Update app_demo.py
Browse files- app_demo.py +11 -3
app_demo.py
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@@ -30,17 +30,25 @@ DTYPE = torch.float32 # torch.float16 works as well, but pictures seem to be a
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#pipe = DiffusionPipeline.from_pretrained("SimianLuo/LCM_Dreamshaper_v7", custom_pipeline="latent_consistency_txt2img", custom_revision="main")
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pipe = DiffusionPipeline.from_pretrained(
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custom_revision="main",
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low_cpu_mem_usage=True
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pipe.safety_checker = None
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)
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pipe.to(torch_device="cpu", torch_dtype=DTYPE)
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pipe.to("cpu")
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def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
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#pipe = DiffusionPipeline.from_pretrained("SimianLuo/LCM_Dreamshaper_v7", custom_pipeline="latent_consistency_txt2img", custom_revision="main")
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#"SimianLuo/LCM_Dreamshaper_v7"
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pipe = DiffusionPipeline.from_pretrained( "charliebaby2023/p_y" , custom_pipeline="latent_consistency_txt2img",
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custom_revision="main",
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low_cpu_mem_usage=True
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pipe.safety_checker = None,
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torch_dtype="float16", use_safetensors=True
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)
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pipe.to(torch_device="cpu", torch_dtype=DTYPE)
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pipe.to("cpu")
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from diffusers import StableDiffusionPipeline
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model_id = "your-huggingface-username/your-safetensors-model"
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#pipe = StableDiffusionPipeline.from_pretrained(model_id,)
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#prompt = "A futuristic cityscape at sunset"
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#image = pipeline(prompt).images[0]
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#image.show()
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def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
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