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add an experimental option to apply loras to outputs rather than inputs

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AUTOMATIC 2023-01-25 11:29:46 +03:00
parent 48a15821de
commit 1bfec873fa
2 changed files with 10 additions and 2 deletions
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3
extensions-builtin/Lora/lora.py
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@ -166,6 +166,9 @@ def lora_forward(module, input, res):
for lora in loaded_loras: for lora in loaded_loras:
module = lora.modules.get(lora_layer_name, None) module = lora.modules.get(lora_layer_name, None)
if module is not None: if module is not None:
if shared.opts.lora_apply_to_outputs and res.shape == input.shape:
res = res + module.up(module.down(res)) * lora.multiplier * (module.alpha / module.up.weight.shape[1] if module.alpha else 1.0)
else:
res = res + module.up(module.down(input)) * lora.multiplier * (module.alpha / module.up.weight.shape[1] if module.alpha else 1.0) res = res + module.up(module.down(input)) * lora.multiplier * (module.alpha / module.up.weight.shape[1] if module.alpha else 1.0)
return res return res

7
extensions-builtin/Lora/scripts/lora_script.py
View File

@ -3,7 +3,7 @@ import torch
import lora import lora
import extra_networks_lora import extra_networks_lora
import ui_extra_networks_lora import ui_extra_networks_lora
from modules import script_callbacks, ui_extra_networks, extra_networks from modules import script_callbacks, ui_extra_networks, extra_networks, shared
def unload(): def unload():
@ -28,3 +28,8 @@ torch.nn.Conv2d.forward = lora.lora_Conv2d_forward
script_callbacks.on_model_loaded(lora.assign_lora_names_to_compvis_modules) script_callbacks.on_model_loaded(lora.assign_lora_names_to_compvis_modules)
script_callbacks.on_script_unloaded(unload) script_callbacks.on_script_unloaded(unload)
script_callbacks.on_before_ui(before_ui) script_callbacks.on_before_ui(before_ui)
shared.options_templates.update(shared.options_section(('extra_networks', "Extra Networks"), {
"lora_apply_to_outputs": shared.OptionInfo(False, "Apply Lora to outputs rather than inputs when possible (experimental)"),
}))