27 lines
910 B
Python
27 lines
910 B
Python
import torch
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import warnings
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from latent_blending import LatentBlending
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from diffusers_holder import DiffusersHolder
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from diffusers import AutoPipelineForText2Image
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warnings.filterwarnings('ignore')
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torch.set_grad_enabled(False)
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torch.backends.cudnn.benchmark = False
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# %% First let us spawn a stable diffusion holder. Uncomment your version of choice.
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pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16")
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pipe.to("cuda")
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dh = DiffusersHolder(pipe)
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lb = LatentBlending(dh)
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lb.set_prompt1("photo of underwater landscape, fish, und the sea, incredible detail, high resolution")
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lb.set_prompt2("rendering of an alien planet, strange plants, strange creatures, surreal")
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lb.set_negative_prompt("blurry, ugly, pale")
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# Run latent blending
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lb.run_transition()
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# Save movie
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lb.write_movie_transition('movie_example1.mp4', duration_transition=12)
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