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Update app.py
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app.py
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@@ -748,7 +748,15 @@ sd = {k.replace("model.diffusion_model.", ""): v for k, v in sd.items() if "mode
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model = Flux().to(dtype=torch.bfloat16, device="cuda")
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result = model.load_state_dict(sd)
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model_zero_init = False
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# model = Flux().to(dtype=torch.bfloat16, device="cuda")
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# result = model.load_state_dict(load_file("/storage/dev/nyanko/flux-dev/flux1-dev.sft"))
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@@ -766,11 +774,6 @@ def generate_image(
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device = "cuda" if torch.cuda.is_available() else "cpu"
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torch_device = torch.device(device)
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global model, model_zero_init
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if not model_zero_init:
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model = model.to(torch_device)
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model_zero_init = True
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if do_img2img and init_image is not None:
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init_image = get_image(init_image)
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if resize_img:
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model = Flux().to(dtype=torch.bfloat16, device="cuda")
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result = model.load_state_dict(sd)
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model_zero_init = False
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@spaces.GPU()
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def apply_nf4_storage():
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global model, model_zero_init
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if not model_zero_init:
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model = model.to(torch_device)
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model_zero_init = True
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apply_nf4_storage()
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# model = Flux().to(dtype=torch.bfloat16, device="cuda")
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# result = model.load_state_dict(load_file("/storage/dev/nyanko/flux-dev/flux1-dev.sft"))
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device = "cuda" if torch.cuda.is_available() else "cpu"
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torch_device = torch.device(device)
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if do_img2img and init_image is not None:
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init_image = get_image(init_image)
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if resize_img:
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