| 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)"), |
|
|
| })) |
|
|
