diff options
author | AUTOMATIC <16777216c@gmail.com> | 2022-10-11 15:54:34 +0300 |
---|---|---|
committer | AUTOMATIC <16777216c@gmail.com> | 2022-10-11 15:54:34 +0300 |
commit | b0583be0884cd17dafb408fd79b52b2a0a972563 (patch) | |
tree | 007e8ab8095cb3a5b788d3d74311e436c528ff40 /modules | |
parent | 873efeed49bb5197a42da18272115b326c5d68f3 (diff) |
more renames
Diffstat (limited to 'modules')
-rw-r--r-- | modules/hypernetworks/ui.py | 4 | ||||
-rw-r--r-- | modules/ui.py | 4 |
2 files changed, 4 insertions, 4 deletions
diff --git a/modules/hypernetworks/ui.py b/modules/hypernetworks/ui.py index 811bc31e..e7540f41 100644 --- a/modules/hypernetworks/ui.py +++ b/modules/hypernetworks/ui.py @@ -13,7 +13,7 @@ def create_hypernetwork(name): fn = os.path.join(shared.cmd_opts.hypernetwork_dir, f"{name}.pt")
assert not os.path.exists(fn), f"file {fn} already exists"
- hypernet = modules.hypernetwork.hypernetwork.Hypernetwork(name=name)
+ hypernet = modules.hypernetworks.hypernetwork.Hypernetwork(name=name)
hypernet.save(fn)
shared.reload_hypernetworks()
@@ -28,7 +28,7 @@ def train_hypernetwork(*args): try:
sd_hijack.undo_optimizations()
- hypernetwork, filename = modules.hypernetwork.hypernetwork.train_hypernetwork(*args)
+ hypernetwork, filename = modules.hypernetworks.hypernetwork.train_hypernetwork(*args)
res = f"""
Training {'interrupted' if shared.state.interrupted else 'finished'} at {hypernetwork.step} steps.
diff --git a/modules/ui.py b/modules/ui.py index 42e5d866..ee333c3b 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -1111,7 +1111,7 @@ def create_ui(wrap_gradio_gpu_call): )
create_hypernetwork.click(
- fn=modules.hypernetwork.ui.create_hypernetwork,
+ fn=modules.hypernetworks.ui.create_hypernetwork,
inputs=[
new_hypernetwork_name,
],
@@ -1164,7 +1164,7 @@ def create_ui(wrap_gradio_gpu_call): )
train_hypernetwork.click(
- fn=wrap_gradio_gpu_call(modules.hypernetwork.ui.train_hypernetwork, extra_outputs=[gr.update()]),
+ fn=wrap_gradio_gpu_call(modules.hypernetworks.ui.train_hypernetwork, extra_outputs=[gr.update()]),
_js="start_training_textual_inversion",
inputs=[
train_hypernetwork_name,
|