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mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-08-02 23:14:49 +08:00

Support SVD img2vid model.

This commit is contained in:
comfyanonymous
2023-11-23 19:41:33 -05:00
parent 022033a0e7
commit 871cc20e13
11 changed files with 1030 additions and 100 deletions

View File

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