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3d6573d
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Parent(s):
07e64a1
Update app.py
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app.py
CHANGED
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@@ -12,10 +12,9 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
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IS_SPACE = os.environ.get("SPACE_ID", None) is not None
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transformer = SD3Transformer2DModel.from_pretrained(
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"stabilityai/stable-diffusion-3-medium",
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subfolder="transformer",
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torch_dtype=torch.float16,
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revision="refs/pr/26"
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)
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transformer = PeftModel.from_pretrained(transformer, "jasperai/flash-sd3")
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@@ -23,8 +22,7 @@ transformer = PeftModel.from_pretrained(transformer, "jasperai/flash-sd3")
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if torch.cuda.is_available():
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torch.cuda.max_memory_allocated(device=device)
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pipe = StableDiffusion3Pipeline.from_pretrained(
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"stabilityai/stable-diffusion-3-medium",
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revision="refs/pr/26",
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transformer=transformer,
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torch_dtype=torch.float16,
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text_encoder_3=None,
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@@ -34,8 +32,7 @@ if torch.cuda.is_available():
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pipe = pipe.to(device)
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else:
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pipe = StableDiffusion3Pipeline.from_pretrained(
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"stabilityai/stable-diffusion-3-medium",
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revision="refs/pr/26",
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transformer=transformer,
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torch_dtype=torch.float16,
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text_encoder_3=None,
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@@ -45,9 +42,8 @@ else:
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pipe.scheduler = FlashFlowMatchEulerDiscreteScheduler.from_pretrained(
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"stabilityai/stable-diffusion-3-medium",
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subfolder="scheduler",
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revision="refs/pr/26",
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)
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MAX_SEED = np.iinfo(np.int32).max
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IS_SPACE = os.environ.get("SPACE_ID", None) is not None
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transformer = SD3Transformer2DModel.from_pretrained(
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"stabilityai/stable-diffusion-3-medium-diffusers",
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subfolder="transformer",
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torch_dtype=torch.float16,
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)
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transformer = PeftModel.from_pretrained(transformer, "jasperai/flash-sd3")
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if torch.cuda.is_available():
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torch.cuda.max_memory_allocated(device=device)
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pipe = StableDiffusion3Pipeline.from_pretrained(
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+
"stabilityai/stable-diffusion-3-medium-diffusers",
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transformer=transformer,
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torch_dtype=torch.float16,
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text_encoder_3=None,
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pipe = pipe.to(device)
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else:
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pipe = StableDiffusion3Pipeline.from_pretrained(
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"stabilityai/stable-diffusion-3-medium-diffusers",
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transformer=transformer,
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torch_dtype=torch.float16,
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text_encoder_3=None,
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pipe.scheduler = FlashFlowMatchEulerDiscreteScheduler.from_pretrained(
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"stabilityai/stable-diffusion-3-medium-diffusers",
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subfolder="scheduler",
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)
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MAX_SEED = np.iinfo(np.int32).max
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