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4 Commits
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31fe8d8678
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1d3e8377e6 |
@ -111,7 +111,7 @@ class CLIP:
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model_management.load_models_gpu([self.patcher], force_full_load=True)
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self.layer_idx = None
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self.use_clip_schedule = False
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logging.info("CLIP model load device: {}, offload device: {}, current: {}, dtype: {}".format(load_device, offload_device, params['device'], dtype))
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logging.info("CLIP/text encoder model load device: {}, offload device: {}, current: {}, dtype: {}".format(load_device, offload_device, params['device'], dtype))
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def clone(self):
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n = CLIP(no_init=True)
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@ -898,7 +898,7 @@ def load_state_dict_guess_config(sd, output_vae=True, output_clip=True, output_c
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if output_model:
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model_patcher = comfy.model_patcher.ModelPatcher(model, load_device=load_device, offload_device=model_management.unet_offload_device())
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if inital_load_device != torch.device("cpu"):
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logging.info("loaded straight to GPU")
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logging.info("loaded diffusion model directly to GPU")
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model_management.load_models_gpu([model_patcher], force_full_load=True)
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return (model_patcher, clip, vae, clipvision)
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6
main.py
6
main.py
@ -183,6 +183,12 @@ def prompt_worker(q, server_instance):
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current_time = time.perf_counter()
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execution_time = current_time - execution_start_time
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# Log Time in a more readable way after 10 minutes
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if execution_time > 600:
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execution_time = time.strftime("%H:%M:%S", time.gmtime(execution_time))
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logging.info(f"Prompt executed in {execution_time}")
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else:
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logging.info("Prompt executed in {:.2f} seconds".format(execution_time))
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flags = q.get_flags()
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@ -4,7 +4,8 @@ lint.ignore = ["ALL"]
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# Enable specific rules
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lint.select = [
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"S307", # suspicious-eval-usage
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"T201", # print-usage
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"S102", # exec
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"T", # print-usage
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"W",
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# The "F" series in Ruff stands for "Pyflakes" rules, which catch various Python syntax errors and undefined names.
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# See all rules here: https://docs.astral.sh/ruff/rules/#pyflakes-f
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