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Runtime error
Update video_diffusion/inpaint_zoom/zoom_in_app.py
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video_diffusion/inpaint_zoom/zoom_in_app.py
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@@ -13,7 +13,7 @@ if torch.cuda.is_available():
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dtype = torch.float16
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else:
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device = torch.device("cpu")
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dtype=
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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@@ -36,14 +36,14 @@ class StableDiffusionZoomIn:
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def load_model(self, model_id):
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if self.pipe is None:
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#self.pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=dtype, revision="fp16")
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self.pipe = DiffusionPipeline.from_pretrained(model_id
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self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(self.pipe.scheduler.config)
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self.pipe = self.pipe.to(device)
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self.pipe.safety_checker = dummy
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self.pipe.enable_attention_slicing()
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self.pipe.enable_xformers_memory_efficient_attention()
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self.
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return self.pipe
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dtype = torch.float16
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else:
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device = torch.device("cpu")
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dtype= None
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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def load_model(self, model_id):
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if self.pipe is None:
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#self.pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=dtype, revision="fp16")
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self.pipe = DiffusionPipeline.from_pretrained(model_id)
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self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(self.pipe.scheduler.config)
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self.pipe = self.pipe.to(device)
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self.pipe.safety_checker = dummy
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self.pipe.enable_attention_slicing()
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#self.pipe.enable_xformers_memory_efficient_attention()
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self.g_cpu = torch.Generator(device=device)
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return self.pipe
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