| import torch | |
| import gradio as gr | |
| import lora | |
| import extra_networks_lora | |
| import ui_extra_networks_lora | |
| from modules import script_callbacks, ui_extra_networks, extra_networks, shared | |
| def unload(): | |
| torch.nn.Linear.forward = torch.nn.Linear_forward_before_lora | |
| torch.nn.Conv2d.forward = torch.nn.Conv2d_forward_before_lora | |
| def before_ui(): | |
| ui_extra_networks.register_page(ui_extra_networks_lora.ExtraNetworksPageLora()) | |
| extra_networks.register_extra_network(extra_networks_lora.ExtraNetworkLora()) | |
| if not hasattr(torch.nn, 'Linear_forward_before_lora'): | |
| torch.nn.Linear_forward_before_lora = torch.nn.Linear.forward | |
| if not hasattr(torch.nn, 'Conv2d_forward_before_lora'): | |
| torch.nn.Conv2d_forward_before_lora = torch.nn.Conv2d.forward | |
| torch.nn.Linear.forward = lora.lora_Linear_forward | |
| torch.nn.Conv2d.forward = lora.lora_Conv2d_forward | |
| script_callbacks.on_model_loaded(lora.assign_lora_names_to_compvis_modules) | |
| script_callbacks.on_script_unloaded(unload) | |
| script_callbacks.on_before_ui(before_ui) | |
| shared.options_templates.update(shared.options_section(('extra_networks', "Extra Networks"), { | |
| "sd_lora": shared.OptionInfo("None", "Add Lora to prompt", gr.Dropdown, lambda: {"choices": [""] + [x for x in lora.available_loras]}, refresh=lora.list_available_loras), | |
| "lora_apply_to_outputs": shared.OptionInfo(False, "Apply Lora to outputs rather than inputs when possible (experimental)"), | |
| })) | |