mirrors/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-09-11 20:17:30 +00:00
Code Issues Packages Projects Releases Wiki Activity

Refactor comfy.ops

Browse Source 
comfy.ops -> comfy.ops.disable_weight_init

This should make it more clear what they actually do.

Some unused code has also been removed.
This commit is contained in:
comfyanonymous
2023-12-11 23:27:13 -05:00
parent b0aab1e4ea
commit 77755ab8db
10 changed files with 94 additions and 170 deletions
Download Patch File Download Diff File Expand all files Collapse all files

13
comfy/ldm/modules/attention.py
View File

@@ -19,6 +19,7 @@ if model_management.xformers_enabled():
from comfy.cli_args import args
import comfy.ops
ops = comfy.ops.disable_weight_init
# CrossAttn precision handling
if args.dont_upcast_attention:
@@ -55,7 +56,7 @@ def init_(tensor):
# feedforward
class GEGLU(nn.Module):
def __init__(self, dim_in, dim_out, dtype=None, device=None, operations=comfy.ops):
def __init__(self, dim_in, dim_out, dtype=None, device=None, operations=ops):
super().__init__()
self.proj = operations.Linear(dim_in, dim_out * 2, dtype=dtype, device=device)
@@ -65,7 +66,7 @@ class GEGLU(nn.Module):
class FeedForward(nn.Module):
def __init__(self, dim, dim_out=None, mult=4, glu=False, dropout=0., dtype=None, device=None, operations=comfy.ops):
def __init__(self, dim, dim_out=None, mult=4, glu=False, dropout=0., dtype=None, device=None, operations=ops):
super().__init__()
inner_dim = int(dim * mult)
dim_out = default(dim_out, dim)
@@ -356,7 +357,7 @@ def optimized_attention_for_device(device, mask=False):
class CrossAttention(nn.Module):
def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., dtype=None, device=None, operations=comfy.ops):
def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., dtype=None, device=None, operations=ops):
super().__init__()
inner_dim = dim_head * heads
context_dim = default(context_dim, query_dim)
@@ -389,7 +390,7 @@ class CrossAttention(nn.Module):
class BasicTransformerBlock(nn.Module):
def __init__(self, dim, n_heads, d_head, dropout=0., context_dim=None, gated_ff=True, checkpoint=True, ff_in=False, inner_dim=None,
disable_self_attn=False, disable_temporal_crossattention=False, switch_temporal_ca_to_sa=False, dtype=None, device=None, operations=comfy.ops):
disable_self_attn=False, disable_temporal_crossattention=False, switch_temporal_ca_to_sa=False, dtype=None, device=None, operations=ops):
super().__init__()
self.ff_in = ff_in or inner_dim is not None
@@ -558,7 +559,7 @@ class SpatialTransformer(nn.Module):
def __init__(self, in_channels, n_heads, d_head,
depth=1, dropout=0., context_dim=None,
disable_self_attn=False, use_linear=False,
use_checkpoint=True, dtype=None, device=None, operations=comfy.ops):
use_checkpoint=True, dtype=None, device=None, operations=ops):
super().__init__()
if exists(context_dim) and not isinstance(context_dim, list):
context_dim = [context_dim] * depth
@@ -632,7 +633,7 @@ class SpatialVideoTransformer(SpatialTransformer):
disable_self_attn=False,
disable_temporal_crossattention=False,
max_time_embed_period: int = 10000,
dtype=None, device=None, operations=comfy.ops
dtype=None, device=None, operations=ops
):
super().__init__(
in_channels,