diff options
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/sd_hijack.py | 10 | ||||
| -rw-r--r-- | modules/sd_hijack_optimizations.py | 38 | ||||
| -rw-r--r-- | modules/shared.py | 3 |
3 files changed, 45 insertions, 6 deletions
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py index ba808a39..5d93f7f6 100644 --- a/modules/sd_hijack.py +++ b/modules/sd_hijack.py @@ -22,11 +22,13 @@ def apply_optimizations(): undo_optimizations()
ldm.modules.diffusionmodules.model.nonlinearity = silu
-
- if cmd_opts.opt_split_attention_v1:
+ if not cmd_opts.disable_opt_xformers_attention and not (cmd_opts.opt_split_attention or torch.version.hip) and shared.xformers_available:
+ ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.xformers_attention_forward
+ ldm.modules.diffusionmodules.model.AttnBlock.forward = sd_hijack_optimizations.xformers_attnblock_forward
+ elif cmd_opts.opt_split_attention_v1:
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.split_cross_attention_forward_v1
- elif not cmd_opts.disable_opt_split_attention and (cmd_opts.opt_split_attention or torch.cuda.is_available()):
- ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.split_cross_attention_forward
+ elif cmd_opts.opt_split_attention or torch.cuda.is_available():
+ ldm.modules.attention_CrossAttention_forward = sd_hijack_optimizations.split_cross_attention_forward
ldm.modules.diffusionmodules.model.AttnBlock.forward = sd_hijack_optimizations.cross_attention_attnblock_forward
diff --git a/modules/sd_hijack_optimizations.py b/modules/sd_hijack_optimizations.py index 3351c740..e43e2c7a 100644 --- a/modules/sd_hijack_optimizations.py +++ b/modules/sd_hijack_optimizations.py @@ -1,7 +1,14 @@ import math
import torch
from torch import einsum
-
+try:
+ import xformers.ops
+ import functorch
+ xformers._is_functorch_available = True
+ shared.xformers_available = True
+except:
+ print('Cannot find xformers, defaulting to split attention. Try setting --xformers in your webui-user file if you wish to install it.')
+ continue
from ldm.util import default
from einops import rearrange
@@ -115,6 +122,25 @@ def split_cross_attention_forward(self, x, context=None, mask=None): return self.to_out(r2)
+def xformers_attention_forward(self, x, context=None, mask=None):
+ h = self.heads
+ q_in = self.to_q(x)
+ context = default(context, x)
+ hypernetwork = shared.selected_hypernetwork()
+ hypernetwork_layers = (hypernetwork.layers if hypernetwork is not None else {}).get(context.shape[2], None)
+ if hypernetwork_layers is not None:
+ k_in = self.to_k(hypernetwork_layers[0](context))
+ v_in = self.to_v(hypernetwork_layers[1](context))
+ else:
+ k_in = self.to_k(context)
+ v_in = self.to_v(context)
+ q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> b n h d', h=h), (q_in, k_in, v_in))
+ del q_in, k_in, v_in
+ out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None)
+
+ out = rearrange(out, 'b n h d -> b n (h d)', h=h)
+ return self.to_out(out)
+
def cross_attention_attnblock_forward(self, x):
h_ = x
h_ = self.norm(h_)
@@ -177,3 +203,13 @@ def cross_attention_attnblock_forward(self, x): h3 += x
return h3
+
+def xformers_attnblock_forward(self, x):
+ h_ = x
+ h_ = self.norm(h_)
+ q1 = self.q(h_).contiguous()
+ k1 = self.k(h_).contiguous()
+ v = self.v(h_).contiguous()
+ out = xformers.ops.memory_efficient_attention(q1, k1, v)
+ out = self.proj_out(out)
+ return x+out
diff --git a/modules/shared.py b/modules/shared.py index 475d7e52..d68df751 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -43,6 +43,7 @@ parser.add_argument("--realesrgan-models-path", type=str, help="Path to director parser.add_argument("--scunet-models-path", type=str, help="Path to directory with ScuNET model file(s).", default=os.path.join(models_path, 'ScuNET'))
parser.add_argument("--swinir-models-path", type=str, help="Path to directory with SwinIR model file(s).", default=os.path.join(models_path, 'SwinIR'))
parser.add_argument("--ldsr-models-path", type=str, help="Path to directory with LDSR model file(s).", default=os.path.join(models_path, 'LDSR'))
+parser.add_argument("--disable-opt-xformers-attention", action='store_true', help="force-disables xformers attention optimization")
parser.add_argument("--opt-split-attention", action='store_true', help="force-enables cross-attention layer optimization. By default, it's on for torch.cuda and off for other torch devices.")
parser.add_argument("--disable-opt-split-attention", action='store_true', help="force-disables cross-attention layer optimization")
parser.add_argument("--opt-split-attention-v1", action='store_true', help="enable older version of split attention optimization that does not consume all the VRAM it can find")
@@ -73,7 +74,7 @@ device = devices.device batch_cond_uncond = cmd_opts.always_batch_cond_uncond or not (cmd_opts.lowvram or cmd_opts.medvram)
parallel_processing_allowed = not cmd_opts.lowvram and not cmd_opts.medvram
-
+xformers_available = False
config_filename = cmd_opts.ui_settings_file
hypernetworks = hypernetwork.load_hypernetworks(os.path.join(models_path, 'hypernetworks'))
|