added ConditioningSubtract

This commit is contained in:
spacepxl
2024-08-04 17:58:09 -04:00
parent 60ad56bb71
commit 768044848f
+42
View File
@@ -1979,6 +1979,46 @@ class ModelTest:
exec(code)
return ()
class ConditioningSubtract:
@classmethod
def INPUT_TYPES(s):
return {"required": {
"cond_orig": ("CONDITIONING", ),
"cond_subtract": ("CONDITIONING", ),
"subtract_strength": ("FLOAT", {"default": 1.0, "step": 0.01}),
}}
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "addWeighted"
CATEGORY = "conditioning"
def addWeighted(self, cond_orig, cond_subtract, subtract_strength):
out = []
if len(cond_subtract) > 1:
logging.warning("Warning: ConditioningSubtract cond_subtract contains more than 1 cond, only the first one will actually be applied to cond_orig.")
cond_from = cond_subtract[0][0]
pooled_output_from = cond_subtract[0][1].get("pooled_output", None)
for i in range(len(cond_orig)):
t1 = cond_orig[i][0]
pooled_output_to = cond_orig[i][1].get("pooled_output", pooled_output_from)
t0 = cond_from[:,:t1.shape[1]]
if t0.shape[1] < t1.shape[1]:
t0 = torch.cat([t0] + [torch.zeros((1, (t1.shape[1] - t0.shape[1]), t1.shape[2]))], dim=1)
tw = t1 - torch.mul(t0, subtract_strength)
t_to = cond_orig[i][1].copy()
if pooled_output_from is not None and pooled_output_to is not None:
t_to["pooled_output"] = pooled_output_to - torch.mul(pooled_output_from, subtract_strength)
elif pooled_output_from is not None:
t_to["pooled_output"] = pooled_output_from
n = [tw, t_to]
out.append(n)
return (out, )
NODE_CLASS_MAPPINGS = {
"AdainFilterLatent": AdainFilterLatent,
"AdainImage": AdainImage,
@@ -1996,6 +2036,7 @@ NODE_CLASS_MAPPINGS = {
"BlurMaskFast": BlurMaskFast,
"ClampOutliers": ClampOutliers,
"ColorMatchImage": ColorMatchImage,
"ConditioningSubtract": ConditioningSubtract,
"ConvertNormals": ConvertNormals,
"DepthToNormals": DepthToNormals,
"DifferenceChecker": DifferenceChecker,
@@ -2047,6 +2088,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"BlurMaskFast": "Blur Mask (Fast)",
"ClampOutliers": "Clamp Outliers",
"ColorMatchImage": "Color Match Image",
"ConditioningSubtract": "ConditioningSubtract",
"ConvertNormals": "Convert Normals",
"DepthToNormals": "Depth To Normals",
"DifferenceChecker": "Difference Checker",