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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2025-08-03 19:02:27 +00:00
medvram support for SD3
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@@ -1,9 +1,12 @@
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from collections import namedtuple
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import torch
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from modules import devices, shared
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module_in_gpu = None
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cpu = torch.device("cpu")
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ModuleWithParent = namedtuple('ModuleWithParent', ['module', 'parent'], defaults=['None'])
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def send_everything_to_cpu():
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global module_in_gpu
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@@ -75,13 +78,14 @@ def setup_for_low_vram(sd_model, use_medvram):
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(sd_model, 'depth_model'),
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(sd_model, 'embedder'),
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(sd_model, 'model'),
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(sd_model, 'embedder'),
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]
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is_sdxl = hasattr(sd_model, 'conditioner')
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is_sd2 = not is_sdxl and hasattr(sd_model.cond_stage_model, 'model')
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if is_sdxl:
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if hasattr(sd_model, 'medvram_fields'):
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to_remain_in_cpu = sd_model.medvram_fields()
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elif is_sdxl:
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to_remain_in_cpu.append((sd_model, 'conditioner'))
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elif is_sd2:
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to_remain_in_cpu.append((sd_model.cond_stage_model, 'model'))
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@@ -103,7 +107,21 @@ def setup_for_low_vram(sd_model, use_medvram):
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setattr(obj, field, module)
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# register hooks for those the first three models
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if is_sdxl:
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if hasattr(sd_model.cond_stage_model, "medvram_modules"):
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for module in sd_model.cond_stage_model.medvram_modules():
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if isinstance(module, ModuleWithParent):
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parent = module.parent
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module = module.module
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else:
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parent = None
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if module:
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module.register_forward_pre_hook(send_me_to_gpu)
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if parent:
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parents[module] = parent
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elif is_sdxl:
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sd_model.conditioner.register_forward_pre_hook(send_me_to_gpu)
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elif is_sd2:
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sd_model.cond_stage_model.model.register_forward_pre_hook(send_me_to_gpu)
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@@ -117,9 +135,9 @@ def setup_for_low_vram(sd_model, use_medvram):
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sd_model.first_stage_model.register_forward_pre_hook(send_me_to_gpu)
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sd_model.first_stage_model.encode = first_stage_model_encode_wrap
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sd_model.first_stage_model.decode = first_stage_model_decode_wrap
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if sd_model.depth_model:
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if hasattr(sd_model, 'depth_model'):
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sd_model.depth_model.register_forward_pre_hook(send_me_to_gpu)
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if sd_model.embedder:
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if hasattr(sd_model, 'embedder'):
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sd_model.embedder.register_forward_pre_hook(send_me_to_gpu)
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if use_medvram:
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