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https://github.com/comfyanonymous/ComfyUI.git
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cfc159022e
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@ -157,6 +157,7 @@ parser.add_argument("--force-non-blocking", action="store_true", help="Force Com
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parser.add_argument("--default-hashing-function", type=str, choices=['md5', 'sha1', 'sha256', 'sha512'], default='sha256', help="Allows you to choose the hash function to use for duplicate filename / contents comparison. Default is sha256.")
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parser.add_argument("--disable-fp8-compute", action="store_true", help="Prevent ComfyUI from activating fp8 compute in Nvidia cards that support it. Can prevent some issues with some models not suitable for fp8 compute.")
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parser.add_argument("--disable-smart-memory", action="store_true", help="Force ComfyUI to agressively offload to regular ram instead of keeping models in vram when it can.")
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parser.add_argument("--deterministic", action="store_true", help="Make pytorch use slower deterministic algorithms when it can. Note that this might not make images deterministic in all cases.")
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@ -1699,6 +1699,8 @@ def supports_fp8_compute(device=None):
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if not is_nvidia():
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return False
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if args.disable_fp8_compute:
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return False
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props = torch.cuda.get_device_properties(device)
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if props.major >= 9:
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@ -26,6 +26,7 @@ import uuid
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from typing import Callable, Optional
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import torch
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import tqdm
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import comfy.float
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import comfy.hooks
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@ -1651,7 +1652,11 @@ class ModelPatcherDynamic(ModelPatcher):
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self.model.model_loaded_weight_memory += casted_buf.numel() * casted_buf.element_size()
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force_load_stat = f" Force pre-loaded {len(self.backup)} weights: {self.model.model_loaded_weight_memory // 1024} KB." if len(self.backup) > 0 else ""
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logging.info(f"Model {self.model.__class__.__name__} prepared for dynamic VRAM loading. {allocated_size // (1024 ** 2)}MB Staged. {num_patches} patches attached.{force_load_stat}")
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log_key = (self.patches_uuid, allocated_size, num_patches, len(self.backup), self.model.model_loaded_weight_memory)
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in_loop = bool(getattr(tqdm.tqdm, "_instances", None))
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level = logging.DEBUG if in_loop and getattr(self, "_last_prepare_log_key", None) == log_key else logging.INFO
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self._last_prepare_log_key = log_key
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logging.log(level, f"Model {self.model.__class__.__name__} prepared for dynamic VRAM loading. {allocated_size // (1024 ** 2)}MB Staged. {num_patches} patches attached.{force_load_stat}")
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self.model.device = device_to
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self.model.current_weight_patches_uuid = self.patches_uuid
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@ -560,7 +560,7 @@ class PromptServer():
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buffer.seek(0)
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return web.Response(body=buffer.read(), content_type=f'image/{image_format}',
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headers={"Content-Disposition": f"attachment; filename=\"{filename}\""})
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headers={"Content-Disposition": f"filename=\"{filename}\""})
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if 'channel' not in request.rel_url.query:
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channel = 'rgba'
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@ -580,7 +580,7 @@ class PromptServer():
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buffer.seek(0)
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return web.Response(body=buffer.read(), content_type='image/png',
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headers={"Content-Disposition": f"attachment; filename=\"{filename}\""})
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headers={"Content-Disposition": f"filename=\"{filename}\""})
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elif channel == 'a':
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with Image.open(file) as img:
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@ -597,7 +597,7 @@ class PromptServer():
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alpha_buffer.seek(0)
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return web.Response(body=alpha_buffer.read(), content_type='image/png',
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headers={"Content-Disposition": f"attachment; filename=\"{filename}\""})
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headers={"Content-Disposition": f"filename=\"{filename}\""})
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else:
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# Use the content type from asset resolution if available,
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# otherwise guess from the filename.
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@ -614,7 +614,7 @@ class PromptServer():
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return web.FileResponse(
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file,
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headers={
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"Content-Disposition": f"attachment; filename=\"{filename}\"",
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"Content-Disposition": f"filename=\"{filename}\"",
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"Content-Type": content_type
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}
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)
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