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Merge branch 'comfyanonymous:master' into chroma-support

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Silver 2025-03-23 22:30:00 +01:00 committed by GitHub
commit 4fa663d66f
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2 changed files with 38 additions and 3 deletions
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16
comfy/ldm/modules/attention.py
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@ -471,7 +471,7 @@ def attention_pytorch(q, k, v, heads, mask=None, attn_precision=None, skip_resha
def attention_sage(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False):
if skip_reshape:
b, _, _, dim_head = q.shape
tensor_layout="HND"
tensor_layout = "HND"
else:
b, _, dim_head = q.shape
dim_head //= heads
@ -479,7 +479,7 @@ def attention_sage(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=
lambda t: t.view(b, -1, heads, dim_head),
(q, k, v),
)
tensor_layout="NHD"
tensor_layout = "NHD"
if mask is not None:
# add a batch dimension if there isn't already one
@ -489,7 +489,17 @@ def attention_sage(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=
if mask.ndim == 3:
mask = mask.unsqueeze(1)
out = sageattn(q, k, v, attn_mask=mask, is_causal=False, tensor_layout=tensor_layout)
try:
out = sageattn(q, k, v, attn_mask=mask, is_causal=False, tensor_layout=tensor_layout)
except Exception as e:
logging.error("Error running sage attention: {}, using pytorch attention instead.".format(e))
if tensor_layout == "NHD":
q, k, v = map(
lambda t: t.transpose(1, 2),
(q, k, v),
)
return attention_pytorch(q, k, v, heads, mask=mask, skip_reshape=True, skip_output_reshape=skip_output_reshape)
if tensor_layout == "HND":
if not skip_output_reshape:
out = (

25
comfy_extras/nodes_model_merging_model_specific.py
View File

@ -244,6 +244,30 @@ class ModelMergeCosmos14B(comfy_extras.nodes_model_merging.ModelMergeBlocks):
return {"required": arg_dict}
class ModelMergeWAN2_1(comfy_extras.nodes_model_merging.ModelMergeBlocks):
CATEGORY = "advanced/model_merging/model_specific"
DESCRIPTION = "1.3B model has 30 blocks, 14B model has 40 blocks. Image to video model has the extra img_emb."
@classmethod
def INPUT_TYPES(s):
arg_dict = { "model1": ("MODEL",),
"model2": ("MODEL",)}
argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
arg_dict["patch_embedding."] = argument
arg_dict["time_embedding."] = argument
arg_dict["time_projection."] = argument
arg_dict["text_embedding."] = argument
arg_dict["img_emb."] = argument
for i in range(40):
arg_dict["blocks.{}.".format(i)] = argument
arg_dict["head."] = argument
return {"required": arg_dict}
NODE_CLASS_MAPPINGS = {
"ModelMergeSD1": ModelMergeSD1,
"ModelMergeSD2": ModelMergeSD1, #SD1 and SD2 have the same blocks
@ -256,4 +280,5 @@ NODE_CLASS_MAPPINGS = {
"ModelMergeLTXV": ModelMergeLTXV,
"ModelMergeCosmos7B": ModelMergeCosmos7B,
"ModelMergeCosmos14B": ModelMergeCosmos14B,
"ModelMergeWAN2_1": ModelMergeWAN2_1,
}