charliebaby2023 commited on
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2bcd7c5
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1 Parent(s): 8bf9568

Update app_demo.py

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  1. app_demo.py +3 -3
app_demo.py CHANGED
@@ -14,7 +14,7 @@ from safetensors.torch import load_file
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  from concurrent.futures import ThreadPoolExecutor
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  import uuid
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  #import cv2
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-
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  DESCRIPTION = '''# Fast Stable Diffusion CPU with Latent Consistency Model
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  Distilled from [Dreamshaper v7](https://huggingface.co/Lykon/dreamshaper-7) fine-tune of [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) with only 4,000 training iterations (~32 A100 GPU Hours). [Project page](https://latent-consistency-models.github.io)
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  '''
@@ -32,7 +32,7 @@ DTYPE = torch.float32 # torch.float16 works as well, but pictures seem to be a
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  #"SimianLuo/LCM_Dreamshaper_v7"
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  '''
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- pipe = DiffusionPipeline.from_pretrained( "openskyml/lcm-lora-sdxl-turbo" , custom_pipeline="openskyml/lcm-lora-sdxl-turbo",
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  custom_revision="main",
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  low_cpu_mem_usage=True,
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  safety_checker= None,
@@ -45,7 +45,7 @@ pipe.to("cpu")
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  #from diffusers import StableDiffusionPipeline
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- model_id = "openskyml/lcm-lora-sdxl-turbo" #"SimianLuo/LCM_Dreamshaper_v7"
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  pipe = StableDiffusionPipeline.from_pretrained(model_id)
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  prompt = "A futuristic cityscape at sunset"
 
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  from concurrent.futures import ThreadPoolExecutor
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  import uuid
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  #import cv2
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+ model_id = "Lykon/dreamshaper-7" #"openskyml/lcm-lora-sdxl-turbo" #"SimianLuo/LCM_Dreamshaper_v7"
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  DESCRIPTION = '''# Fast Stable Diffusion CPU with Latent Consistency Model
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  Distilled from [Dreamshaper v7](https://huggingface.co/Lykon/dreamshaper-7) fine-tune of [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) with only 4,000 training iterations (~32 A100 GPU Hours). [Project page](https://latent-consistency-models.github.io)
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  '''
 
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  #"SimianLuo/LCM_Dreamshaper_v7"
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  '''
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+ pipe = DiffusionPipeline.from_pretrained( model_id , custom_pipeline=model_id,
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  custom_revision="main",
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  low_cpu_mem_usage=True,
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  safety_checker= None,
 
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  #from diffusers import StableDiffusionPipeline
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+
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  pipe = StableDiffusionPipeline.from_pretrained(model_id)
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  prompt = "A futuristic cityscape at sunset"