extra_networks_lora.py 2.6 KB

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  1. from modules import extra_networks, shared
  2. import networks
  3. class ExtraNetworkLora(extra_networks.ExtraNetwork):
  4. def __init__(self):
  5. super().__init__('lora')
  6. self.errors = {}
  7. """mapping of network names to the number of errors the network had during operation"""
  8. remove_symbols = str.maketrans('', '', ":,")
  9. def activate(self, p, params_list):
  10. additional = shared.opts.sd_lora
  11. self.errors.clear()
  12. if additional != "None" and additional in networks.available_networks and not any(x for x in params_list if x.items[0] == additional):
  13. p.all_prompts = [x + f"<lora:{additional}:{shared.opts.extra_networks_default_multiplier}>" for x in p.all_prompts]
  14. params_list.append(extra_networks.ExtraNetworkParams(items=[additional, shared.opts.extra_networks_default_multiplier]))
  15. names = []
  16. te_multipliers = []
  17. unet_multipliers = []
  18. dyn_dims = []
  19. for params in params_list:
  20. assert params.items
  21. names.append(params.positional[0])
  22. te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0
  23. te_multiplier = float(params.named.get("te", te_multiplier))
  24. unet_multiplier = float(params.positional[2]) if len(params.positional) > 2 else te_multiplier
  25. unet_multiplier = float(params.named.get("unet", unet_multiplier))
  26. dyn_dim = int(params.positional[3]) if len(params.positional) > 3 else None
  27. dyn_dim = int(params.named["dyn"]) if "dyn" in params.named else dyn_dim
  28. te_multipliers.append(te_multiplier)
  29. unet_multipliers.append(unet_multiplier)
  30. dyn_dims.append(dyn_dim)
  31. networks.load_networks(names, te_multipliers, unet_multipliers, dyn_dims)
  32. if shared.opts.lora_add_hashes_to_infotext:
  33. if not getattr(p, "is_hr_pass", False) or not hasattr(p, "lora_hashes"):
  34. p.lora_hashes = {}
  35. for item in networks.loaded_networks:
  36. if item.network_on_disk.shorthash and item.mentioned_name:
  37. p.lora_hashes[item.mentioned_name.translate(self.remove_symbols)] = item.network_on_disk.shorthash
  38. if p.lora_hashes:
  39. p.extra_generation_params["Lora hashes"] = ', '.join(f'{k}: {v}' for k, v in p.lora_hashes.items())
  40. def deactivate(self, p):
  41. if self.errors:
  42. p.comment("Networks with errors: " + ", ".join(f"{k} ({v})" for k, v in self.errors.items()))
  43. self.errors.clear()