more renames
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@ -13,7 +13,7 @@ def create_hypernetwork(name):
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fn = os.path.join(shared.cmd_opts.hypernetwork_dir, f"{name}.pt")
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assert not os.path.exists(fn), f"file {fn} already exists"
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hypernet = modules.hypernetwork.hypernetwork.Hypernetwork(name=name)
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hypernet = modules.hypernetworks.hypernetwork.Hypernetwork(name=name)
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hypernet.save(fn)
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shared.reload_hypernetworks()
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@ -28,7 +28,7 @@ def train_hypernetwork(*args):
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try:
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sd_hijack.undo_optimizations()
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hypernetwork, filename = modules.hypernetwork.hypernetwork.train_hypernetwork(*args)
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hypernetwork, filename = modules.hypernetworks.hypernetwork.train_hypernetwork(*args)
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res = f"""
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Training {'interrupted' if shared.state.interrupted else 'finished'} at {hypernetwork.step} steps.
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@ -1111,7 +1111,7 @@ def create_ui(wrap_gradio_gpu_call):
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)
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create_hypernetwork.click(
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fn=modules.hypernetwork.ui.create_hypernetwork,
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fn=modules.hypernetworks.ui.create_hypernetwork,
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inputs=[
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new_hypernetwork_name,
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],
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@ -1164,7 +1164,7 @@ def create_ui(wrap_gradio_gpu_call):
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)
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train_hypernetwork.click(
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fn=wrap_gradio_gpu_call(modules.hypernetwork.ui.train_hypernetwork, extra_outputs=[gr.update()]),
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fn=wrap_gradio_gpu_call(modules.hypernetworks.ui.train_hypernetwork, extra_outputs=[gr.update()]),
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_js="start_training_textual_inversion",
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inputs=[
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train_hypernetwork_name,
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2
webui.py
2
webui.py
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@ -83,7 +83,7 @@ modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
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shared.sd_model = modules.sd_models.load_model()
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shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model)))
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shared.opts.onchange("sd_hypernetwork", wrap_queued_call(lambda: modules.hypernetwork.hypernetwork.load_hypernetwork(shared.opts.sd_hypernetwork)))
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shared.opts.onchange("sd_hypernetwork", wrap_queued_call(lambda: modules.hypernetworks.hypernetwork.load_hypernetwork(shared.opts.sd_hypernetwork)))
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def webui():
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