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| author | AUTOMATIC <16777216c@gmail.com> | 2022-11-26 16:45:57 +0300 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2022-11-26 16:45:57 +0300 |
| commit | 64c7b7975cedeb2aaa1a9c8eb4a479fc575843f8 (patch) | |
| tree | de42cf84bc0a1973abbdb14b32bcea390d3c1081 | |
| parent | 1123f52cadf8d86c006177791b3191e5b8388b5a (diff) | |
restore hypernetworks to seemingly working state
| -rw-r--r-- | modules/sd_hijack.py | 3 | ||||
| -rw-r--r-- | modules/ui.py | 2 |
2 files changed, 3 insertions, 2 deletions
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py index d5243fd3..64655eb1 100644 --- a/modules/sd_hijack.py +++ b/modules/sd_hijack.py @@ -9,6 +9,7 @@ from torch.nn.functional import silu import modules.textual_inversion.textual_inversion
from modules import prompt_parser, devices, sd_hijack_optimizations, shared
+from modules.hypernetworks import hypernetwork
from modules.shared import cmd_opts
from modules import sd_hijack_clip, sd_hijack_open_clip
@@ -60,7 +61,7 @@ def apply_optimizations(): def undo_optimizations():
- ldm.modules.attention.CrossAttention.forward = attention_CrossAttention_forward # this stops hypernets from working
+ ldm.modules.attention.CrossAttention.forward = hypernetwork.attention_CrossAttention_forward
ldm.modules.diffusionmodules.model.nonlinearity = diffusionmodules_model_nonlinearity
ldm.modules.diffusionmodules.model.AttnBlock.forward = diffusionmodules_model_AttnBlock_forward
diff --git a/modules/ui.py b/modules/ui.py index 16f262c4..c8b8fecd 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -1210,7 +1210,7 @@ def create_ui(wrap_gradio_gpu_call): with gr.Tab(label="Create hypernetwork"):
new_hypernetwork_name = gr.Textbox(label="Name")
- new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "1024", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
+ new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "1024", "320", "640", "1280"])
new_hypernetwork_layer_structure = gr.Textbox("1, 2, 1", label="Enter hypernetwork layer structure", placeholder="1st and last digit must be 1. ex:'1, 2, 1'")
new_hypernetwork_activation_func = gr.Dropdown(value="linear", label="Select activation function of hypernetwork. Recommended : Swish / Linear(none)", choices=modules.hypernetworks.ui.keys)
new_hypernetwork_initialization_option = gr.Dropdown(value = "Normal", label="Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise", choices=["Normal", "KaimingUniform", "KaimingNormal", "XavierUniform", "XavierNormal"])
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