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Update app.py
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app.py
CHANGED
@@ -25,7 +25,7 @@ from illusion_style import css
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BASE_MODEL = "SG161222/Realistic_Vision_V5.1_noVAE"
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device='
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# Initialize both pipelines
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vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse", torch_dtype=torch.float16)
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@@ -37,7 +37,7 @@ main_pipe = StableDiffusionControlNetPipeline.from_pretrained(
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vae=vae,
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safety_checker=None,
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torch_dtype=torch.float16,
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).to(
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#main_pipe.unet = torch.compile(main_pipe.unet, mode="reduce-overhead", fullgraph=True)
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#main_pipe.unet.to(memory_format=torch.channels_last)
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@@ -141,7 +141,7 @@ def inference(
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main_pipe.scheduler = SAMPLER_MAP[sampler](main_pipe.scheduler.config)
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my_seed = random.randint(0, 2**32 - 1) if seed == -1 else seed
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generator = torch.Generator(device=
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out = main_pipe(
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prompt=prompt,
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BASE_MODEL = "SG161222/Realistic_Vision_V5.1_noVAE"
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device='cpu'
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# Initialize both pipelines
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vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse", torch_dtype=torch.float16)
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vae=vae,
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safety_checker=None,
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torch_dtype=torch.float16,
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).to(device)
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#main_pipe.unet = torch.compile(main_pipe.unet, mode="reduce-overhead", fullgraph=True)
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#main_pipe.unet.to(memory_format=torch.channels_last)
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main_pipe.scheduler = SAMPLER_MAP[sampler](main_pipe.scheduler.config)
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my_seed = random.randint(0, 2**32 - 1) if seed == -1 else seed
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generator = torch.Generator(device=device).manual_seed(my_seed)
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out = main_pipe(
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prompt=prompt,
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