multimodalart HF staff commited on
Commit
95d9369
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1 Parent(s): 00f6a78

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -17,13 +17,13 @@ BASE_MODEL = "SG161222/Realistic_Vision_V5.1_noVAE"
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  # Initialize both pipelines
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  vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse")
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  #init_pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V5.1_noVAE", torch_dtype=torch.float16)
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- controlnet = ControlNetModel.from_pretrained("monster-labs/control_v1p_sd15_qrcode_monster", torch_dtype=torch.float16)
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  main_pipe = StableDiffusionControlNetPipeline.from_pretrained(
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  BASE_MODEL,
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  controlnet=controlnet,
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  vae=vae,
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  safety_checker=None,
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- torch_dtype=torch.float16,
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  ).to("cuda")
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  #model_id = "stabilityai/sd-x2-latent-upscaler"
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  #upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained(model_id, torch_dtype=torch.float16)
 
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  # Initialize both pipelines
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  vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse")
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  #init_pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V5.1_noVAE", torch_dtype=torch.float16)
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+ controlnet = ControlNetModel.from_pretrained("monster-labs/control_v1p_sd15_qrcode_monster")#, torch_dtype=torch.float16)
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  main_pipe = StableDiffusionControlNetPipeline.from_pretrained(
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  BASE_MODEL,
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  controlnet=controlnet,
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  vae=vae,
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  safety_checker=None,
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+ #torch_dtype=torch.float16,
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  ).to("cuda")
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  #model_id = "stabilityai/sd-x2-latent-upscaler"
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  #upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained(model_id, torch_dtype=torch.float16)