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https://github.com/comfyanonymous/ComfyUI.git
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Add some new weight patching functionality.
Add a way to reshape lora weights. Allow weight patches to all weight not just .weight and .bias Add a way for a lora to set a weight to a specific value.
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@@ -373,14 +373,18 @@ class ModelPatcher:
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lowvram_counter = 0
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loading = []
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for n, m in self.model.named_modules():
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if hasattr(m, "comfy_cast_weights") or hasattr(m, "weight"):
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loading.append((comfy.model_management.module_size(m), n, m))
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params = []
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for name, param in m.named_parameters(recurse=False):
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params.append(name)
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if hasattr(m, "comfy_cast_weights") or len(params) > 0:
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loading.append((comfy.model_management.module_size(m), n, m, params))
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load_completely = []
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loading.sort(reverse=True)
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for x in loading:
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n = x[1]
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m = x[2]
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params = x[3]
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module_mem = x[0]
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lowvram_weight = False
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@@ -416,22 +420,21 @@ class ModelPatcher:
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if m.comfy_cast_weights:
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wipe_lowvram_weight(m)
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if hasattr(m, "weight"):
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mem_counter += module_mem
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load_completely.append((module_mem, n, m))
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mem_counter += module_mem
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load_completely.append((module_mem, n, m, params))
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load_completely.sort(reverse=True)
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for x in load_completely:
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n = x[1]
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m = x[2]
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weight_key = "{}.weight".format(n)
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bias_key = "{}.bias".format(n)
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params = x[3]
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if hasattr(m, "comfy_patched_weights"):
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if m.comfy_patched_weights == True:
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continue
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self.patch_weight_to_device(weight_key, device_to=device_to)
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self.patch_weight_to_device(bias_key, device_to=device_to)
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for param in params:
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self.patch_weight_to_device("{}.{}".format(n, param), device_to=device_to)
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logging.debug("lowvram: loaded module regularly {} {}".format(n, m))
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m.comfy_patched_weights = True
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