120.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
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"sigma_min": ("FLOAT", {"default": 0.002, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
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}}
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RETURN_TYPES = ("MODEL",)
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FUNCTION = "patch"
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CATEGORY = "advanced/model"
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def patch(self, model, sampling, sigma_max, sigma_min):
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m = model.clone()
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if sampling == "eps":
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sampling_type = comfy.model_sampling.EPS
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elif sampling == "v_prediction":
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sampling_type = comfy.model_sampling.V_PREDICTION
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class ModelSamplingAdvanced(comfy.model_sampling.ModelSamplingContinuousEDM, sampling_type):
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pass
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model_sampling = ModelSamplingAdvanced()
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model_sampling.set_sigma_range(sigma_min, sigma_max)
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m.add_object_patch("model_sampling", model_sampling)
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return (m, )
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class RescaleCFG:
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@classmethod
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def INPUT_TYPES(s):
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@@ -169,5 +199,6 @@ class RescaleCFG:
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NODE_CLASS_MAPPINGS = {
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"ModelSamplingDiscrete": ModelSamplingDiscrete,
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"ModelSamplingContinuousEDM": ModelSamplingContinuousEDM,
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"RescaleCFG": RescaleCFG,
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}
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