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Update app.py
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app.py
CHANGED
@@ -39,8 +39,6 @@ pipe = None
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if is_colab:
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pipe = StableDiffusionPipeline.from_pretrained(current_model.path, torch_dtype=torch.float16)
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if torch.cuda.is_available():
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pipe = pipe.to("cuda")
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else: # download all models
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vae = AutoencoderKL.from_pretrained(current_model.path, subfolder="vae", torch_dtype=torch.float16)
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@@ -49,6 +47,9 @@ else: # download all models
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model.pipe_t2i = StableDiffusionPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16)
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model.pipe_i2i = StableDiffusionImg2ImgPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16)
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pipe = models[1].pipe_t2i
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device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶"
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if is_colab:
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pipe = StableDiffusionPipeline.from_pretrained(current_model.path, torch_dtype=torch.float16)
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else: # download all models
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vae = AutoencoderKL.from_pretrained(current_model.path, subfolder="vae", torch_dtype=torch.float16)
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model.pipe_t2i = StableDiffusionPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16)
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model.pipe_i2i = StableDiffusionImg2ImgPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16)
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pipe = models[1].pipe_t2i
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if torch.cuda.is_available():
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pipe = pipe.to("cuda")
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device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶"
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